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Finci I, Rojas Castro MY, Hasibra I, Sulo J, Fico A, Daja R, Vasili A, Kota M, Preza I, Mühlemann B, Drosten C, Pebody R, Lafond KE, Kissling E, Katz MA, Bino S. Primary Series and Booster Coronavirus Disease 2019 Vaccine Effectiveness in a Cohort of Healthcare Workers in Albania During a BA.1 and BA.2 Variant Period, January-May 2022. Open Forum Infect Dis 2023; 10:ofad479. [PMID: 37885795 PMCID: PMC10599317 DOI: 10.1093/ofid/ofad479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/19/2023] [Indexed: 10/28/2023] Open
Abstract
Background Healthcare workers (HCWs) have experienced high rates of coronavirus disease 2019 (COVID-19) morbidity and mortality. We estimated COVID-19 2-dose primary series and monovalent booster vaccine effectiveness (VE) against symptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (BA.1 and BA.2) infection among HCWs in 3 Albanian hospitals during January-May 2022. Methods Study participants completed weekly symptom questionnaires, underwent polymerase chain reaction (PCR) testing when symptomatic, and provided quarterly blood samples for serology. We estimated VE using Cox regression models (1 - hazard ratio), with vaccination status as the time-varying exposure and unvaccinated HCWs as the reference group, adjusting for potential confounders: age, sex, prior SARS-CoV-2 infection (detected by PCR, rapid antigen test, or serology), and household size. Results At the start of the analysis period, 76% of 1462 HCWs had received a primary series, 10% had received a booster dose, and 9% were unvaccinated; 1307 (89%) HCWs had evidence of prior infection. Overall, 86% of primary series and 98% of booster doses received were BNT162b2. The median time interval from the second dose and the booster dose to the start of the analysis period was 289 (interquartile range [IQR], 210-292) days and 30 (IQR, 22-46) days, respectively. VE against symptomatic PCR-confirmed infection was 34% (95% confidence interval [CI], -36% to 68%) for the primary series and 88% (95% CI, 39%-98%) for the booster. Conclusions Among Albanian HCWs, most of whom had been previously infected, COVID-19 booster dose offered improved VE during a period of Omicron BA.1 and BA.2 circulation. Our findings support promoting booster dose uptake among Albanian HCWs, which, as of January 2023, was only 20%. Clinical Trials Registration. NCT04811391.
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Affiliation(s)
- Iris Finci
- Regional Office for Europe, World Health Organization,Copenhagen, Denmark
| | | | - Iris Hasibra
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
| | - Jonilda Sulo
- Southeast European Center for Surveillance and Control of Infectious Diseases,Tirana, Albania
- Mediterranean and Black Sea Programme in Intervention Epidemiology Training, European Centre for Disease Prevention and Control, Solna, Sweden
| | - Albana Fico
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
- Tirana University Hospital Centre, Tirana, Albania
| | - Rovena Daja
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
| | - Adela Vasili
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
| | - Majlinda Kota
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
| | - Iria Preza
- Country Office Albania, World Health Organization, Tirana, Albania
| | - Barbara Mühlemann
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,Berlin, Germany
- German Centre for Infection Research, partner site Charité, Berlin, Germany
| | - Christian Drosten
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,Berlin, Germany
- German Centre for Infection Research, partner site Charité, Berlin, Germany
| | - Richard Pebody
- Regional Office for Europe, World Health Organization,Copenhagen, Denmark
| | - Kathryn E Lafond
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Mark A Katz
- Regional Office for Europe, World Health Organization,Copenhagen, Denmark
| | - Silvia Bino
- Department for the Control of Infectious Diseases, Institute of Public Health, Tirana, Albania
- Southeast European Center for Surveillance and Control of Infectious Diseases,Tirana, Albania
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Katz MA, Rojas Castro MY, Seyidov N, Herdman MT, Mehdiyev S, McKnight CJ, Guseinova A, Cojocaru R, Doran J, Mühlemann B, Drosten C, Suleymanova J, Pebody R, Kissling E, Hagverdiyev G. The effectiveness of primary series CoronaVac vaccine in preventing COVID-19 illness: A prospective cohort study among healthcare workers in Azerbaijan, May-November 2021. Influenza Other Respir Viruses 2023; 17:e13147. [PMID: 37799775 PMCID: PMC10548024 DOI: 10.1111/irv.13147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 04/29/2023] [Accepted: 05/03/2023] [Indexed: 10/07/2023] Open
Abstract
Background Healthcare workers (HCWs) have suffered considerable morbidity and mortality during the COVID-19 pandemic. Few studies have evaluated the CoronaVac vaccine effectiveness (VE), particularly in Eastern Europe, where the vaccine has been widely used. Methods We conducted a prospective cohort study among HCWs in seven hospitals in Baku, Azerbaijan between May 17 and November 30, 2021, to evaluate primary series (two-dose) CoronaVac VE against symptomatic SARS-CoV-2 infection. Participants completed weekly symptom questionnaires, provided nasopharyngeal swabs for SARS-CoV-2 RT-PCR testing when symptomatic, and provided serology samples at enrollment that were tested for anti-spike and anti-nucleocapsid antibodies. We estimated VE as (1 - hazard ratio)*100 using a Cox proportional hazards model with vaccination status as a time-varying exposure, adjusting for hospital and previous SARS-CoV-2 infection status. Results We enrolled 1582 HCWs. At enrollment, 1040 (66%) had received two doses of CoronaVac; 421 (27%) were unvaccinated. During the study period, 72 PCR-positive SARS-CoV-2 infections occurred; 36/39 (92%) sequenced samples were classified as Delta variants. Primary series VE against COVID-19 illness was 29% (95% CI: -51%; 67%) for the entire analysis period. For the Delta-only period (July 1-November 30, 2021), primary series VE was 19% (95% CI: -81%; 64%). For the entire analysis period, primary series VE was 39% (95% CI: -40%; 73%) for HCWs vaccinated within 14-149 days and 19% (95% CI: -81%; 63%) for those vaccinated ≥150 days. Conclusions During a period in Azerbaijan characterized by mostly Delta circulation, VE point estimates suggested that primary series CoronaVac protected nearly 1 in 3 HCWs against COVID-19, but 95% confidence intervals were wide, with lower bounds that crossed zero, reflecting the limited precision of our VE estimates. Our findings underscore the need to consider booster doses for individuals who have received the primary series of CoronaVac.
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Affiliation(s)
- Mark A. Katz
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | | | - Nabil Seyidov
- Public Health and Reforms CenterMinistry of HealthBakuAzerbaijan
| | - M. Trent Herdman
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
| | - Samir Mehdiyev
- Public Health and Reforms CenterMinistry of HealthBakuAzerbaijan
| | - C. Jason McKnight
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Alina Guseinova
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Radu Cojocaru
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Jason Doran
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
| | - Barbara Mühlemann
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐ Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- German Centre for Infection Research (DZIF), partner site CharitéBerlinGermany
| | - Christian Drosten
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐ Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- German Centre for Infection Research (DZIF), partner site CharitéBerlinGermany
| | | | - Richard Pebody
- World Health Organization Regional Office for EuropeCopenhagenDenmark
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Rubin-Smith JE, Castro MYR, Preza I, Hasibra I, Sulo J, Fico A, Daja R, Vasili A, Kota M, Schmid A, Sridhar S, Guseinova A, Boshevska G, Bejtja G, Mühlemann B, Drosten C, Jorgensen P, Pebody R, Kissling E, Lafond KE, Katz MA, Bino S. Primary series COVID-19 vaccine effectiveness among healthcare workers in Albania, February-December 2021. IJID Reg 2023; 8:19-27. [PMID: 37317681 PMCID: PMC10106115 DOI: 10.1016/j.ijregi.2023.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 04/09/2023] [Accepted: 04/11/2023] [Indexed: 06/16/2023]
Abstract
Background Healthcare workers have experienced high rates of morbidity and mortality from coronavirus disease 2019 (COVID-19). Methods A prospective cohort study was conducted in three Albanian hospitals between 19 February and 14 December 2021. All participants underwent polymerase chain reaction (PCR) and serological testing at enrolment, regular serology throughout, and PCR testing when symptomatic.Vaccine effectiveness (VE) against COVID-19 and against all severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections (symptomatic or asymptomatic) was estimated. VE was estimated using a Cox regression model, with vaccination status as a time-varying variable. Findings In total, 1504 HCWs were enrolled in this study; 70% had evidence of prior SARS-CoV-2 infection. VE was 65.1% [95% confidence interval (CI) 37.7-80.5] against COVID-19, 58.2% (95% CI 15.7-79.3) among participants without prior SARS-CoV-2 infection, and 73.6% (95% CI 24.3-90.8) among participants with prior SARS-CoV-2 infection. For BNT162b2 alone, VE was 69.5% (95% CI 44.5-83.2). During the period when the Delta variant was predominant, VE was 67.1% (95% CI 38.3-82.5). VE against SARS-CoV-2 infection for the full study period was 36.9% (95% CI 15.8-52.7). Interpretation This study found moderate primary series VE against COVID-19 among healthcare workers in Albania. These results support the continued promotion of COVID-19 vaccination in Albania, and highlight the benefits of vaccination in populations with high levels of prior infection.
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Affiliation(s)
- Julia E. Rubin-Smith
- Global Health Program, Boston Children's Hospital, Boston, MA, USA
- Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA
| | | | - Iria Preza
- Institute of Public Health, Tirana, Albania
| | | | - Jonilda Sulo
- Southeast European Centre for Surveillance and Control of Infectious Disease, Tirana, Albania
| | | | | | | | | | - Alexis Schmid
- Global Health Program, Boston Children's Hospital, Boston, MA, USA
- Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, USA
| | - Shela Sridhar
- Global Health Program, Boston Children's Hospital, Boston, MA, USA
- Department of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
| | - Alina Guseinova
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | | | - Gazmend Bejtja
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Barbara Mühlemann
- Institute of Virology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt – Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- German Centre for Infection Research, Partner Site Charité, Berlin, Germany
| | - Christian Drosten
- Institute of Virology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt – Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- German Centre for Infection Research, Partner Site Charité, Berlin, Germany
| | - Pernille Jorgensen
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Richard Pebody
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | | | - Kathryn E. Lafond
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark A. Katz
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
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Jorgensen P, Schmid A, Sulo J, Preza I, Hasibra I, Kissling E, Fico A, Sridhar S, Rubin-Smith JE, Kota M, Vasili A, Daja R, Nika M, Pebody R, Lafond KE, Katz MA, Bino S. Factors associated with receipt of COVID-19 vaccination and SARS-CoV-2 seropositivity among healthcare workers in Albania (February 2021-June 2022): secondary analysis of a prospective cohort study. Lancet Reg Health Eur 2023; 27:100584. [PMID: 37013112 PMCID: PMC9969343 DOI: 10.1016/j.lanepe.2023.100584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/23/2022] [Accepted: 01/03/2023] [Indexed: 03/02/2023]
Abstract
Background Healthcare workers (HCWs) have been disproportionally affected by COVID-19. We investigated factors associated with two- and three-dose COVID-19 vaccine uptake and SARS-CoV-2 seropositivity among 1504 HCWs enrolled (19 February-7 May 2021) in a prospective COVID-19 vaccine effectiveness cohort in Albania through a secondary analysis. Methods We collected sociodemographic, occupational, health, prior SARS-CoV-2 infection, and COVID-19 vaccination data from all HCWs at enrollment. Vaccination status was assessed weekly through June 2022. A serum sample was collected from all participants at enrollment and tested for anti-spike SARS-CoV-2 antibodies. We analyzed HCWs characteristics and outcomes using multivariable logistic regression. Findings By 11 June 2022, 1337 (88.9%) HCWs had received two COVID-19 vaccine doses, of whom 255 (19.1%) received a booster. Factors significantly associated with receiving three doses (adjusted odds ratio (aOR), 95% CIs) were being ≥35 years (35-44 years: 1.76 (1.05-2.97); 45-54 years: 3.11 (1.92-5.05); ≥55 years: 3.38 (2.04-5.59)) and vaccinated against influenza (1.78; 1.20-2.64). Booster dose receipt was lower among females (0.58; 0.41-0.81), previously infected (0.67; 0.48-0.93), nurses and midwives (0.31; 0.22-0.45), and support staff (0.19; 0.11-0.32). Overall 1076 (72%) were SARS-CoV-2 seropositive at enrollment. Nurses and midwifes (1.45; 1.05-2.02), support staff (1.57; 1.03-2.41), and HCWs performing aerosol-generating procedures (AGPs) (1.40; 1.01-1.94) had higher odds of being seropositive, while smokers had reduced odds (0.55; 0.40-0.75). Interpretation In a large cohort of Albanian HCWs, COVID-19 vaccine booster dose uptake was very low, particularly among younger, female, and non-physician HCWs, despite evidence demonstrating the added benefit of boosters in preventing infection and severe disease. Reasons behind these disparities should be explored to develop targeted strategies in order to promote uptake in this critical population. SARS-CoV-2 seroprevalence was higher among non-physicians and HCWs performing APGs. A better understanding of the factors contributing to these differences is needed to inform interventions that could reduce infections in the future. Funding This study was funded by the Task Force for Global Health (US Centers for Disease Control (CDC) cooperative agreement # NU51IP000873) and the World Health Organization, Regional Office for Europe.
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Affiliation(s)
- Pernille Jorgensen
- World Health Organization, Regional Office for Europe, Marmorvej 51, 2100, Copenhagen, Denmark
| | - Alexis Schmid
- Boston Children's Hospital Global Health Program, Boston, MA, USA
| | - Jonilda Sulo
- Southeast European Center for Surveillance and Control of Infectious Diseases, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Iria Preza
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Iris Hasibra
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | | | - Albana Fico
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Shela Sridhar
- Boston Children's Hospital Global Health Program, Boston, MA, USA
- Brigham and Women's Hospital, Department of Global Health Equity, 651 Huntington Avenue FXB, Building, 7th Floor, Boston, MA, USA
| | | | - Majlinda Kota
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Adela Vasili
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Rovena Daja
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
| | - Miljana Nika
- Tirana University Hospital “Mother Theresa”, Dibra Street N.372, 1001, Tirana, Albania
| | - Richard Pebody
- World Health Organization, Regional Office for Europe, Marmorvej 51, 2100, Copenhagen, Denmark
| | - Kathryn E. Lafond
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark A. Katz
- World Health Organization, Regional Office for Europe, Marmorvej 51, 2100, Copenhagen, Denmark
| | - Silvia Bino
- Institute of Public Health, Alexander Moisiut Street N.80, 1001, Tirana, Albania
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Doran J, Seyidov N, Mehdiyev S, Gon G, Kissling E, Herdman T, Suleymanova J, Rehse APC, Pebody R, Katz MA, Hagverdiyev G. Factors associated with early uptake of COVID-19 vaccination among healthcare workers in Azerbaijan, 2021. Influenza Other Respir Viruses 2022; 16:626-631. [PMID: 35318799 PMCID: PMC9111775 DOI: 10.1111/irv.12978] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 02/27/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION We evaluated uptake and factors associated with COVID-19 vaccination among health workers (HWs) in Azerbaijan. RESULTS Among 1575 HWs, 73% had received at least one dose, and 67% received two doses; all received CoronaVac. Factors associated with vaccination uptake included no previous COVID-19 infection, older age, belief in the vaccine's safety, previous vaccination for influenza, having patient-facing roles and good or excellent health by self-assessment. CONCLUSION These findings could inform strategies to increase vaccination uptake as the campaign continues.
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Affiliation(s)
- Jason Doran
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Nabil Seyidov
- Centre of Public Health and Reforms of the Ministry of HealthBakuAzerbaijan
| | - Samir Mehdiyev
- Centre of Public Health and Reforms of the Ministry of HealthBakuAzerbaijan
| | - Giorgia Gon
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
- London School of Hygiene and Tropical MedicineLondonUK
| | | | - Trent Herdman
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
| | - Javahir Suleymanova
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Ana Paula Couthino Rehse
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Richard Pebody
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Mark A. Katz
- High Threat Pathogen Team, Health Emergencies ProgramWorld Health Organization Regional Office for EuropeCopenhagenDenmark
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Sridhar S, Fico A, Preza I, Hatibi I, Sulo J, Kissling E, Daja R, Ibrahim R, Lemos D, Rubin-Smith J, Schmid A, Vasili A, Valenciano M, Jorgensen P, Pebody R, Lafond KE, Katz MA, Bino S. COVID-19 vaccine effectiveness among healthcare workers in Albania (COVE-AL): protocol for a prospective cohort study and cohort baseline data. BMJ Open 2022; 12:e057741. [PMID: 35321895 PMCID: PMC8943479 DOI: 10.1136/bmjopen-2021-057741] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Critical questions remain about COVID-19 vaccine effectiveness (VE) in real-world settings, particularly in middle-income countries. We describe a study protocol to evaluate COVID-19 VE in preventing laboratory-confirmed SARS-CoV-2 infection in health workers (HWs) in Albania, an upper-middle-income country. METHODS AND ANALYSIS In this 12-month prospective cohort study, we enrolled HWs at three hospitals in Albania. HWs are vaccinated through the routine COVID-19 vaccine campaign. Participants completed a baseline survey about demographics, clinical comorbidities, and infection risk behaviours. Baseline serology samples were also collected and tested against the SARS-CoV-2 spike protein, and respiratory swabs were collected and tested for SARS-CoV-2 by RT-PCR. Participants complete weekly symptom questionnaires and symptomatic participants have a respiratory swab collected, which is tested for SARS-CoV-2. At 3, 6, 9 months and 12 months of the study, serology will be collected and tested for antibodies against the SARS-CoV-2 nucleocapsid protein and spike protein. VE will be estimated using a piecewise proportional hazards model (VE=1-HR). BASELINE DATA From February to May 2021, 1504 HWs were enrolled. The median age was 44 (range: 22-71) and 78% were female. At enrolment, 72% of participants were seropositive for SARS-CoV-2. 56% of participants were vaccinated with one dose, of whom 98% received their first shot within 4 days of enrolment. All HWs received the Pfizer BNT162b2 mRNA COVID-19 vaccine. ETHICS AND DISSEMINATION The study protocol and procedures were reviewed and approved by the WHO Ethical Review Board, reference number CERC.0097A, and the Albanian Institute of Public Health Ethical Review Board, reference number 156. All participants have provided written informed consent to participate in this study. The primary results of this study will be published in a peer-reviewed journal at the time of completion. TRIAL REGISTRATION NUMBER NCT04811391.
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Affiliation(s)
- Shela Sridhar
- Global Health Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | | | - Iria Preza
- Institute of Public Health, Tirana, Albania
| | | | - Jonilda Sulo
- Southeast European Center for Surveillance and Control of Infectious Disease, Tirana, Albania
| | | | | | - Rawi Ibrahim
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Diogo Lemos
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Julia Rubin-Smith
- Global Health Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Alexis Schmid
- Global Health Program, Boston Children's Hospital, Boston, Massachusetts, USA
| | | | | | - Pernille Jorgensen
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Richard Pebody
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | | | - Mark A Katz
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Silvia Bino
- Institute of Public Health, Southern European Centre for Surveillance and Control of Infectious Diseases (SECID), Tirana, Albania
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Katz MA, Harlev EB, Chazan B, Chowers M, Greenberg D, Peretz A, Tshori S, Levy J, Yacobi M, Hirsch A, Amichay D, Weinberger R, Dor AB, Taraday EK, Reznik D, Chayat CB, Sagas D, Zvi HB, Berdinstein R, Rashid G, Avni YS, Mandelboim M, Zuckerman N, Rainy N, Akriv A, Dagan N, Kepten E, Barda N, Balicer RD. Early effectiveness of BNT162b2 Covid-19 vaccine in preventing SARS-CoV-2 infection in healthcare personnel in six Israeli hospitals (CoVEHPI). Vaccine 2022; 40:512-520. [PMID: 34903372 PMCID: PMC8662353 DOI: 10.1016/j.vaccine.2021.11.092] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/24/2021] [Accepted: 11/29/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Methodologically rigorous studies on Covid-19 vaccine effectiveness (VE) in preventing SARS-CoV-2 infection are critically needed to inform national and global policy on Covid-19 vaccine use. In Israel, healthcare personnel (HCP) were initially prioritized for Covid-19 vaccination, creating an ideal setting to evaluate early real-world VE in a closely monitored population. METHODS We conducted a prospective study among HCP in 6 hospitals to estimate the effectiveness of the BNT162b2 mRNA Covid-19 vaccine in preventing SARS-CoV-2 infection. Participants filled out weekly symptom questionnaires, provided weekly nasal specimens, and three serology samples - at enrollment, 30 days and 90 days. We estimated VE against PCR-confirmed SARS-CoV-2 infection using the Cox Proportional Hazards model and against a combined PCR/serology endpoint using Fisher's exact test. RESULTS Of the 1567 HCP enrolled between December 27, 2020 and February 15, 2021, 1250 previously uninfected participants were included in the primary analysis; 998 (79.8%) were vaccinated with their first dose prior to or at enrollment, all with Pfizer BNT162b2 mRNA vaccine. There were four PCR-positive events among vaccinated participants, and nine among unvaccinated participants. Adjusted two-dose VE against any PCR-confirmed infection was 94.5% (95% CI: 82.6%-98.2%); adjusted two-dose VE against a combined endpoint of PCR and seroconversion for a 60-day follow-up period was 94.5% (95% CI: 63.0%-99.0%). Five PCR-positive samples from study participants were sequenced; all were alpha variant. CONCLUSIONS Our prospective VE study of HCP in Israel with rigorous weekly surveillance found very high VE for two doses of Pfizer BNT162b2 mRNA vaccine against SARS-CoV-2 infection in recently vaccinated HCP during a period of predominant alpha variant circulation. FUNDING Clalit Health Services.
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Affiliation(s)
- Mark A Katz
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel; School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel; University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Efrat Bron Harlev
- Schneider Children's Medical Center of Israel, Petach Tikvah, Israel
| | - Bibiana Chazan
- Infectious Diseases and Infection Control Unit, Ha'Emek Medical Center, Afula, Israel; Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Michal Chowers
- Infectious Diseases, Meir Medical Center, Kfar Saba, Israel; Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - David Greenberg
- Pediatric Infectious Disease Unit the Pediatric Division, Soroka University Medical Center, Beer Sheva, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Alon Peretz
- Occupational Medicine Clinic, Rabin Medical Center, Petah Tikva, Israel
| | - Sagi Tshori
- Research Authority, Kaplan Medical Center, Rehovot, Israel; The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Joseph Levy
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel
| | - Mili Yacobi
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel
| | - Avital Hirsch
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel
| | - Doron Amichay
- Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel; Clalit Central Laboratory, Clalit Health Services, Tel Aviv, Israel
| | - Ronit Weinberger
- Clalit Central Laboratory, Clalit Health Services, Tel Aviv, Israel
| | - Anat Ben Dor
- Clalit Central Laboratory, Clalit Health Services, Tel Aviv, Israel
| | | | - Dana Reznik
- Schneider Children's Medical Center of Israel, Petach Tikvah, Israel
| | - Chen Barazani Chayat
- Multidisciplinary Laboratory, Schneider Children's Medical Center of Israel, Petach Tikvah, Israel
| | - Dana Sagas
- Clinical Microbiology Laboratory, Ha'Emek Medical Center, Afula, Israel
| | - Haim Ben Zvi
- Microbiology Department, Rabin Medical Center, Petah Tikva, Israel
| | - Rita Berdinstein
- The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Microbiology Department, Kaplan Medical Center, Rehovot, Israel
| | - Gloria Rashid
- Department of Clinical Laboratories, Meir Medical Center, Kfar Saba, Israel
| | | | - Michal Mandelboim
- Central Virology Laboratory, Chaim Sheba Medical Center, Ministry of Health, Ramat Gan, Israel; Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Tel Aviv, Israel
| | - Neta Zuckerman
- Central Virology Laboratory, Chaim Sheba Medical Center, Ministry of Health, Ramat Gan, Israel
| | - Nir Rainy
- Laboratory Division, Shamir Medical Center, Zerifin, Israel
| | - Amichay Akriv
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel
| | - Noa Dagan
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel; Software and Information Systems Engineering, Ben Gurion University, Beer Sheva, Israel; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Ivan and Francesca Berkowitz Family Living Laboratory at Harvard Medical School, Boston, MA, USA
| | - Eldad Kepten
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel
| | - Noam Barda
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel; Software and Information Systems Engineering, Ben Gurion University, Beer Sheva, Israel; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Ivan and Francesca Berkowitz Family Living Laboratory at Harvard Medical School, Boston, MA, USA
| | - Ran D Balicer
- Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, Israel; School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.
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8
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Irving SA, Ball SW, Booth SM, Regan AK, Naleway AL, Buchan SA, Katz MA, Effler PV, Svenson LW, Kwong JC, Feldman BS, Klein NP, Chung H, Simmonds K. A multi-country investigation of influenza vaccine coverage in pregnant individuals, 2010-2016. Vaccine 2021; 39:7598-7605. [PMID: 34802789 DOI: 10.1016/j.vaccine.2021.11.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 11/04/2021] [Accepted: 11/08/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Many countries recommend influenza vaccination during pregnancy. Despite this recommendation, influenza vaccine among pregnant individuals remains under-utilized and uptake varies by country. Factors associated with influenza vaccine uptake during pregnancy may also vary across countries. METHODS As members of the Pregnancy Influenza Vaccine Effectiveness Network (PREVENT), five sites from four countries (Australia, Canada, Israel, and the United States) retrospectively identified cohorts of individuals aged 18-50 years who were pregnant during pre-defined influenza seasons. Influenza vaccine coverage estimates were calculated for the 2010-11 through 2015-16 northern hemisphere and the 2012 through 2015 southern hemisphere influenza seasons, by site. Sites used electronic health records, administrative data, and immunization registries to collect information on pregnancy, health history, demographics, and vaccination status. Each season, vaccination coverage was calculated as the percentage of individuals who received influenza vaccine among the individuals in the cohort that season. Characteristics were compared between those vaccinated and unvaccinated, by site. RESULTS More than two million pregnancies were identified over the study period. Influenza vaccination coverage ranged from 5% to 58% across sites and seasons. Coverage increased consistently over the study period at three of the five sites (Western Australia, Alberta, and Israel), and was highest in all seasons at the United States study site (39-58%). Associations with vaccination varied by country and across seasons; where available, parity >0, presence of a high-risk medical condition, and urban residence were consistently associated with increased likelihood of vaccination. CONCLUSIONS Though increasing, uptake of influenza vaccine among pregnant individuals remains lower than recommended. Coverage varied substantially by country, suggesting an ongoing need for targeted strategies to improve influenza vaccine uptake in this population.
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Affiliation(s)
| | - Sarah W Ball
- Abt Associates, Cambridge MA, USA; Westat, Rockville, MD, USA
| | | | - Annette K Regan
- School of Public Health, Curtin University, Perth, Australia; Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia; School of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA
| | | | - Sarah A Buchan
- ICES, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Public Health Ontario, Toronto, Canada
| | - Mark A Katz
- Clalit Research Institute, Tel Aviv, Israel; Medical School for International Health and School of Public Health, Ben Gurion University of the Negev, Beersheva, Israel; University of Michigan School of Public Health, Ann Arbor MI, USA
| | - Paul V Effler
- Communicable Disease Control Directorate, Department of Health Western Australia, Perth, WA, Australia
| | - Lawrence W Svenson
- Cumming School of Medicine, University of Calgary, Calgary, Canada; Alberta Ministry of Health, Edmonton, Canada; Division of Preventive Medicine, University of Alberta, Edmonton, Canada; School of Public Health, University of Alberta, Edmonton, Canada
| | - Jeffrey C Kwong
- ICES, Toronto, Canada; Medical School for International Health and School of Public Health, Ben Gurion University of the Negev, Beersheva, Israel; Public Health Ontario, Toronto, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada; University Health Network, Toronto, ON, Canada
| | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Oakland, CA, USA
| | | | - Kimberley Simmonds
- Cumming School of Medicine, University of Calgary, Calgary, Canada; Alberta Ministry of Health, Edmonton, Canada
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9
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Desormeaux AM, Burnett E, Joseph G, Lucien MAB, Aliabadi N, Pierre M, Dély P, Pierre K, Fitter D, Leshem E, Tate JE, Bowen MD, Esona M, Gautier J, Siné F, Katz MA, Grant-Greene Y, Parashar UD, Patel R, Boncy J, Juin S. Impact of Monovalent Rotavirus Vaccine on Rotavirus Hospitalizations among Children Younger Than 5 Years of Age in the Ouest and Artibonite Departments, Haiti, 2013 to 2019. Am J Trop Med Hyg 2021; 105:1309-1316. [PMID: 34398813 DOI: 10.4269/ajtmh.21-0414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 06/14/2021] [Indexed: 11/07/2022] Open
Abstract
Rotavirus is responsible for 26% of diarrheal deaths in Latin America and the Caribbean. Haiti introduced the monovalent rotavirus vaccine in April 2014. The objective of this analysis is to describe the impact of the rotavirus vaccine on hospitalizations among Haitian children younger than 5 years old during the first 5 years after introduction. This analysis includes all children with diarrhea who were enrolled as part of a sentinel surveillance system at two hospitals from May 2013 to April 2019. We compare the proportion of rotavirus-positive specimens in each post-vaccine introduction year to the pre-vaccine period. To account for the potential dilution of the proportion of rotavirus-positive specimens from a waning cholera outbreak, we also analyzed annual trends in the absolute number of positive stools, fit a two-component finite-mixture model to the negative specimens, and fit a negative binomial time series model to the pre-vaccine rotavirus-positive specimens to predict the number of rotavirus diarrhea hospital admissions in the absence of rotavirus vaccination. The overall percentage of rotavirus-positive specimens declined by 22% the first year after introduction, increased by 17% the second year, and declined by 33% to 50% the subsequent 3 years. All sensitivity analyses confirmed an overall decline. We observed a clear annual rotavirus seasonality before and after vaccine introduction, with the greatest activity in December through April, and a biennial pattern, with high sharp peaks and flatter longer periods of increased rotavirus activity in alternating years, consistent with suboptimal vaccination coverage. Overall, our study shows evidence that the introduction of the rotavirus vaccine reduced the burden of severe rotavirus diarrhea.
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Affiliation(s)
| | - Eleanor Burnett
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Gérard Joseph
- National Public Health Laboratory, Ministère de la Santé Publique et de la Population/Laboratoire National de Sante Publique, Haiti
| | - Mentor Ali Ber Lucien
- National Public Health Laboratory, Ministère de la Santé Publique et de la Population/Laboratoire National de Sante Publique, Haiti
| | - Negar Aliabadi
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | | | - Patrick Dély
- Directorate of Epidemiology, Laboratory and Research, Ministère de la Santé Publique et de la Population/La Direction d'Epidémiologie, de Laboratoires, de Recherche, Haiti
| | - Katilla Pierre
- Directorate of Epidemiology, Laboratory and Research, Ministère de la Santé Publique et de la Population/La Direction d'Epidémiologie, de Laboratoires, de Recherche, Haiti
| | | | - Eyal Leshem
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Jacqueline E Tate
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Michael D Bowen
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | - Mathew Esona
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | | | | | | | | | - Umesh D Parashar
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, Georgia
| | | | - Jacques Boncy
- National Public Health Laboratory, Ministère de la Santé Publique et de la Population/Laboratoire National de Sante Publique, Haiti
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10
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Burnett E, Juin S, Esona MD, Desormeaux AM, Aliabadi N, Pierre M, Andre-Alboth J, Leshem E, Etheart MD, Patel R, Dely P, Fitter D, Jean-Denis G, Kalou M, Katz MA, Bowen MD, Grant-Greene Y, Boncy J, Parashar UD, Joseph GA, Tate JE. Effectiveness of monovalent rotavirus vaccine against hospitalizations due to all rotavirus and equine-like G3P[8] genotypes in Haiti 2014-2019. Vaccine 2021; 39:4458-4462. [PMID: 34187708 PMCID: PMC8474148 DOI: 10.1016/j.vaccine.2021.06.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/16/2021] [Accepted: 06/19/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Rotavirus vaccines are effective in preventing severe rotavirus. Haiti introduced 2-dose monovalent (G1P[8]) rotavirus vaccine recommended for infants at 6 and 10 weeks of age in 2014. We calculated the effectiveness of rotavirus vaccine against hospitalization for acute gastroenteritis in Haiti. METHODS We enrolled children 6-59 months old admitted May 2014-September 2019 for acute watery diarrhea at any sentinel surveillance hospital. Stool was tested for rotavirus using enzyme immunoassay (EIA) and genotyped with multiplex one-step RT-PCR assay and Sanger sequencing for stratification by genotype. We used a case-negative design where cases were children positive for rotavirus and controls were negative for rotavirus. Only children eligible for vaccination were included and a child was considered vaccinated if vaccine was given ≥ 14 days before enrollment. We used unconditional logistic regression to calculate odds ratios and calculated 2-dose and 1-dose vaccine effectiveness (VE) as (1 - odds ratio) * 100. RESULTS We included 129 (19%) positive cases and 543 (81%) negative controls. Among cases, 77 (60%) were positive for equine-like G3P[8]. Two doses of rotavirus vaccine were 66% (95% CI: 44, 80) effective against hospitalizations due to any strain of rotavirus and 64% (95% CI: 33, 81) effective against hospitalizations due to the equine-like G3P[8] genotype. CONCLUSIONS These findings are comparable to other countries in the Americas region. To the best of our knowledge, this is the first VE estimate both against the equine-like G3P[8] genotype and from a Caribbean country. Overall, these results support rotavirus vaccine use and demonstrate the importance of complete vaccination.
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Affiliation(s)
| | | | | | | | | | | | - Jocelyn Andre-Alboth
- Ministry of Public Health and Population - Laboratoire National de Sante Publique, Port-au-Prince, Haiti
| | - Eyal Leshem
- Division of Viral Diseases, NCIRD, CDC, USA; Sheba Medical Center and Tel Aviv University, Tel Aviv, Israel
| | | | | | - Patrick Dely
- Ministry of Public Health and Population - Directorate of Epidemiology, Laboratory and Research (DELR), Port-au-Prince, Haiti
| | | | | | | | | | | | | | - Jacques Boncy
- Ministry of Public Health and Population - Laboratoire National de Sante Publique, Port-au-Prince, Haiti
| | | | - Gerard A Joseph
- Ministry of Public Health and Population - Laboratoire National de Sante Publique, Port-au-Prince, Haiti
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11
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Patel MK, Bergeri I, Bresee JS, Cowling BJ, Crowcroft NS, Fahmy K, Hirve S, Kang G, Katz MA, Lanata CF, L'Azou Jackson M, Joshi S, Lipsitch M, Mwenda JM, Nogareda F, Orenstein WA, Ortiz JR, Pebody R, Schrag SJ, Smith PG, Srikantiah P, Subissi L, Valenciano M, Vaughn DW, Verani JR, Wilder-Smith A, Feikin DR. Evaluation of post-introduction COVID-19 vaccine effectiveness: Summary of interim guidance of the World Health Organization. Vaccine 2021; 39:4013-4024. [PMID: 34119350 PMCID: PMC8166525 DOI: 10.1016/j.vaccine.2021.05.099] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/27/2021] [Indexed: 01/07/2023]
Abstract
Phase 3 randomized-controlled trials have provided promising results of COVID-19 vaccine efficacy, ranging from 50 to 95% against symptomatic disease as the primary endpoints, resulting in emergency use authorization/listing for several vaccines. However, given the short duration of follow-up during the clinical trials, strict eligibility criteria, emerging variants of concern, and the changing epidemiology of the pandemic, many questions still remain unanswered regarding vaccine performance. Post-introduction vaccine effectiveness evaluations can help us to understand the vaccine's effect on reducing infection and disease when used in real-world conditions. They can also address important questions that were either not studied or were incompletely studied in the trials and that will inform evolving vaccine policy, including assessment of the duration of effectiveness; effectiveness in key subpopulations, such as the very old or immunocompromised; against severe disease and death due to COVID-19; against emerging SARS-CoV-2 variants of concern; and with different vaccination schedules, such as number of doses and varying dosing intervals. WHO convened an expert panel to develop interim best practice guidance for COVID-19 vaccine effectiveness evaluations. We present a summary of the interim guidance, including discussion of different study designs, priority outcomes to evaluate, potential biases, existing surveillance platforms that can be used, and recommendations for reporting results.
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Affiliation(s)
- Minal K Patel
- World Health Organization, 20 Avenue Appia, Geneva 1211, Switzerland.
| | - Isabel Bergeri
- World Health Organization, 20 Avenue Appia, Geneva 1211, Switzerland
| | - Joseph S Bresee
- U.S. Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, USA
| | - Benjamin J Cowling
- School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong, China
| | | | - Kamal Fahmy
- World Health Organization Regional Office for the Eastern Mediterranean, Monazamet El Seha El Alamia Str, Extension of Abdel Razak El Sanhouri Street, P.O. Box 7608, Nasr City, Cairo 11371, Egypt
| | | | - Gagandeep Kang
- Christian Medical College, Ida Scudder Road, Vellore, Tamil Nadu 632004, India
| | - Mark A Katz
- World Health Organization Regional Office of Europe, UN City, Marmorvej 51, Copenhagen DK-2100, Denmark
| | - Claudio F Lanata
- Instituto de Investigación Nutricional, Av. la Molina 1885, La Molina 15024, Peru
| | - Maïna L'Azou Jackson
- The Coalition for Epidemic Preparedness Innovations (CEPI), Gibbs building, 215 Euston Rd, Bloomsbury, London NW1 2BE, United Kingdom
| | - Sudhir Joshi
- World Health Organization Regional Office for South-East Asia, World Health House, Indraprastha Estate, Mahatma Gandhi Marg, New Delhi 110 002, India
| | - Marc Lipsitch
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jason M Mwenda
- World Health Organization Regional Office for Africa, Cité du Djoué, P.O. Box 06, Brazzaville, Republic of Congo
| | - Francisco Nogareda
- Consultant to the Pan American Health Organization, 525 23rd Street NW, Washington, DC 20037, USA
| | | | - Justin R Ortiz
- Center for Vaccine Development & Global Health, University of Maryland School of Medicine, 685 W. Baltimore St., Room #480, Baltimore, MD 21201, USA
| | - Richard Pebody
- World Health Organization Regional Office of Europe, UN City, Marmorvej 51, Copenhagen DK-2100, Denmark
| | - Stephanie J Schrag
- U.S. Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, USA
| | - Peter G Smith
- MRC International Epidemiology & Statistics Group, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom
| | | | - Lorenzo Subissi
- World Health Organization, 20 Avenue Appia, Geneva 1211, Switzerland
| | | | - David W Vaughn
- Bill & Melinda Gates Foundation, 500 5th Ave N., Seattle, WA 98109, USA
| | - Jennifer R Verani
- U.S. Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, USA
| | | | - Daniel R Feikin
- World Health Organization, 20 Avenue Appia, Geneva 1211, Switzerland
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12
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Abstract
BACKGROUND As mass vaccination campaigns against coronavirus disease 2019 (Covid-19) commence worldwide, vaccine effectiveness needs to be assessed for a range of outcomes across diverse populations in a noncontrolled setting. In this study, data from Israel's largest health care organization were used to evaluate the effectiveness of the BNT162b2 mRNA vaccine. METHODS All persons who were newly vaccinated during the period from December 20, 2020, to February 1, 2021, were matched to unvaccinated controls in a 1:1 ratio according to demographic and clinical characteristics. Study outcomes included documented infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), symptomatic Covid-19, Covid-19-related hospitalization, severe illness, and death. We estimated vaccine effectiveness for each outcome as one minus the risk ratio, using the Kaplan-Meier estimator. RESULTS Each study group included 596,618 persons. Estimated vaccine effectiveness for the study outcomes at days 14 through 20 after the first dose and at 7 or more days after the second dose was as follows: for documented infection, 46% (95% confidence interval [CI], 40 to 51) and 92% (95% CI, 88 to 95); for symptomatic Covid-19, 57% (95% CI, 50 to 63) and 94% (95% CI, 87 to 98); for hospitalization, 74% (95% CI, 56 to 86) and 87% (95% CI, 55 to 100); and for severe disease, 62% (95% CI, 39 to 80) and 92% (95% CI, 75 to 100), respectively. Estimated effectiveness in preventing death from Covid-19 was 72% (95% CI, 19 to 100) for days 14 through 20 after the first dose. Estimated effectiveness in specific subpopulations assessed for documented infection and symptomatic Covid-19 was consistent across age groups, with potentially slightly lower effectiveness in persons with multiple coexisting conditions. CONCLUSIONS This study in a nationwide mass vaccination setting suggests that the BNT162b2 mRNA vaccine is effective for a wide range of Covid-19-related outcomes, a finding consistent with that of the randomized trial.
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Affiliation(s)
- Noa Dagan
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Noam Barda
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Eldad Kepten
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Oren Miron
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Shay Perchik
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Mark A Katz
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Miguel A Hernán
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Marc Lipsitch
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Ben Reis
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
| | - Ran D Balicer
- From the Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv (N.D., N.B., E.K., O.M., S.P., M.A.K., R.D.B.), and the School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva (O.M., M.A.K., R.D.B.) - both in Israel; University of Michigan School of Public Health, Ann Arbor (M.A.K.); and the Department of Biomedical Informatics (N.D., N.B.), Harvard Medical School (B.R.), the Departments of Epidemiology and Biostatistics (M.A.H.), and the Center for Communicable Disease Dynamics, Departments of Epidemiology and of Immunology and Infectious Diseases (M.L.), Harvard T.H. Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology (M.A.H.), and the Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital (B.R.) - all in Boston
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Gur-Arie R, Katz MA, Hirsch A, Greenberg D, Malosh R, Newes-Adeyi G, Davidovitch N, Rosenthal A. "You Have to Die Not to Come to Work": A Mixed Methods Study of Attitudes and Behaviors regarding Presenteeism, Absenteeism and Influenza Vaccination among Healthcare Personnel with Respiratory Illness in Israel, 2016-2019. Vaccine 2021; 39:2366-2374. [PMID: 33789798 DOI: 10.1016/j.vaccine.2021.03.057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 01/23/2021] [Accepted: 03/17/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Healthcare personnel (HCP) have an increased risk of exposure to influenza and other respiratory pathogens. Increased presenteeism, decreased absenteeism, and low uptake of the influenza vaccine can contribute to the spread of influenza among HCP in healthcare settings. We used a mixed methods approach to investigate attitudes and behaviors of HCP in Israel towards influenza vaccination, presenteeism, and absenteeism. METHODS The study took place over three influenza seasons (2016-2017, 2017-2018, 2018-2019) at the largest hospital in southern Israel. We administered a Knowledge, Attitudes and Practices (KAP) questionnaire and conducted semi-structured interviews with HCP who had been recently ill with respiratory symptoms. The KAP questionnaire included closed-ended questions about attitudes and behaviors regarding influenza, working while sick, and influenza vaccination. The interviews investigated HCP's perceptions of influenza infection and attitudes about absenteeism, presenteeism, and the influenza vaccine. RESULTS We conducted 74 semi-structured interviews over three influenza seasons. Four HCP were interviewed twice, in separate seasons for different illness episodes. The 70 individuals interviewed included 16 physicians, 45 nurses or technicians, and 9 administrative staff. The median age was 42.5 years (range: 25-60), and most (79%) were female. Half (50%) got vaccinated against influenza before their illness episode. In interviews, most HCP said they come to work while sick (presenteeism) due to a strong personal work ethic and an institutional culture that discourages taking sick leave (absenteeism). HCP expressed skepticism about the effectiveness of the influenza vaccine as well as concern that the influenza vaccine causes severe illness. DISCUSSION Over three influenza seasons in Israel, HCP cited a number of reasons for working while sick, and doubted the usefulness of influenza vaccine. Addressing reasons for presenteeism and vaccine hesitancy among HCP is crucial to protect HCP and patients from influenza virus infection and other viral respiratory illnesses, such as COVID-19.
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Affiliation(s)
- Rachel Gur-Arie
- Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, USA; Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.
| | - Mark A Katz
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel; School of Public Health, Medical School for International Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Avital Hirsch
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - David Greenberg
- Pediatric Infectious Disease Unit, Soroka University Medical Center, Beer Sheva, Israel
| | - Ryan Malosh
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Nadav Davidovitch
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Anat Rosenthal
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
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Segaloff HE, Leventer-Roberts M, Riesel D, Malosh RE, Feldman BS, Shemer-Avni Y, Key C, Monto AS, Martin ET, Katz MA. Influenza Vaccine Effectiveness Against Hospitalization in Fully and Partially Vaccinated Children in Israel: 2015-2016, 2016-2017, and 2017-2018. Clin Infect Dis 2020; 69:2153-2161. [PMID: 30753347 DOI: 10.1093/cid/ciz125] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 02/05/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Influenza vaccine effectiveness (VE) varies by season, circulating influenza strain, age, and geographic location. There have been few studies of influenza VE among hospitalized children, particularly in Europe and the Middle East. METHODS We estimated VE against influenza hospitalization among children aged 6 months to 8 years at Clalit Health Services hospitals in Israel in the 2015-2016, 2016-2017, and 2017-2018 influenza seasons, using the test-negative design. Estimates were computed for full and partial vaccination. RESULTS We included 326 influenza-positive case patients and 2821 influenza-negative controls (140 case patients and 971 controls from 2015-2016, 36 case patients and 1069 controls from 2016-2017, and 150 case patients and 781 controls from 2017-2018). Over all seasons, VE was 53.9% for full vaccination (95% confidence interval [CI], 38.6%-68.3%), and 25.6% for partial vaccination (-3% to 47%). In 2015-2016, most viruses were influenza A(H1N1) and vaccine lineage-mismatched influenza B/Victoria; the VE for fully vaccinated children was statistically significant for influenza A (80.7%; 95% CI, 40.3%-96.1%) but not B (23.0%; -38.5% to 59.4%). During 2016-2017, influenza A(H3N2) predominated, and VE was (70.8%; 95% CI, 17.4%-92.4%). In 2017-2018, influenza A(H3N2), H1N1 and lineage-mismatched influenza B/Yamagata cocirculated; VE was statistically significant for influenza B (63.0%; 95% CI, 24.2%-83.7%) but not influenza A (46.3%; -7.2% to 75.3%). CONCLUSIONS Influenza vaccine was effective in preventing hospitalizations among fully vaccinated Israeli children over 3 influenza seasons, but not among partially vaccinated children. There was cross-lineage protection in a season where the vaccine contained B/Victoria and the circulating strain was B/Yamagata, but not in a season with the opposite vaccine-circulating strain distribution.
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Affiliation(s)
| | | | - Dan Riesel
- Clalit Health Services, Clalit Research Institute, Tel Aviv
| | - Ryan E Malosh
- University of Michigan School of Public Health, Ann Arbor
| | | | | | - Calanit Key
- Clalit Community Division, Clalit Health Services, Tel Aviv
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor
| | - Mark A Katz
- University of Michigan School of Public Health, Ann Arbor.,Clalit Health Services, Clalit Research Institute, Tel Aviv.,Ben Gurion University, Beer Sheva, Israel
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15
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Thompson MG, Kwong JC, Regan AK, Katz MA, Drews SJ, Azziz-Baumgartner E, Klein NP, Chung H, Effler PV, Feldman BS, Simmonds K, Wyant BE, Dawood FS, Jackson ML, Fell DB, Levy A, Barda N, Svenson LW, Fink RV, Ball SW, Naleway A. Influenza Vaccine Effectiveness in Preventing Influenza-associated Hospitalizations During Pregnancy: A Multi-country Retrospective Test Negative Design Study, 2010-2016. Clin Infect Dis 2020; 68:1444-1453. [PMID: 30307490 DOI: 10.1093/cid/ciy737] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 10/05/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND To date, no study has examined influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza-associated hospitalizations during pregnancy. METHODS The Pregnancy Influenza Vaccine Effectiveness Network (PREVENT) consisted of public health or healthcare systems with integrated laboratory, medical, and vaccination records in Australia, Canada (Alberta and Ontario), Israel, and the United States (California, Oregon, and Washington). Sites identified pregnant women aged 18 through 50 years whose pregnancies overlapped with local influenza seasons from 2010 through 2016. Administrative data were used to identify hospitalizations with acute respiratory or febrile illness (ARFI) and clinician-ordered real-time reverse transcription polymerase chain reaction (rRT-PCR) testing for influenza viruses. Overall IVE was estimated using the test-negative design and adjusting for site, season, season timing, and high-risk medical conditions. RESULTS Among 19450 hospitalizations with an ARFI discharge diagnosis (across 25 site-specific study seasons), only 1030 (6%) of the pregnant women were tested for influenza viruses by rRT-PCR. Approximately half of these women had pneumonia or influenza discharge diagnoses (54%). Influenza A or B virus infections were detected in 598/1030 (58%) of the ARFI hospitalizations with influenza testing. Across sites and seasons, 13% of rRT-PCR-confirmed influenza-positive pregnant women were vaccinated compared with 22% of influenza-negative pregnant women; the adjusted overall IVE was 40% (95% confidence interval = 12%-59%) against influenza-associated hospitalization during pregnancy. CONCLUSION Between 2010 and 2016, influenza vaccines offered moderate protection against laboratory-confirmed influenza-associated hospitalizations during pregnancy, which may further inform the benefits of maternal influenza vaccination programs.
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Affiliation(s)
- Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeffrey C Kwong
- Institute for Clinical Evaluative Sciences.,Public Health Ontario.,Department of Family and Community Medicine, University of Toronto.,Dalla Lana School of Public Health, University of Toronto.,University Health Network, Toronto, Ontario, Canada
| | - Annette K Regan
- School of Public Health, Curtin University, Perth.,Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Subiaco, Western Australia, Australia
| | - Mark A Katz
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv.,School of Public Health, Medical School for International Health, Ben Gurion University, Bersheva, Israel.,University of Michigan School of Public Health, Ann Arbor
| | - Steven J Drews
- University of Alberta.,ProvLab Alberta, Edmonton, Canada
| | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland
| | | | - Paul V Effler
- Communicable Disease Control Directorate, Department of Health Western Australia, Perth, Australia
| | - Becca S Feldman
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv
| | - Kimberley Simmonds
- Cumming School of Medicine, University of Calgary.,Alberta Health, Edmonton, Canada
| | | | - Fatimah S Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael L Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Deshayne B Fell
- Institute for Clinical Evaluative Sciences.,School of Epidemiology and Public Health, University of Ottawa.,Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Avram Levy
- Department of Microbiology, QEII Medical Centre, PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
| | - Noam Barda
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv
| | - Lawrence W Svenson
- Alberta Health, Edmonton, Canada.,Division of Preventive Medicine.,School of Public Health, University of Alberta, Edmonton.,Department of Community Health Sciences, University of Calgary, Alberta, Canada
| | | | | | - Allison Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
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16
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Dawood FS, Garg S, Fink RV, Russell ML, Regan AK, Katz MA, Booth S, Chung H, Klein NP, Kwong JC, Levy A, Naleway A, Riesel D, Thompson MG, Wyant BE, Fell DB. Epidemiology and Clinical Outcomes of Hospitalizations for Acute Respiratory or Febrile Illness and Laboratory-Confirmed Influenza Among Pregnant Women During Six Influenza Seasons, 2010-2016. J Infect Dis 2020; 221:1703-1712. [PMID: 31875916 PMCID: PMC10563870 DOI: 10.1093/infdis/jiz670] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 12/23/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Pregnant women are at increased risk of seasonal influenza hospitalizations, but data about the epidemiology of severe influenza among pregnant women remain largely limited to pandemics. METHODS To describe the epidemiology of hospitalizations for acute respiratory infection or febrile illness (ARFI) and influenza-associated ARFI among pregnant women, administrative and electronic health record data were analyzed from retrospective cohorts of pregnant women hospitalized with ARFI who had testing for influenza viruses by reverse-transcription polymerase chain reaction (RT-PCR) in Australia, Canada, Israel, and the United States during 2010-2016. RESULTS Of 18 048 ARFI-coded hospitalizations, 1064 (6%) included RT-PCR testing for influenza viruses, 614 (58%) of which were influenza positive. Of 614 influenza-positive ARFI hospitalizations, 35% were in women with low socioeconomic status, 20% with underlying conditions, and 67% in their third trimesters. The median length of influenza-positive hospitalizations was 2 days (interquartile range, 1-4), 18% (95% confidence interval [CI], 15%-21%) resulted in delivery, 10% (95% CI, 8%-12%) included a pneumonia diagnosis, 5% (95% CI, 3%-6%) required intensive care, 2% (95% CI, 1%-3%) included a sepsis diagnosis, and <1% (95% CI, 0%-1%) resulted in respiratory failure. CONCLUSIONS Our findings characterize seasonal influenza hospitalizations among pregnant women and can inform assessments of the public health and economic impact of seasonal influenza on pregnant women.
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Affiliation(s)
- Fatimah S. Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Annette K. Regan
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Mark A. Katz
- Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
- School of Public Health, Medical School for International Health, Ben Gurion University, Beer-Sheva, Israel
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Stephanie Booth
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | - Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California, USA
| | - Jeffrey C. Kwong
- ICES, Toronto, Ontario, Canada
- Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
| | - Avram Levy
- PathWest Laboratory Medicine WA, Perth, Western Australia, Australia
| | - Allison Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Dan Riesel
- Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Mark G. Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Deshayne B. Fell
- ICES, Toronto, Ontario, Canada
- University of Ottawa, Ottawa, Ontario, Canada
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
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17
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Regan AK, Feldman BS, Azziz-Baumgartner E, Naleway AL, Williams J, Wyant BE, Simmonds K, Effler PV, Booth S, Ball SW, Katz MA, Fink RV, Thompson MG, Chung H, Kwong JC, Fell DB. An international cohort study of birth outcomes associated with hospitalized acute respiratory infection during pregnancy. J Infect 2020; 81:48-56. [PMID: 32325131 DOI: 10.1016/j.jinf.2020.03.057] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/27/2020] [Accepted: 03/29/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Findings during the 2009 pandemic suggest severe maternal infection with pandemic influenza had adverse perinatal health consequences. Limited data exist evaluating the perinatal health effects of severe seasonal influenza and non-influenza infections during pregnancy. METHODS A retrospective cohort of pregnant women from Australia, Canada, Israel, and the United States was established using birth records to identify pregnancies and birth outcomes and hospital and laboratory testing records to identify influenza and non-influenza associated acute respiratory or febrile illness (ARFI) hospitalizations. ARFI hospitalized women were matched to non-hospitalized women (1:4) by country and season of conception. Log-binomial regression was used to estimate the relative risk (aRR) of preterm birth (PTB), small-for-gestational-age (SGA), and low birthweight (LBW) birth, adjusting for pre-existing medical conditions, maternal age, and parity. RESULTS 950 pregnant women hospitalized with an ARFI were matched with 3,800 non-hospitalized pregnant women. Compared to non-hospitalized women, risk of PTB was greater among women hospitalized with influenza-associated ARFI (aRR: 1.57; 95% CI: 1.15-2.15) and non-influenza ARFI (aRR: 2.78; 95% CI: 2.12-3.65). Similar results were observed for LBW; there were no associations with SGA birth. CONCLUSIONS ARFI hospitalization during pregnancy was associated with increased risk of PTB and LBW.
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Affiliation(s)
- Annette K Regan
- Department of Epidemiology & Biostatistics, School of Public Health, Texas A&M University, 212 Adriance Lab Rd, 1266 TAMU, College Station TX 77843-1266, United States; School of Public Health, Curtin University, Perth, Western Australia, Australia; Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia.
| | - Becca S Feldman
- Clalit Research Institute, Clalit Health Services, Ramat Gan, Israel
| | | | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, United States
| | - Jennifer Williams
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | | | - Kim Simmonds
- Alberta Health, Edmonton, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
| | - Paul V Effler
- Communicable Disease Control Directorate, Western Australia Department of Health, Perth, WA, Australia
| | - Stephanie Booth
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
| | - Sarah W Ball
- Abt Associates Inc, Cambridge, MA, United States
| | - Mark A Katz
- Clalit Research Institute, Clalit Health Services, Ramat Gan, Israel; Ben Gurion University of the Negev, Beersheba, Israel; University of Michigan School of Public Health, Ann Arbor, MI, United States
| | | | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | | | | | - Deshayne B Fell
- ICES, Toronto, Ontario, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada; Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
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18
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Wang X, Li Y, O'Brien KL, Madhi SA, Widdowson MA, Byass P, Omer SB, Abbas Q, Ali A, Amu A, Azziz-Baumgartner E, Bassat Q, Abdullah Brooks W, Chaves SS, Chung A, Cohen C, Echavarria M, Fasce RA, Gentile A, Gordon A, Groome M, Heikkinen T, Hirve S, Jara JH, Katz MA, Khuri-Bulos N, Krishnan A, de Leon O, Lucero MG, McCracken JP, Mira-Iglesias A, Moïsi JC, Munywoki PK, Ourohiré M, Polack FP, Rahi M, Rasmussen ZA, Rath BA, Saha SK, Simões EA, Sotomayor V, Thamthitiwat S, Treurnicht FK, Wamukoya M, Yoshida LM, Zar HJ, Campbell H, Nair H. Global burden of respiratory infections associated with seasonal influenza in children under 5 years in 2018: a systematic review and modelling study. Lancet Glob Health 2020; 8:e497-e510. [PMID: 32087815 PMCID: PMC7083228 DOI: 10.1016/s2214-109x(19)30545-5] [Citation(s) in RCA: 199] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 12/05/2019] [Accepted: 12/13/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Seasonal influenza virus is a common cause of acute lower respiratory infection (ALRI) in young children. In 2008, we estimated that 20 million influenza-virus-associated ALRI and 1 million influenza-virus-associated severe ALRI occurred in children under 5 years globally. Despite this substantial burden, only a few low-income and middle-income countries have adopted routine influenza vaccination policies for children and, where present, these have achieved only low or unknown levels of vaccine uptake. Moreover, the influenza burden might have changed due to the emergence and circulation of influenza A/H1N1pdm09. We aimed to incorporate new data to update estimates of the global number of cases, hospital admissions, and mortality from influenza-virus-associated respiratory infections in children under 5 years in 2018. METHODS We estimated the regional and global burden of influenza-associated respiratory infections in children under 5 years from a systematic review of 100 studies published between Jan 1, 1995, and Dec 31, 2018, and a further 57 high-quality unpublished studies. We adapted the Newcastle-Ottawa Scale to assess the risk of bias. We estimated incidence and hospitalisation rates of influenza-virus-associated respiratory infections by severity, case ascertainment, region, and age. We estimated in-hospital deaths from influenza virus ALRI by combining hospital admissions and in-hospital case-fatality ratios of influenza virus ALRI. We estimated the upper bound of influenza virus-associated ALRI deaths based on the number of in-hospital deaths, US paediatric influenza-associated death data, and population-based childhood all-cause pneumonia mortality data in six sites in low-income and lower-middle-income countries. FINDINGS In 2018, among children under 5 years globally, there were an estimated 109·5 million influenza virus episodes (uncertainty range [UR] 63·1-190·6), 10·1 million influenza-virus-associated ALRI cases (6·8-15·1); 870 000 influenza-virus-associated ALRI hospital admissions (543 000-1 415 000), 15 300 in-hospital deaths (5800-43 800), and up to 34 800 (13 200-97 200) overall influenza-virus-associated ALRI deaths. Influenza virus accounted for 7% of ALRI cases, 5% of ALRI hospital admissions, and 4% of ALRI deaths in children under 5 years. About 23% of the hospital admissions and 36% of the in-hospital deaths were in infants under 6 months. About 82% of the in-hospital deaths occurred in low-income and lower-middle-income countries. INTERPRETATION A large proportion of the influenza-associated burden occurs among young infants and in low-income and lower middle-income countries. Our findings provide new and important evidence for maternal and paediatric influenza immunisation, and should inform future immunisation policy particularly in low-income and middle-income countries. FUNDING WHO; Bill & Melinda Gates Foundation.
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Affiliation(s)
- Xin Wang
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - You Li
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Katherine L O'Brien
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shabir A Madhi
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit; Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Marc-Alain Widdowson
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Nairobi, Kenya; Institute of Tropical Medicine, Antwerp, Belgium
| | - Peter Byass
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Saad B Omer
- Yale Institute for Global Health; Section of Infectious Diseases, Department of Medicine, Yale School of Medicine; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Qalab Abbas
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Asad Ali
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Alberta Amu
- Dodowa Health Research Centre, Dodowa, Ghana
| | | | - Quique Bassat
- Barcelona Global Health Institute, Hospital Clínic-University of Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain; Pediatric Infectious Diseases Unit, Pediatrics Department, Hospital Sant Joan de Déu (University of Barcelona), Barcelona, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública, Madrid, Spain
| | - W Abdullah Brooks
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sandra S Chaves
- Influenza Program, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Alexandria Chung
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Cheryl Cohen
- Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Marcela Echavarria
- Clinical Virology Unit, Centro de Educación Médica e Investigaciones Clínicas, Argentina
| | - Rodrigo A Fasce
- Public Health Institute of Chile, Región Metropolitana, Chile
| | - Angela Gentile
- Ricardo Gutierrez Children Hospital, Buenos Aires, Argentina
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Michelle Groome
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit; Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Terho Heikkinen
- Department of Pediatrics, University of Turku and Turku University Hospital, Finland
| | - Siddhivinayak Hirve
- Vadu Rural Health program, KEM Hospital Research Centre, Pune, Maharashtra, India
| | - Jorge H Jara
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Mark A Katz
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel; Ben Gurion University of the Negev, School of Public Health and Medical School for International Health, Beer-Sheva, Israel; University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Najwa Khuri-Bulos
- Department of Pediatrics, University of Jordan School of Medicine, Amman, Jordan
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Oscar de Leon
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Marilla G Lucero
- ARI Study Group, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - John P McCracken
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Ainara Mira-Iglesias
- Área de Investigación en Vacunas, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (Salud Pública), Valencia, Spain
| | | | | | | | | | - Manveer Rahi
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Zeba A Rasmussen
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | | | - Samir K Saha
- Department of Microbiology, Child Health Research Foundation, Dhaka, Bangladesh
| | - Eric Af Simões
- Department of Pediatrics, Section of Infectious Diseases, University of Colorado, School of Medicine, Aurora, CO, USA; Department of Epidemiology and Center for Global Health, Colorado School of Public Health, Aurora CO, USA
| | | | - Somsak Thamthitiwat
- Division of Global Health Protection, Thailand Ministry of Public Health; US CDC Collaboration, Nonthaburi, Thailand
| | - Florette K Treurnicht
- Department of Medical Virology, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Lay-Myint Yoshida
- Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Heather J Zar
- Department of Paediatrics & Child Health and Medical Research Council unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Harry Campbell
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Harish Nair
- Centre for Global Health, Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
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19
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Yaron-Yakoby H, Sefty H, Pando R, Dichtiar R, Katz MA, Stein Y, Mandelboim M, Mendelson E, Shohat T, Glatman-Freedman A. Effectiveness of influenza vaccine in preventing medically-attended influenza virus infection in primary care, Israel, influenza seasons 2014/15 and 2015/16. ACTA ACUST UNITED AC 2019; 23. [PMID: 29471622 PMCID: PMC5824129 DOI: 10.2807/1560-7917.es.2018.23.7.17-00026] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Influenza vaccine is recommended for the entire population in Israel. We assessed influenza vaccine effectiveness (VE) for the 2014/15 and 2015/16 seasons in Israel, for the first time. Methods: Combined nose and throat swab specimens were collected from patients with influenza-like illness (ILI) presenting to sentinel primary care clinics and tested for influenza virus by RT-PCR. VE of the trivalent inactivated vaccine (TIV) was assessed using test-negative case–control design. Results: During the 2014/15 season 1,142 samples were collected; 327 (28.6%) were positive for influenza, 83.8% A(H3N2), 5.8% A(H1N1)pdm09, 9.2% B and 1.2% A un-subtyped. Adjusted VE against all influenza viruses for this influenza season was −4.8% (95% confidence interval (CI): −54.8 to 29.0) and against influenza A(H3N2), it was −15.8% (95% CI: −72.8 to 22.4). For the 2015/16 season, 1,919 samples were collected; 853 (44.4%) were positive for influenza, 43.5% A(H1N1)pdm09, 57% B, 0.7% A(H3N2) and 11 samples positive for both A(H1N1)pdm09 and B. Adjusted VE against all influenza viruses for this influenza season was 8.8% (95% CI: −25.1 to 33.5), against influenza A(H1N1)pdm09, it was 32.3% (95% CI: (−4.3 to 56.1) and against influenza B, it was −2.2% (95% CI: (−47.0 to 29.0). Conclusions: Using samples from patients with ILI visiting sentinel clinics in Israel, we demonstrated the feasibility of influenza VE estimation in Israel.
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Affiliation(s)
- Hamutal Yaron-Yakoby
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Hanna Sefty
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Rakefet Pando
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Rita Dichtiar
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Mark A Katz
- School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.,Ben Gurion University, Beer Sheva, Israel
| | - Yaniv Stein
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Michal Mandelboim
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Ella Mendelson
- Central Virology Laboratory, Israel Ministry of Health, Chaim Sheba Medical Center, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Tamy Shohat
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
| | - Aharona Glatman-Freedman
- Departments of Pediatrics and Family and Community Medicine, New York Medical College, Valhalla, New York, United States.,Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine Tel Aviv University, Tel Aviv, Israel
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- The members of the group are listed at the end of the paper
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20
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Thompson MG, Jackson ML, Regan A, Katz MA, Kwong JC, Ball SW, Simmonds K, Klein NP, Naleway A. Reply to Skowronski, De Serres, and Orenstein. Clin Infect Dis 2019; 69:1085-1086. [DOI: 10.1093/cid/ciz115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Annette Regan
- School of Public Health, Curtin University, Perth, Australia
| | - Mark A Katz
- Chief Physician’s Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Jeffrey C Kwong
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | | | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland
| | - Allison Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
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21
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Naleway AL, Ball S, Kwong JC, Wyant BE, Katz MA, Regan AK, Russell ML, Klein NP, Chung H, Simmonds KA, Azziz-Baumgartner E, Feldman BS, Levy A, Fell DB, Drews SJ, Garg S, Effler P, Barda N, Irving SA, Shifflett P, Jackson ML, Thompson MG. Estimating Vaccine Effectiveness Against Hospitalized Influenza During Pregnancy: Multicountry Protocol for a Retrospective Cohort Study. JMIR Res Protoc 2019; 8:e11333. [PMID: 30664495 PMCID: PMC6360380 DOI: 10.2196/11333] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 09/27/2018] [Accepted: 09/28/2018] [Indexed: 01/19/2023] Open
Abstract
Background Although pregnant women are believed to have elevated risks of severe influenza infection and are targeted for influenza vaccination, no study to date has examined influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza-associated hospitalizations during pregnancy, primarily because this outcome poses many methodological challenges. Objective The Pregnancy Influenza Vaccine Effectiveness Network (PREVENT) was formed in 2016 as an international collaboration with the Centers for Disease Control and Prevention; Abt Associates; and study sites in Australia, Canada, Israel, and the United States. The primary goal of this collaboration is to estimate IVE in preventing acute respiratory or febrile illness (ARFI) hospitalizations associated with laboratory-confirmed influenza virus infection during pregnancy. Secondary aims include (1) describing the incidence, clinical course, and severity of influenza-associated ARFI hospitalization during pregnancy; (2) comparing the characteristics of ARFI-hospitalized pregnant women who were tested for influenza with those who were not tested; (3) describing influenza vaccination coverage in pregnant women; and (4) comparing birth outcomes among women with laboratory-confirmed influenza-associated hospitalization versus other noninfluenza ARFI hospitalizations. Methods For an initial assessment of IVE, sites identified a retrospective cohort of pregnant women aged from 18 to 50 years whose pregnancies overlapped with local influenza seasons from 2010 to 2016. Pregnancies were defined as those that ended in a live birth or stillbirth of at least 20 weeks gestation. The analytic sample for the primary IVE analysis was restricted to pregnant women who were hospitalized for ARFI during site-specific influenza seasons and clinically tested for influenza virus infection using real-time reverse transcription polymerase chain reaction. Results We identified approximately 2 million women whose pregnancies overlapped with influenza seasons; 550,344 had at least one hospitalization during this time. After restricting to women who were hospitalized for ARFI and tested for influenza, the IVE analytic sample included 1005 women. Conclusions In addition to addressing the primary question about the effectiveness of influenza vaccination, PREVENT data will address other important knowledge gaps including understanding the incidence, clinical course, and severity of influenza-related hospitalizations during pregnancy. The data infrastructure and international partnerships created for these analyses may be useful and informative for future influenza studies. International Registered Report Identifier (IRRID) DERR1-10.2196/11333
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Affiliation(s)
- Allison L Naleway
- Kaiser Permanente Northwest, Center for Health Research, Portland, OR, United States
| | - Sarah Ball
- Abt Associates, Inc, Cambridge, MA, United States
| | | | | | - Mark A Katz
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Annette K Regan
- School of Public Health, Curtin University, Perth, Australia
| | | | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Oakland, CA, United States
| | | | | | | | - Becca S Feldman
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Avram Levy
- PathWest Laboratory Medicine Western Australia, Perth, Australia
| | - Deshayne B Fell
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Steven J Drews
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Paul Effler
- Western Australia Department of Health, Perth, Australia
| | - Noam Barda
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Stephanie A Irving
- Kaiser Permanente Northwest, Center for Health Research, Portland, OR, United States
| | | | - Michael L Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States
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22
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Moran EB, Katz MA, Ari OB, Davidovitch N, Zwang O. For What Illnesses Do Asylum Seekers and Undocumented Migrant Workers in Israel Seek Healthcare? An Analysis of Medical Visits at a Large Urgent Care Clinic for the Uninsured in Tel Aviv. Int J Environ Res Public Health 2019; 16:ijerph16020252. [PMID: 30654588 PMCID: PMC6352240 DOI: 10.3390/ijerph16020252] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/10/2019] [Accepted: 01/13/2019] [Indexed: 11/16/2022]
Abstract
In 2017, there were nearly 80,000 asylum seekers and undocumented migrant workers in Israel, most of whom did not have health insurance. We evaluated trends in medical visits of asylum seekers and undocumented migrant workers who presented to Terem Refugee Clinic (TRC), a large clinic in Tel Aviv available only to uninsured residents of Israel. Data were collected from electronic medical records at TRC from 2013⁻2017. Diagnoses were grouped into categories using ICD-10-equivalent diagnosis codes. We used a chi-squared test for trends to test the significance of trends 2013 to 2017. There were 99,569 medical visits from 2013 to 2017 at TRC. Visits were lowest in 2013 (11,112), and relatively stable from 2014⁻2017 (range: 19,712⁻23,172). Most visits were among adults aged 18⁻35 (41.2%) and children <2 years old (23.7%). Only 3% of visits were from patients aged >50. The percentage of infectious disease diagnoses decreased over the study period, from 9.4% of all diagnoses in adults in 2014 to 5.2% in 2017, and from 32.0% of all diagnoses in children in 2013 to 19.4% in 2017. The annual percentage of respiratory diagnoses in children and adults 18⁻35 years of age, musculoskeletal in all adults, and digestive in adults except women ≥35 years old increased. Over time, asylum seekers and undocumented migrant workers visited TRC with fewer infectious diseases diagnoses overall but more respiratory diseases, including acute respiratory infections and more musculoskeletal diseases.
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Affiliation(s)
- Elizabeth B Moran
- University of Michigan, School of Public Health, 48104, Ann Arbor, MI, USA.
| | - Mark A Katz
- University of Michigan, School of Public Health, 48104, Ann Arbor, MI, USA.
- Terem Urgen Care, 91000, Jerusalem, Israel.
- Ben Gurion University of the Negev, School of Public Health, 84102, Beer-Sheva, Israel.
| | | | - Nadav Davidovitch
- Ben Gurion University of the Negev, School of Public Health, 84102, Beer-Sheva, Israel.
| | - Oren Zwang
- Terem Urgen Care, 91000, Jerusalem, Israel.
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23
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Regan AK, Klein NP, Langley G, Drews SJ, Buchan S, Ball S, Kwong JC, Naleway A, Thompson M, Wyant BE, Levy A, Chung H, Feldman B, Katz MA. Respiratory Syncytial Virus Hospitalization During Pregnancy in 4 High-income Countries, 2010-2016. Clin Infect Dis 2018; 67:1915-1918. [PMID: 29800089 PMCID: PMC10942250 DOI: 10.1093/cid/ciy439] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 05/17/2018] [Indexed: 11/14/2022] Open
Abstract
Few studies have addressed respiratory syncytial virus (RSV) infection during pregnancy. Among 846 pregnant women hospitalized with respiratory illness and tested for RSV, 21 (2%) were RSV positive, of whom 8 (38%) were diagnosed with pneumonia. Despite study limitations, these data can help inform decisions about RSV prevention strategies.
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Affiliation(s)
- Annette K Regan
- School of Public Health, Curtin University, Perth, Western Australia, Australia
- Wesfarmers Centre of Infectious Diseases and Vaccines, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland
| | - Gayle Langley
- Centers for Disease Control and Prevention, National Center for Immunizations and Respiratory Diseases, Atlanta, Georgia
| | - Steven J Drews
- Diagnostic Virology, ProvLab Alberta, Alberta Health Services, Edmonton
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton
| | - Sarah Buchan
- Institute for Clinical Evaluative Sciences, University of Toronto, Ontario, Canada
- Public Health Ontario, University of Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Sarah Ball
- Abt Associates, Cambridge, Massachusetts
| | - Jeffrey C Kwong
- Institute for Clinical Evaluative Sciences, University of Toronto, Ontario, Canada
- Public Health Ontario, University of Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
- Department of Family & Community Medicine, University of Toronto
- University Health Network, Toronto, Ontario, Canada
| | | | - Mark Thompson
- Centers for Disease Control and Prevention, National Center for Immunizations and Respiratory Diseases, Atlanta, Georgia
| | | | - Avram Levy
- PathWest Laboratory Medicine WA, Department of Health Western Australia
- Pathology and Laboratory Medicine, University of Western Australia, Perth, Australia
| | - Hannah Chung
- Institute for Clinical Evaluative Sciences, University of Toronto, Ontario, Canada
| | - Becca Feldman
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv
| | - Mark A Katz
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv
- School of Public Health, Medical School for International Health, Ben Gurion University, Bersheva, Israel
- University of Michigan School of Public Health, Ann Arbor
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24
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Hirsch A, Katz MA, Laufer Peretz A, Greenberg D, Wendlandt R, Shemer Avni Y, Newes-Adeyi G, Gofer I, Leventer-Roberts M, Davidovitch N, Rosenthal A, Gur-Arie R, Hertz T, Glatman-Freedman A, Monto AS, Azziz-Baumgartner E, Ferdinands JM, Martin ET, Malosh RE, Neyra Quijandría JM, Levine M, Campbell W, Balicer R, Thompson MG. Study of Healthcare Personnel with Influenza and other Respiratory Viruses in Israel (SHIRI): study protocol. BMC Infect Dis 2018; 18:550. [PMID: 30400834 PMCID: PMC6220521 DOI: 10.1186/s12879-018-3444-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 10/16/2018] [Indexed: 01/04/2023] Open
Abstract
Background The Study of Healthcare Personnel with Influenza and other Respiratory Viruses in Israel (SHIRI) prospectively follows a cohort of healthcare personnel (HCP) in two hospitals in Israel. SHIRI will describe the frequency of influenza virus infections among HCP, identify predictors of vaccine acceptance, examine how repeated influenza vaccination may modify immunogenicity, and evaluate influenza vaccine effectiveness in preventing influenza illness and missed work. Methods Cohort enrollment began in October, 2016; a second year of the study and a second wave of cohort enrollment began in June 2017. The study will run for at least 3 years and will follow approximately 2000 HCP (who are both employees and members of Clalit Health Services [CHS]) with routine direct patient contact. Eligible HCP are recruited using a stratified sampling strategy. After informed consent, participants complete a brief enrollment survey with questions about occupational responsibilities and knowledge, attitudes, and practices about influenza vaccines. Blood samples are collected at enrollment and at the end of influenza season; HCP who choose to be vaccinated contribute additional blood one month after vaccination. During the influenza season, participants receive twice-weekly short message service (SMS) messages asking them if they have acute respiratory illness or febrile illness (ARFI) symptoms. Ill participants receive follow-up SMS messages to confirm illness symptoms and duration and are asked to self-collect a nasal swab. Information on socio-economic characteristics, current and past medical conditions, medical care utilization and vaccination history is extracted from the CHS database. Information about missed work due to illness is obtained by self-report and from employee records. Respiratory specimens from self-collected nasal swabs are tested for influenza A and B viruses, respiratory syncytial virus, human metapneumovirus, and coronaviruses using validated multiplex quantitative real-time reverse transcription polymerase chain reaction assays. The hemagglutination inhibition assay will be used to detect the presence of neutralizing influenza antibodies in serum. Discussion SHIRI will expand our knowledge of the burden of respiratory viral infections among HCP and the effectiveness of current and repeated annual influenza vaccination in preventing influenza illness, medical utilization, and missed workdays among HCP who are in direct contact with patients. Trial registration NCT03331991. Registered on November 6, 2017. Electronic supplementary material The online version of this article (10.1186/s12879-018-3444-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Avital Hirsch
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel.
| | - Mark A Katz
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel.,School of Public Health, Medical School for International Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.,Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alon Laufer Peretz
- Rabin Medical Center, Occupational Medicine Department, Petah Tikva, Israel
| | - David Greenberg
- Pediatric Infectious Disease Unit, Soroka University Medical Center, Beer Sheva, Israel
| | | | - Yonat Shemer Avni
- Clinical Virology, Soroka University Medical Center, Ben Gurion University of the Negev, Beer Sheva, Israel
| | | | - Ilan Gofer
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Maya Leventer-Roberts
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Nadav Davidovitch
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Anat Rosenthal
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Rachel Gur-Arie
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Tomer Hertz
- Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.,Vaccine and Infectious Disease Division, Fred Hutch Cancer Research Center, Seattle, WA, USA
| | - Aharona Glatman-Freedman
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel.,Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Emily Toth Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Ryan E Malosh
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Min Levine
- Influenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | | | - Ran Balicer
- Chief Physician's Office, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
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25
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Fitzner J, Qasmieh S, Mounts AW, Alexander B, Besselaar T, Briand S, Brown C, Clark S, Dueger E, Gross D, Hauge S, Hirve S, Jorgensen P, Katz MA, Mafi A, Malik M, McCarron M, Meerhoff T, Mori Y, Mott J, Olivera MTDC, Ortiz JR, Palekar R, Rebelo-de-Andrade H, Soetens L, Yahaya AA, Zhang W, Vandemaele K. Revision of clinical case definitions: influenza-like illness and severe acute respiratory infection. Bull World Health Organ 2017; 96:122-128. [PMID: 29403115 PMCID: PMC5791775 DOI: 10.2471/blt.17.194514] [Citation(s) in RCA: 171] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 10/30/2017] [Accepted: 10/30/2017] [Indexed: 12/24/2022] Open
Abstract
The formulation of accurate clinical case definitions is an integral part of an effective process of public health surveillance. Although such definitions should, ideally, be based on a standardized and fixed collection of defining criteria, they often require revision to reflect new knowledge of the condition involved and improvements in diagnostic testing. Optimal case definitions also need to have a balance of sensitivity and specificity that reflects their intended use. After the 2009-2010 H1N1 influenza pandemic, the World Health Organization (WHO) initiated a technical consultation on global influenza surveillance. This prompted improvements in the sensitivity and specificity of the case definition for influenza - i.e. a respiratory disease that lacks uniquely defining symptomology. The revision process not only modified the definition of influenza-like illness, to include a simplified list of the criteria shown to be most predictive of influenza infection, but also clarified the language used for the definition, to enhance interpretability. To capture severe cases of influenza that required hospitalization, a new case definition was also developed for severe acute respiratory infection in all age groups. The new definitions have been found to capture more cases without compromising specificity. Despite the challenge still posed in the clinical separation of influenza from other respiratory infections, the global use of the new WHO case definitions should help determine global trends in the characteristics and transmission of influenza viruses and the associated disease burden.
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Affiliation(s)
- Julia Fitzner
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Saba Qasmieh
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Anthony Wayne Mounts
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Burmaa Alexander
- National Centre for Communicable Diseases, Ulaanbataar, Mongolia
| | - Terry Besselaar
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Sylvie Briand
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Caroline Brown
- Regional Office for Europe, World Health Organization, Copenhagen, Denmark
| | - Seth Clark
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Erica Dueger
- Western Pacific Regional Office, World Health Organization, Manila, Philippines
| | - Diane Gross
- Regional Office for Europe, World Health Organization, Copenhagen, Denmark
| | - Siri Hauge
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Siddhivinayak Hirve
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Pernille Jorgensen
- Regional Office for Europe, World Health Organization, Copenhagen, Denmark
| | - Mark A Katz
- Centers for Disease Control and Prevention, Atlanta, United States of America (USA)
| | - Ali Mafi
- Eastern Mediterranean Regional Office, World Health Organization, Cairo, Egypt
| | - Mamunur Malik
- Eastern Mediterranean Regional Office, World Health Organization, Cairo, Egypt
| | - Margaret McCarron
- Centers for Disease Control and Prevention, Atlanta, United States of America (USA)
| | - Tamara Meerhoff
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, Netherlands
| | - Yuichiro Mori
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Joshua Mott
- United States Centers for Disease Control and Prevention Kenya Office, Nairobi, Kenya
| | | | - Justin R Ortiz
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Rakhee Palekar
- Pan American Health Organization, World Health Organization, Washington, USA
| | | | - Loes Soetens
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Ali Ahmed Yahaya
- Regional Office for Africa, World Health Organization, Brazzaville, Congo
| | - Wenqing Zhang
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
| | - Katelijn Vandemaele
- Infectious Hazard Management, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland
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26
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Tohme RA, Francois J, Cavallaro KF, Paluku G, Yalcouye I, Jackson E, Wright T, Adrien P, Katz MA, Hyde TB, Faye P, Kimanuka F, Dietz V, Vertefeuille J, Lowrance D, Dahl B, Patel R. Expansion of Vaccination Services and Strengthening Vaccine-Preventable Diseases Surveillance in Haiti, 2010-2016. Am J Trop Med Hyg 2017; 97:28-36. [PMID: 29064356 PMCID: PMC5676636 DOI: 10.4269/ajtmh.16-0802] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Following the 2010 earthquake, Haiti was at heightened risk for vaccine-preventable diseases (VPDs) outbreaks due to the exacerbation of long-standing gaps in the vaccination program and subsequent risk of VPD importation from other countries. Therefore, partners supported the Haitian Ministry of Health and Population to improve vaccination services and VPD surveillance. During 2010–2016, three polio, measles, and rubella vaccination campaigns were implemented, achieving a coverage > 90% among children and maintaining Haiti free of those VPDs. Furthermore, Haiti is on course to eliminate maternal and neonatal tetanus, with 70% of communes achieving tetanus vaccine two-dose coverage > 80% among women of childbearing age. In addition, the vaccine cold chain storage capacity increased by 91% at the central level and 285% at the department level, enabling the introduction of three new vaccines (pentavalent, rotavirus, and pneumococcal conjugate vaccines) that could prevent an estimated 5,227 deaths annually. Haiti moved from the fourth worst performing country in the Americas in 2012 to the sixth best performing country in 2015 for adequate investigation of suspected measles/rubella cases. Sentinel surveillance sites for rotavirus diarrhea and meningococcal meningitis were established to estimate baseline rates of those diseases prior to vaccine introduction and to evaluate the impact of vaccination in the future. In conclusion, Haiti significantly improved vaccination services and VPD surveillance. However, high dependence on external funding and competing vaccination program priorities are potential threats to sustaining the improvements achieved thus far. Political commitment and favorable economic and legal environments are needed to maintain these gains.
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Affiliation(s)
- Rania A Tohme
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeannot Francois
- Direction du Program Elargi de Vaccination (DPEV), Ministry of Public Health and Population, Port-au-Prince, Haiti
| | - Kathleen F Cavallaro
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Gilson Paluku
- Pan American Health Organization, Port-au-Prince, Haiti
| | | | | | - Tracie Wright
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Paul Adrien
- Direction d'Épidémiologie, de Laboratoire et de Recherche (DELR), Ministry of Public Health and Population, Port-au-Prince, Haiti
| | - Mark A Katz
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Terri B Hyde
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Pape Faye
- Pan American Health Organization, Port-au-Prince, Haiti
| | | | - Vance Dietz
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - John Vertefeuille
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - David Lowrance
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Benjamin Dahl
- Global Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Roopal Patel
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
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Routh JA, Sreenivasan N, Adhikari BB, Andrecy LL, Bernateau M, Abimbola T, Njau J, Jackson E, Juin S, Francois J, Tohme RA, Meltzer MI, Katz MA, Mintz ED. Cost Evaluation of a Government-Conducted Oral Cholera Vaccination Campaign-Haiti, 2013. Am J Trop Med Hyg 2017; 97:37-42. [PMID: 29064362 PMCID: PMC5676633 DOI: 10.4269/ajtmh.16-1023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The devastating 2010 cholera epidemic in Haiti prompted the government to introduce oral cholera vaccine (OCV) in two high-risk areas of Haiti. We evaluated the direct costs associated with the government's first vaccine campaign implemented in August-September 2013. We analyzed data for major cost categories and assessed the efficiency of available campaign resources to vaccinate the target population. For a target population of 107,906 persons, campaign costs totaled $624,000 and 215,295 OCV doses were dispensed. The total vaccine and operational cost was $2.90 per dose; vaccine alone cost $1.85 per dose, vaccine delivery and administration $0.70 per dose, and vaccine storage and transport $0.35 per dose. Resources were greater than needed-our analyses suggested that approximately 2.5-6 times as many persons could have been vaccinated during this campaign without increasing the resources allocated for vaccine delivery and administration. These results can inform future OCV campaigns in Haiti.
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Affiliation(s)
- Janell A Routh
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia
| | - Nandini Sreenivasan
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia
| | - Bishwa B Adhikari
- Division of Preparedness and Emerging Infections, National Center for Emerging Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lesly L Andrecy
- Field Epidemiology Training Program, Direction d'Epidémiologie de Laboratoire et de Recherches (DELR), Ministère de la Santé Publique et de la Population (MSPP), Port-au-Prince, Haiti
| | - Margarette Bernateau
- Field Epidemiology Training Program, Direction d'Epidémiologie de Laboratoire et de Recherches (DELR), Ministère de la Santé Publique et de la Population (MSPP), Port-au-Prince, Haiti
| | - Taiwo Abimbola
- Global Immunizations Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joseph Njau
- Global Immunizations Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Stanley Juin
- US Centers for Disease Control and Prevention, US Embassy, Port-au-Prince, Haiti
| | - Jeannot Francois
- Directeur du Programme Elargi de Vaccination (DPEV), MSPP, Ave Maïs Gaté, Port-au-Prince, Haiti
| | - Rania A Tohme
- Global Immunizations Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Martin I Meltzer
- Division of Preparedness and Emerging Infections, National Center for Emerging Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mark A Katz
- US Centers for Disease Control and Prevention, US Embassy, Port-au-Prince, Haiti
| | - Eric D Mintz
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia
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Abstract
OBJECTIVES The aim of this systematic review was to assess incidence rates of laboratory-confirmed influenza (LCI) outcomes among infants under 6 months of age. DESIGN Systematic literature search and review of indexed studies in PubMed, EMBASE, the Cochrane Library and CINAHL Plus from inception to 19 April 2017. SETTING Population-based estimates from community or hospital settings. PARTICIPANTS Infants under 6 months of age. PRIMARY AND SECONDARY OUTCOME MEASURES LCI illness in ambulatory care settings, LCI hospitalisation, LCI intensive care unit admission and LCI death. Only studies with population-based incidence data were included. RESULTS We identified 27 primary studies, 11 of which were from the USA, four were from other non-US high-income settings and the remaining were from lower-middle-income or upper-middle-income countries. Most studies (n=23) assessed incidence of LCI hospitalisation, but meta-analysis to pool study-specific rates was not possible due to high statistical and methodological heterogeneity. Among US studies, the reported incidence of LCI hospitalisation ranged from 9.3 to 91.2 per 10 000 infants under 6 months for seasonal influenza, while the only US-based estimate for pandemic H1N1 influenza was 20.2 per 10 000 infants. Reported rates for LCI hospitalisation for seasonal influenza from other countries ranged from 6.2 to 73.0 per 10 000 infants under 6 months, with the exception of one study with an estimated rate of 250 per 10 000 infants. No events were reported in five of the nine studies that evaluated LCI death among infants under 6 months. CONCLUSION Our review of published studies found limited data on LCI outcomes for infants under 6 months, particularly from non-US settings. Globally representative and reliable incidence data are necessary to fully evaluate influenza disease burden and the potential impact of maternal influenza immunisation programme on morbidity and mortality in young infants.
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Affiliation(s)
- Deshayne B Fell
- University of Ottawa and Children’s Hospital of Eastern Ontario (CHEO) Research Institute, Ottawa, Ontario, Canada
| | - Jeanene Johnson
- Independent Epidemiology Consultant, Los Gatos, California, USA
| | - Zohar Mor
- Tel Aviv Department of Health, Ministry of Health, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mark A Katz
- Medical School for International Health and Department of Health Systems Management, Ben Gurion University in the Negev, Beersheba, Israel
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | - Kathleen M Neuzil
- Department of Medicine, Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Justin R Ortiz
- Initiative for Vaccine Research, WHO, Geneva, Switzerland
| | - Niranjan Bhat
- Center for Vaccine Innovation and Access, PATH, Seattle, Washington, USA
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Katz MA, Gessner BD, Johnson J, Skidmore B, Knight M, Bhat N, Marshall H, Horne DJ, Ortiz JR, Fell DB. Erratum to: Incidence of influenza virus infection among pregnant women: a systematic review. BMC Pregnancy Childbirth 2017. [PMID: 28629336 PMCID: PMC5474848 DOI: 10.1186/s12884-017-1387-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Mark A Katz
- Department of Health Systems Management, Medical School for International Health, Ben Gurion University of the Negev, Beer Sheva, Israel. .,University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Bradford D Gessner
- Agence de Médecine Préventive, Paris, France.,Agence de Médecine Préventive, Anchorage, AK, USA
| | | | | | - Marian Knight
- National Perinatal Epidemiology Unit (NPEU), University of Oxford, Oxford, UK
| | - Niranjan Bhat
- Vaccine Access and Delivery Program, PATH, Seattle, WA, USA
| | - Helen Marshall
- Vaccinology and Immunology Research Trials Unit, Discipline of Paediatrics, Women's and Children's Hospital and University of Adelaide, Adelaide, Australia.,Robinson Research Institute, University of Adelaide, North Adelaide, Australia
| | - David J Horne
- Department of Medicine, University of Washington, Seattle, USA.,Harborview Medical Center, University of Washington, Seattle, WA, USA
| | - Justin R Ortiz
- Initiative for Vaccine Research, World Health Organization, Geneva, Switzerland
| | - Deshayne B Fell
- Better Outcomes Registry & Network (BORN), CHEO Research Institute, Ottawa, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
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Katz MA, Gessner BD, Johnson J, Skidmore B, Knight M, Bhat N, Marshall H, Horne DJ, Ortiz JR, Fell DB. Incidence of influenza virus infection among pregnant women: a systematic review. BMC Pregnancy Childbirth 2017; 17:155. [PMID: 28558777 PMCID: PMC5450114 DOI: 10.1186/s12884-017-1333-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 05/18/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The World Health Organization (WHO) considers pregnant women to be a risk group for severe influenza disease. We conducted a systematic review to evaluate influenza disease incidence in pregnant women in order to inform estimates of influenza vaccine impact for low-resource countries. METHODS We performed electronic literature searches, targeting studies on the following outcomes in pregnant women: attack rate, hospitalization rate, intensive care unit admission rate, mortality rate, and disability-adjusted life years lost. Only original studies published in peer-reviewed journals that had laboratory confirmation for influenza virus infection and included population-based incidence rates with denominator data were included. We summarized study characteristics in descriptive tables and outcome-specific Forest plots. We generated summary incidence rates using random effects models and assessed statistical heterogeneity by visual examination of Forest plots, and by χ 2 and I2 tests. RESULTS We identified 1543 articles, of which nine articles met the study inclusion criteria. Five were case series, three were cohort studies, and one was a randomized controlled trial. Eight studies were from high-income countries, and one was from an upper middle-income country. Six studies reported results for pandemic influenza, and three reported seasonal influenza. Statistical heterogeneity was high for all outcomes, and methodologies and duration of surveillance varied considerably among studies; therefore, we did not perform meta-analyses. CONCLUSIONS Study quality was very low according to GRADE criteria. More data on influenza disease incidence in pregnant women, particularly in low- and middle-income countries and for seasonal influenza disease, are needed to inform public health decision-making.
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Affiliation(s)
- Mark A. Katz
- Department of Health Systems Management, Medical School for International Health, Ben Gurion University of the Negev, Beer Sheva, Israel
- University of Michigan School of Public Health, Ann Arbor, MI USA
| | - Bradford D. Gessner
- Agence de Médecine Préventive, Paris, France
- Agence de Médecine Préventive, Anchorage, AK USA
| | | | | | - Marian Knight
- National Perinatal Epidemiology Unit (NPEU), University of Oxford, Oxford, United Kingdom
| | - Niranjan Bhat
- Vaccine Access and Delivery Program, PATH, Seattle, WA USA
| | - Helen Marshall
- Vaccinology and Immunology Research Trials Unit, Discipline of Paediatrics, Women’s and Children’s Hospital and University of Adelaide, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, North Adelaide, Australia
| | - David J. Horne
- Department of Medicine, University of Washington, Seattle, USA
- Harborview Medical Center, University of Washington, Seattle, WA USA
| | - Justin R. Ortiz
- Initiative for Vaccine Research, World Health Organization, Geneva, Switzerland
| | - Deshayne B. Fell
- Better Outcomes Registry & Network (BORN), CHEO Research Institute, Ottawa, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
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Katz MA, Marangu D, Attia EF, Bauwens J, Bont LJ, Bulatovic A, Crane J, Doroshenko A, Ebruke BE, Edwards KM, Fortuna L, Jagelaviciene A, Joshi J, Kemp J, Kovacs S, Lambach P, Lewis KDC, Ortiz JR, Simões EAF, Turner P, Tagbo BN, Vaishnavi V, Bonhoeffer J. Acute wheeze in the pediatric population: Case definition & guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine 2017; 37:392-399. [PMID: 28483201 DOI: 10.1016/j.vaccine.2017.01.083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 01/18/2017] [Indexed: 10/19/2022]
Affiliation(s)
- Mark A Katz
- Ben Gurion University of the Negev, Bersheva, Israel; University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | | | - Louis J Bont
- Wilhelmina Children's Hospital/University Medical Center Utrecht, Netherlands
| | | | | | | | | | | | | | | | - Jyoti Joshi
- Ministry of Health and Family Welfare, New Delhi, India; Public Health Foundation of India, New Delhi, India
| | - James Kemp
- University of California School of Medicine, San Diego, USA
| | | | | | | | | | - Eric A F Simões
- University of Colorado School of Medicine, Denver, USA; Colorado School of Public Health, Aurora, USA; Children's Hospital Colorado, Aurora, USA
| | - Paul Turner
- Imperial College London, UK; Public Health England, Colindale, UK
| | | | | | - Jan Bonhoeffer
- Brighton Collaboration Foundation, Basel, Switzerland; University of Basel Children's Hospital, Basel, Switzerland.
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32
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Fell DB, Savitz DA, Kramer MS, Gessner BD, Katz MA, Knight M, Luteijn JM, Marshall H, Bhat N, Gravett MG, Skidmore B, Ortiz JR. Maternal influenza and birth outcomes: systematic review of comparative studies. BJOG 2017; 124:48-59. [PMID: 27264387 PMCID: PMC5216449 DOI: 10.1111/1471-0528.14143] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND Although pregnant women are considered at high risk for severe influenza disease, comparative studies of maternal influenza and birth outcomes have not been comprehensively summarised. OBJECTIVE To review comparative studies evaluating maternal influenza disease and birth outcomes. SEARCH STRATEGY We searched bibliographic databases from inception to December 2014. SELECTION CRITERIA Studies of preterm birth, small-for-gestational-age (SGA) birth or fetal death, comparing women with and without clinical influenza illness or laboratory-confirmed influenza infection during pregnancy. DATA COLLECTION AND ANALYSIS Two reviewers independently abstracted data and assessed study quality. MAIN RESULTS Heterogeneity across 16 studies reporting preterm birth precluded meta-analysis. In a subgroup of the highest-quality studies, two reported significantly increased preterm birth (risk ratios (RR) from 2.4 to 4.0) following severe 2009 pandemic H1N1 (pH1N1) influenza illness, whereas those assessing mild-to-moderate pH1N1 or seasonal influenza found no association. Five studies of SGA birth showed no discernible patterns with respect to influenza disease severity (pooled odds ratio 1.24; 95% CI 0.96-1.59). Two fetal death studies were of sufficient quality and size to permit meaningful interpretation. Both reported an increased risk of fetal death following maternal pH1N1 disease (RR 1.9 for mild-to-moderate disease and 4.2 for severe disease). CONCLUSIONS Comparative studies of preterm birth, SGA birth and fetal death following maternal influenza disease are limited in number and quality. An association between severe pH1N1 disease and preterm birth and fetal death was reported by several studies; however, these limited data do not permit firm conclusions on the magnitude of any association. TWEETABLE ABSTRACT Comparative studies are limited in quality but suggest severe pandemic H1N1 influenza increases preterm birth.
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Affiliation(s)
- DB Fell
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQCCanada
- Better Outcomes Registry & Network (BORN)CHEO Research InstituteOttawaONCanada
| | - DA Savitz
- Department of EpidemiologyBrown UniversityProvidenceRIUSA
- Department of Obstetrics and GynecologyBrown UniversityProvidenceRIUSA
| | - MS Kramer
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQCCanada
- Department of PediatricsMcGill University Faculty of MedicineMontrealQCCanada
| | - BD Gessner
- Agence de Médecine PréventiveParisFrance
| | - MA Katz
- Independent ConsultantTel AvivIsrael
| | - M Knight
- National Perinatal Epidemiology UnitUniversity of OxfordOxfordUK
| | | | - H Marshall
- Vaccinology and Immunology Research Trials UnitWomen's and Children's HospitalNorth AdelaideSAAustralia
- School of MedicineUniversity of AdelaideNorth AdelaideSAAustralia
- Robinson Research InstituteUniversity of AdelaideNorth AdelaideSAAustralia
| | | | - MG Gravett
- Department of Obstetrics and GynecologyUniversity of WashingtonSeattleWAUSA
- Global Alliance to Prevent Prematurity and StillbirthSeattle Children'sSeattleWAUSA
| | | | - JR Ortiz
- Initiative for Vaccine ResearchWorld Health OrganizationGenevaSwitzerland
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Childs L, François J, Choudhury A, Wannemuehler K, Dismer A, Hyde TB, Yen CY, Date KA, Juin S, Katz MA, Kantor EF, Routh J, Etheart M, Wright T, Adrien P, Tohme RA. Evaluation of Knowledge and Practices Regarding Cholera, Water Treatment, Hygiene, and Sanitation Before and After an Oral Cholera Vaccination Campaign-Haiti, 2013-2014. Am J Trop Med Hyg 2016; 95:1305-1313. [PMID: 27799642 DOI: 10.4269/ajtmh.16-0555] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 09/08/2016] [Indexed: 11/07/2022] Open
Abstract
In 2013, the Government of Haiti implemented its first oral cholera vaccine (OCV) campaign in Petite Anse, an urban setting, and Cerca Carvajal, a rural commune. We conducted and compared responses to two independent cross-sectional knowledge and practices household surveys pre- (N = 297) and post- (N = 302) OCV campaign in Petite Anse. No significant differences in knowledge about causes, symptoms, and prevention of cholera were noted. Compared with precampaign respondents, fewer postcampaign respondents reported treating (66% versus 27%, P < 0.001) and covering (96% versus 89%, P = 0.02) their drinking water. Compared with precampaign, postcampaign survey household observations showed increased availability of soap (16.2% versus 34.5%, P = 0.001) and handwashing stations (14.7% versus 30.1%, P = 0.01), but no significant changes in handwashing practices were reported. Although there was no change in knowledge, significant decreases in water treatment practices necessary for cholera and other diarrheal diseases prevention were noted in the postcampaign survey. Future OCV campaigns in Haiti should be used as an opportunity to emphasize the importance of maintaining good water, sanitation, and hygiene practices, and include a comprehensive, integrated approach for cholera control.
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Affiliation(s)
- Lana Childs
- Emory University Rollins School of Public Health Earn and Learn Program, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Alina Choudhury
- Emory University Rollins School of Public Health Earn and Learn Program, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Amber Dismer
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Terri B Hyde
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Catherine Y Yen
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kashmira A Date
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Stanley Juin
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Mark A Katz
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | | | - Janell Routh
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Melissa Etheart
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Tracie Wright
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Paul Adrien
- Ministry of Public Health and Population, Port-au-Prince, Haiti
| | - Rania A Tohme
- Centers for Disease Control and Prevention, Atlanta, Georgia.
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Makokha C, Mott J, Njuguna HN, Khagayi S, Verani JR, Nyawanda B, Otieno N, Katz MA. Comparison of severe acute respiratory illness (sari) and clinical pneumonia case definitions for the detection of influenza virus infections among hospitalized patients, western Kenya, 2009-2013. Influenza Other Respir Viruses 2016; 10:333-9. [PMID: 27219455 PMCID: PMC4910169 DOI: 10.1111/irv.12382] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2016] [Indexed: 12/13/2022] Open
Abstract
Although the severe acute respiratory illness (SARI) case definition is increasingly used for inpatient influenza surveillance, pneumonia is a more familiar term to clinicians and policymakers. We evaluated WHO case definitions for severe acute respiratory illness (SARI) and pneumonia (Integrated Management of Childhood Illnesses (IMCI) for children aged <5 years and Integrated Management of Adolescent and Adult Illnesses (IMAI) for patients aged ≥13 years) for detecting laboratory-confirmed influenza among hospitalized ARI patients. Sensitivities were 84% for SARI and 69% for IMCI pneumonia in children aged <5 years and 60% for SARI and 57% for IMAI pneumonia in patients aged ≥13 years. Clinical pneumonia case definitions may be a useful complement to SARI for inpatient influenza surveillance.
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Affiliation(s)
| | - Joshua Mott
- Centers for Disease Control and PreventionNairobiKenya
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
| | | | | | - Jennifer R. Verani
- Centers for Disease Control and PreventionNairobiKenya
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
| | | | - Nancy Otieno
- Kenya Medical Research Institute (KEMRI)KisumuKenya
| | - Mark A. Katz
- Centers for Disease Control and Prevention (CDC)AtlantaGAUSA
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35
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Nyawanda BO, Mott JA, Njuguna HN, Mayieka L, Khagayi S, Onkoba R, Makokha C, Otieno NA, Bigogo GM, Katz MA, Feikin DR, Verani JR. Evaluation of case definitions to detect respiratory syncytial virus infection in hospitalized children below 5 years in Rural Western Kenya, 2009-2013. BMC Infect Dis 2016; 16:218. [PMID: 27207342 PMCID: PMC4875667 DOI: 10.1186/s12879-016-1532-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 05/02/2016] [Indexed: 11/20/2022] Open
Abstract
Background In order to better understand respiratory syncytial virus (RSV) epidemiology and burden in tropical Africa, optimal case definitions for detection of RSV cases need to be identified. Methods We used data collected between September 2009 - August 2013 from children aged <5 years hospitalized with acute respiratory Illness at Siaya County Referral Hospital. We evaluated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of individual signs, symptoms and standard respiratory disease case definitions (severe acute respiratory illness [SARI]; hospitalized influenza-like illness [hILI]; integrated management of childhood illness [IMCI] pneumonia) to detect laboratory-confirmed RSV infection. We also evaluated an alternative case definition of cough or difficulty breathing plus hypoxia, in-drawing, or wheeze. Results Among 4714 children hospitalized with ARI, 3810 (81 %) were tested for RSV; and 470 (12 %) were positive. Among individual signs and symptoms, cough alone had the highest sensitivity to detect laboratory-confirmed RSV [96 %, 95 % CI (95–98)]. Hypoxia, wheezing, stridor, nasal flaring and chest wall in-drawing had sensitivities ranging from 8 to 31 %, but had specificities >75 %. Of the standard respiratory case definitions, SARI had the highest sensitivity [83 %, 95 % CI (79–86)] whereas IMCI severe pneumonia had the highest specificity [91 %, 95 % CI (90–92)]. The alternative case definition (cough or difficulty breathing plus hypoxia, in-drawing, or wheeze) had a sensitivity of [55 %, 95 % CI (50–59)] and a specificity of [60 %, 95 % CI (59–62)]. The PPV for all case definitions and individual signs/symptoms ranged from 11 to 20 % while the negative predictive values were >87 %. When we stratified by age <1 year and 1- < 5 years, difficulty breathing, severe pneumonia and the alternative case definition were more sensitive in children aged <1 year [70 % vs. 54 %, p < 0.01], [19 % vs. 11 %, p = 0.01] and [66 % vs. 43 %, p < 0.01] respectively, while non-severe pneumonia was more sensitive [14 % vs. 26 %, p < 0.01] among children aged 1- < 5 years. Conclusion The sensitivity and specificity of different commonly used case definitions for detecting laboratory-confirmed RSV cases varied widely, while the positive predictive value was consistently low. Optimal choice of case definition will depend upon study context and research objectives.
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Affiliation(s)
- Bryan O Nyawanda
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
| | - Joshua A Mott
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.,Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Henry N Njuguna
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Lilian Mayieka
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Sammy Khagayi
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Reuben Onkoba
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Caroline Makokha
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Nancy A Otieno
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Godfrey M Bigogo
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Mark A Katz
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Daniel R Feikin
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennifer R Verani
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.,Centers for Disease Control and Prevention, Atlanta, GA, USA
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36
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Waiboci LW, Mott JA, Kikwai G, Arunga G, Xu X, Mayieka L, Emukule GO, Muthoka P, Njenga MK, Fields BS, Katz MA. Which influenza vaccine formulation should be used in Kenya? A comparison of influenza isolates from Kenya to vaccine strains, 2007-2013. Vaccine 2016; 34:2593-601. [PMID: 27079931 DOI: 10.1016/j.vaccine.2016.03.095] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Revised: 03/11/2016] [Accepted: 03/29/2016] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Every year the World Health Organization (WHO) recommends which influenza virus strains should be included in a northern hemisphere (NH) and a southern hemisphere (SH) influenza vaccine. To determine the best vaccine formulation for Kenya, we compared influenza viruses collected in Kenya from April 2007 to May 2013 to WHO vaccine strains. METHODS We collected nasopharyngeal and oropharyngeal (NP/OP) specimens from patients with respiratory illness, tested them for influenza, isolated influenza viruses from a proportion of positive specimens, tested the isolates for antigenic relatedness to vaccine strains, and determined the percentage match between circulating viruses and SH or NH influenza vaccine composition and schedule. RESULTS During the six years, 7.336 of the 60,072 (12.2%) NP/OP specimens we collected were positive for influenza: 30,167 specimens were collected during the SH seasons and 3717 (12.3%) were positive for influenza; 2903 (78.1%) influenza A, 902 (24.2%) influenza B, and 88 (2.4%) influenza A and B positive specimens. We collected 30,131 specimens during the NH seasons and 3978 (13.2%) were positive for influenza; 3181 (80.0%) influenza A, 851 (21.4%) influenza B, and 54 (1.4%) influenza A and B positive specimens. Overall, 362/460 (78.7%) isolates from the SH seasons and 316/338 (93.5%) isolates from the NH seasons were matched to the SH and the NH vaccine strains, respectively (p<0.001). Overall, 53.6% and 46.4% SH and NH vaccines, respectively, matched circulating strains in terms of vaccine strains and timing. CONCLUSION In six years of surveillance in Kenya, influenza circulated at nearly equal levels during the SH and the NH influenza seasons. Circulating viruses were matched to vaccine strains. The vaccine match decreased when both vaccine strains and timing were taken into consideration. Either vaccine formulation could be suitable for use in Kenya but the optimal timing for influenza vaccination needs to be determined.
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Affiliation(s)
- Lilian W Waiboci
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya; Department of Biochemistry, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya.
| | - Joshua A Mott
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya; US Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329-4027, USA
| | - Gilbert Kikwai
- Kenya Medical Research Institute/Centers for Diseases Control and Prevention, P.O. Box 54840-00200, Nairobi, Kenya
| | - Geoffrey Arunga
- Kenya Medical Research Institute/Centers for Diseases Control and Prevention, P.O. Box 54840-00200, Nairobi, Kenya
| | - Xiyan Xu
- US Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329-4027, USA
| | - Lilian Mayieka
- Kenya Medical Research Institute/Centers for Diseases Control and Prevention, P.O. Box 54840-00200, Nairobi, Kenya
| | - Gideon O Emukule
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya
| | - Phillip Muthoka
- Kenya Ministry of Health, Afya House, P.O. Box 30016-00100, Nairobi, Kenya
| | - M Kariuki Njenga
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya; Kenya Medical Research Institute/Centers for Diseases Control and Prevention, P.O. Box 54840-00200, Nairobi, Kenya
| | - Barry S Fields
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya; US Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329-4027, USA
| | - Mark A Katz
- US Centers for Disease Control and Prevention-Kenya, P.O. Box 606-00621, Nairobi, Kenya; US Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329-4027, USA
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Munoz FM, Eckert LO, Katz MA, Lambach P, Ortiz JR, Bauwens J, Bonhoeffer J. Key terms for the assessment of the safety of vaccines in pregnancy: Results of a global consultative process to initiate harmonization of adverse event definitions. Vaccine 2015; 33:6441-52. [PMID: 26387433 PMCID: PMC8243724 DOI: 10.1016/j.vaccine.2015.07.112] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2015] [Accepted: 07/15/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND The variability of terms and definitions of Adverse Events Following Immunization (AEFI) represents a missed opportunity for optimal monitoring of safety of immunization in pregnancy. In 2014, the Brighton Collaboration Foundation and the World Health Organization (WHO) collaborated to address this gap. METHODS Two Brighton Collaboration interdisciplinary taskforces were formed. A landscape analysis included: (1) a systematic literature review of adverse event definitions used in vaccine studies during pregnancy; (2) a worldwide stakeholder survey of available terms and definitions; (3) and a series of taskforce meetings. Based on available evidence, taskforces proposed key terms and concept definitions to be refined, prioritized, and endorsed by a global expert consultation convened by WHO in Geneva, Switzerland in July 2014. RESULTS Using pre-specified criteria, 45 maternal and 62 fetal/neonatal events were prioritized, and key terms and concept definitions were endorsed. In addition recommendations to further improve safety monitoring of immunization in pregnancy programs were specified. This includes elaboration of disease concepts into standardized case definitions with sufficient applicability and positive predictive value to be of use for monitoring the safety of immunization in pregnancy globally, as well as the development of guidance, tools, and datasets in support of a globally concerted approach. CONCLUSIONS There is a need to improve the safety monitoring of immunization in pregnancy programs. A consensus list of terms and concept definitions of key events for monitoring immunization in pregnancy is available. Immediate actions to further strengthen monitoring of immunization in pregnancy programs are identified and recommended.
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Affiliation(s)
- Flor M Munoz
- Departments of Pediatrics and Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
| | - Linda O Eckert
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | | | - Philipp Lambach
- Initiative for Vaccine Research, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland
| | - Justin R Ortiz
- Initiative for Vaccine Research, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland.
| | | | - Jan Bonhoeffer
- Brighton Collaboration Foundation, Basel, Switzerland; University of Basel Children's Hospital, Basel, Switzerland.
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McMorrow ML, Emukule GO, Njuguna HN, Bigogo G, Montgomery JM, Nyawanda B, Audi A, Breiman RF, Katz MA, Cosmas L, Waiboci LW, Duque J, Widdowson MA, Mott JA. The Unrecognized Burden of Influenza in Young Kenyan Children, 2008-2012. PLoS One 2015; 10:e0138272. [PMID: 26379030 PMCID: PMC4574572 DOI: 10.1371/journal.pone.0138272] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Accepted: 08/26/2015] [Indexed: 11/24/2022] Open
Abstract
Influenza-associated disease burden among children in tropical sub-Saharan Africa is not well established, particularly outside of the 2009 pandemic period. We estimated the burden of influenza in children aged 0–4 years through population-based surveillance for influenza-like illness (ILI) and acute lower respiratory tract illness (ALRI). Household members meeting ILI or ALRI case definitions were referred to health facilities for evaluation and collection of nasopharyngeal and oropharyngeal swabs for influenza testing by real-time reverse transcription polymerase chain reaction. Estimates were adjusted for health-seeking behavior and those with ILI and ALRI who were not tested. During 2008–2012, there were 9,652 person-years of surveillance among children aged 0–4 years. The average adjusted rate of influenza-associated hospitalization was 4.3 (95% CI 3.0–6.0) per 1,000 person-years in children aged 0–4 years. Hospitalization rates were highest in the 0–5 month and 6–23 month age groups, at 7.6 (95% CI 3.2–18.2) and 8.4 (95% CI 5.4–13.0) per 1,000 person-years, respectively. The average adjusted rate of influenza-associated medically attended (inpatient or outpatient) ALRI in children aged 0–4 years was 17.4 (95% CI 14.2–19.7) per 1,000 person-years. Few children who had severe laboratory-confirmed influenza were clinically diagnosed with influenza by the treating clinician in the inpatient (0/33, 0%) or outpatient (1/109, 0.9%) settings. Influenza-associated hospitalization rates from 2008–2012 were 5–10 times higher than contemporaneous U.S. estimates. Many children with danger signs were not hospitalized; thus, influenza-associated severe disease rates in Kenyan children are likely higher than hospital-based estimates suggest.
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Affiliation(s)
- Meredith L. McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
- United States Public Health Service, Rockville, Maryland, United States of America
- * E-mail:
| | - Gideon O. Emukule
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
| | - Henry N. Njuguna
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
| | - Godfrey Bigogo
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Joel M. Montgomery
- United States Public Health Service, Rockville, Maryland, United States of America
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Bryan Nyawanda
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Allan Audi
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Robert F. Breiman
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
- Emory Global Health Institute, Emory University, Atlanta, Georgia, United States of America
| | - Mark A. Katz
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
| | - Leonard Cosmas
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
| | - Lilian W. Waiboci
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
| | - Jazmin Duque
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
- Battelle, Atlanta, Georgia, United States of America
| | - Marc-Alain Widdowson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Joshua A. Mott
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
- United States Public Health Service, Rockville, Maryland, United States of America
- Centers for Disease Control and Prevention-Kenya Country Office, Nairobi, Kenya
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Tohme RA, François J, Wannemuehler K, Iyengar P, Dismer A, Adrien P, Hyde TB, Marston BJ, Date K, Mintz E, Katz MA. Oral Cholera Vaccine Coverage, Barriers to Vaccination, and Adverse Events following Vaccination, Haiti, 2013. Emerg Infect Dis 2015; 21:984-91. [PMID: 25988350 PMCID: PMC4451924 DOI: 10.3201/eid2106.141797] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
In 2013, the first government-led oral cholera vaccination (OCV) campaign in Haiti was implemented in Petite Anse and Cerca Carvajal. To evaluate vaccination coverage, barriers to vaccination, and adverse events following vaccination, we conducted a cluster survey. We enrolled 1,121 persons from Petite Anse and 809 persons from Cerca Carvajal, categorized by 3 age groups (1-4, 5-14, >15 years). Two-dose OCV coverage was 62.5% in Petite Anse and 76.8% in Cerca Carvajal. Two-dose coverage was lowest among persons >15 years of age. In Cerca Carvajal, coverage was significantly lower for male than female respondents (69% vs. 85%; p<0.001). No major adverse events were reported. The main reason for nonvaccination was absence during the campaign. Vaccination coverage after this campaign was acceptable and comparable to that resulting from campaigns implemented by nongovernmental organizations. Future campaigns should be tailored to reach adults who are not available during daytime hours.
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Esona MD, Buteau J, Lucien MAB, Joseph GA, Leshem E, Boncy J, Katz MA, Bowen MD, Balajee SA. Rotavirus group A genotypes detected through diarrheal disease surveillance in Haiti, 2012. Am J Trop Med Hyg 2015; 93:54-6. [PMID: 25962775 DOI: 10.4269/ajtmh.14-0403] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 03/29/2015] [Indexed: 12/19/2022] Open
Abstract
Samples collected in 2012 through diarrheal disease surveillance in Haiti were tested for rotavirus by enzyme immunoassay and real time RT-PCR and positive samples were genotyped. The predominant genotypes were G1P[8] (29% prevalence) and G9P[8] (21%). The observed genotype prevalence was similar to that reported previously for other Caribbean countries.
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Affiliation(s)
- Mathew D Esona
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Josiane Buteau
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Mentor Ali Ber Lucien
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Gerard A Joseph
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Eyal Leshem
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Jacques Boncy
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Mark A Katz
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - Michael D Bowen
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
| | - S Arunmozhi Balajee
- Centers for Disease Control and Prevention, Atlanta, Georgia; Laboratoire National de Santé Publique (National Public Health Laboratory), Port-au-Prince, Haiti
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McCarron M, Munyua P, Cheng PY, Manga T, Wanjohi C, Moen A, Mounts A, Katz MA. Understanding the poultry trade network in Kenya: Implications for regional disease prevention and control. Prev Vet Med 2015; 120:321-7. [PMID: 26002998 DOI: 10.1016/j.prevetmed.2015.03.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Revised: 02/24/2015] [Accepted: 03/30/2015] [Indexed: 11/26/2022]
Abstract
Infectious diseases in poultry can spread quickly and lead to huge economic losses. In the past decade, on multiple continents, the accelerated spread of highly pathogenic avian Influenza A (H5N1) virus, often through informal trade networks, has led to the death and culling of hundreds of millions of poultry. Endemic poultry diseases like Newcastle disease and fowl typhoid can also be devastating in many parts of the world. Understanding trade networks in unregulated systems can inform policy decisions concerning disease prevention and containment. From June to December 2008 we conducted a cross-sectional survey of backyard farmers, market traders, and middlemen in 5/8 provinces in Kenya. We administered a standardized questionnaire to each type of actor using convenience, random, snowball, and systematic sampling. Questionnaires addressed frequency, volume, and geography of trade, as well as biosecurity practices. We created a network diagram identifying the most important locations for trade. Of 380 respondents, 51% were backyard farmers, 24% were middlemen and 25% were market traders. Half (50%) of backyard farmers said they raised poultry both for household consumption and for sale. Compared to market traders, middlemen bought their poultry from a greater number of villages (median 4.2 villages for middlemen vs. 1.9 for market traders). Traders were most likely to purchase poultry from backyard farmers. Of the backyard farmers who sold poultry, 51% [CI 40-63] reported selling poultry to market traders, and 54% [CI 44-63] sold to middlemen. Middlemen moved the largest volume of poultry on a weekly basis (median purchases: 187 birds/week [IQR 206]; median sales: 188 birds/week [IQR 412.5]). The highest numbers of birds were traded in Nairobi - Kenya's capital city. Nairobi was the most prominent trading node in the network (61 degrees of centrality). Many smaller sub-networks existed as a result of clustered local trade. Market traders were also integral to the network. The informal poultry trade in Kenya is dependent on the sale of backyard poultry to middlemen and market traders. These two actors play a critical role in poultry movement in Kenya; during any type of disease outbreak middlemen should be targeted for control- and containment-related interventions.
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Affiliation(s)
- Margaret McCarron
- US Centers for Disease Control and Prevention, Influenza Division, 1600 Clifton Rd. NE, Atlanta, GA 30333, USA.
| | - Peninah Munyua
- Centers for Disease Control and Prevention-Kenya, KEMRI Complex, Mbagathi Road off Mbagathi Way PO Box 606-00621 Village Market, Nairobi, Kenya
| | - Po-Yung Cheng
- US Centers for Disease Control and Prevention, Influenza Division, 1600 Clifton Rd. NE, Atlanta, GA 30333, USA; Battelle Memorial Institute, 2987 Clairmont Road, Suite 450, Atlanta, GA 30329, USA
| | - Thomas Manga
- Department of Veterinary Services, Ministry of Livestock Development, P.Os. Box 34188-00100, Nairobi, Kenya
| | - Cathryn Wanjohi
- Department of Veterinary Services, Ministry of Livestock Development, P.Os. Box 34188-00100, Nairobi, Kenya
| | - Ann Moen
- US Centers for Disease Control and Prevention, Influenza Division, 1600 Clifton Rd. NE, Atlanta, GA 30333, USA
| | - Anthony Mounts
- US Centers for Disease Control and Prevention, Influenza Division, 1600 Clifton Rd. NE, Atlanta, GA 30333, USA
| | - Mark A Katz
- US Centers for Disease Control and Prevention, Influenza Division, 1600 Clifton Rd. NE, Atlanta, GA 30333, USA; Centers for Disease Control and Prevention-Kenya, KEMRI Complex, Mbagathi Road off Mbagathi Way PO Box 606-00621 Village Market, Nairobi, Kenya
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Lucien MAB, Schaad N, Steenland MW, Mintz ED, Emmanuel R, Freeman N, Boncy J, Adrien P, Joseph GA, Katz MA. Identifying the most sensitive and specific sign and symptom combinations for cholera: results from an analysis of laboratory-based surveillance data from Haiti, 2012-2013. Am J Trop Med Hyg 2015; 92:758-764. [PMID: 25732682 PMCID: PMC4385769 DOI: 10.4269/ajtmh.14-0429] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 01/05/2015] [Indexed: 11/29/2022] Open
Abstract
Since October 2010, over 700,000 cholera cases have been reported in Haiti. We used data from laboratory-based surveillance for diarrhea in Haiti to evaluate the sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of the cholera case definitions recommended by the World Health Organization (WHO). From April 2012 to May 2013, we tested 1,878 samples from hospitalized patients with acute watery diarrhea; 1,178 (62.7%) yielded Vibrio cholerae O1. The sensitivity and specificity of the WHO case definition for cholera in an epidemic setting were 91.3% and 43.1%, respectively, and the PPV and NPV were 72.8% and 74.8%, respectively. The WHO case definition for cholera in an area where cholera is not known to be present had lower sensitivity (63.1%) and NPV (55.1%) but higher specificity (74.2%) and PPV (80.0%). When laboratory diagnostic testing is not immediately available, clinicians can evaluate signs and symptoms to more accurately identify cholera patients.
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Affiliation(s)
- Mentor Ali Ber Lucien
- *Address correspondence to Mentor Ali Ber Lucien, Turgeau, Port-au-Prince, Haiti, 667 WI. E-mail:
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Judd MC, Emukule GO, Njuguna H, McMorrow ML, Arunga GO, Katz MA, Montgomery JM, Wong JM, Breiman RF, Mott JA. The Role of HIV in the Household Introduction and Transmission of Influenza in an Urban Slum, Nairobi, Kenya, 2008-2011. J Infect Dis 2015; 212:740-4. [PMID: 25722293 DOI: 10.1093/infdis/jiv106] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Accepted: 02/17/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Little is known about how human immunodeficiency virus (HIV) infection affects influenza transmission within homes in sub-Saharan Africa. METHODS We used respiratory illness surveillance and HIV testing data gathered in Kibera, an urban slum in Nairobi, Kenya, to examine the impact of HIV status on (1) introducing influenza to the home and (2) transmitting influenza to household contacts. RESULTS While HIV status did not affect the likelihood of being an influenza index case, household contacts of HIV-infected influenza index cases had twice the risk of developing secondary influenza-like illness than contacts of HIV-negative index cases. CONCLUSIONS HIV-infected influenza index cases may facilitate transmission of influenza within the home.
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Affiliation(s)
- Michael C Judd
- Department of Epidemiology, Rollins School of Public Health, Emory University
| | - Gideon O Emukule
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Henry Njuguna
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Mark A Katz
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Joel M Montgomery
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Joshua M Wong
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Robert F Breiman
- International Emerging Infections Program, Centers for Disease Control and Prevention
| | - Joshua A Mott
- International Emerging Infections Program, Centers for Disease Control and Prevention
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Breiman RF, Cosmas L, Njenga M, Williamson J, Mott JA, Katz MA, Erdman DD, Schneider E, Oberste M, Neatherlin JC, Njuguna H, Ondari DM, Odero K, Okoth GO, Olack B, Wamola N, Montgomery JM, Fields BS, Feikin DR. Severe acute respiratory infection in children in a densely populated urban slum in Kenya, 2007-2011. BMC Infect Dis 2015; 15:95. [PMID: 25879805 PMCID: PMC4351931 DOI: 10.1186/s12879-015-0827-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 02/11/2015] [Indexed: 12/17/2022] Open
Abstract
Background Reducing acute respiratory infection burden in children in Africa remains a major priority and challenge. We analyzed data from population-based infectious disease surveillance for severe acute respiratory illness (SARI) among children <5 years of age in Kibera, a densely populated urban slum in Nairobi, Kenya. Methods Surveillance was conducted among a monthly mean of 5,874 (range = 5,778-6,411) children <5 years old in two contiguous villages in Kibera. Participants had free access to the study clinic and their health events and utilization were noted during biweekly home visits. Patients meeting criteria for SARI (WHO-defined severe or very severe pneumonia, or oxygen saturation <90%) from March 1, 2007-February 28, 2011 had blood cultures processed for bacteria, and naso- and oro- pharyngeal swabs collected for quantitative real-time reverse transcription polymerase chain reaction testing for influenza viruses, parainfluenza viruses (PIV), respiratory syncytial virus (RSV), adenovirus, and human metapneumovirus (hMPV). Swabs collected during January 1, 2009 – February 28, 2010 were also tested for rhinoviruses, enterovirus, parechovirus, Mycoplasma pneumoniae, and Legionella species. Swabs were collected for simultaneous testing from a selected group of control-children visiting the clinic without recent respiratory or diarrheal illnesses. Results SARI overall incidence was 12.4 cases/100 person-years of observation (PYO) and 30.4 cases/100 PYO in infants. When comparing detection frequency in swabs from 815 SARI cases and 115 healthy controls, only RSV and influenza A virus were significantly more frequently detected in cases, although similar trends neared statistical significance for PIV, adenovirus and hMPV. The incidence for RSV was 2.8 cases/100 PYO and for influenza A was 1.0 cases/100 PYO. When considering all PIV, the rate was 1.1 case/100 PYO and the rate per 100 PYO for SARI-associated disease was 1.5 for adenovirus and 0.9 for hMPV. RSV and influenza A and B viruses were estimated to account for 16.2% and 6.7% of SARI cases, respectively; when taken together, PIV, adenovirus, and hMPV may account for >20% additional cases. Conclusions Influenza viruses and RSV (and possibly PIV, hMPV and adenoviruses) are important pathogens to consider when developing technologies and formulating strategies to treat and prevent SARI in children.
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Njuguna HN, Caselton DL, Arunga GO, Emukule GO, Kinyanjui DK, Kalani RM, Kinkade C, Muthoka PM, Katz MA, Mott JA. A comparison of smartphones to paper-based questionnaires for routine influenza sentinel surveillance, Kenya, 2011-2012. BMC Med Inform Decis Mak 2014; 14:107. [PMID: 25539745 PMCID: PMC4305246 DOI: 10.1186/s12911-014-0107-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 11/04/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND For disease surveillance, manual data collection using paper-based questionnaires can be time consuming and prone to errors. We introduced smartphone data collection to replace paper-based data collection for an influenza sentinel surveillance system in four hospitals in Kenya. We compared the quality, cost and timeliness of data collection between the smartphone data collection system and the paper-based system. METHODS Since 2006, the Kenya Ministry of Health (MoH) with technical support from the Kenya Medical Research Institute/Centers for Disease Control and Prevention (KEMRI/CDC) conducted hospital-based sentinel surveillance for influenza in Kenya. In May 2011, the MOH replaced paper-based collection with an electronic data collection system using Field Adapted Survey Toolkit (FAST) on HTC Touch Pro2 smartphones at four sentinel sites. We compared 880 paper-based questionnaires dated Jan 2010-Jun 2011 and 880 smartphone questionnaires dated May 2011-Jun 2012 from the four surveillance sites. For each site, we compared the quality, cost and timeliness of each data collection system. RESULTS Incomplete records were more likely seen in data collected using pen-and-paper compared to data collected using smartphones (adjusted incidence rate ratio (aIRR) 7, 95% CI: 4.4-10.3). Errors and inconsistent answers were also more likely to be seen in data collected using pen-and-paper compared to data collected using smartphones (aIRR: 25, 95% CI: 12.5-51.8). Smartphone data was uploaded into the database in a median time of 7 days while paper-based data took a median of 21 days to be entered (p < 0.01). It cost USD 1,501 (9.4%) more to establish the smartphone data collection system ($17,500) than the pen-and-paper system (USD $15,999). During two years, however, the smartphone data collection system was $3,801 (7%) less expensive to operate ($50,200) when compared to pen-and-paper system ($54,001). CONCLUSIONS Compared to paper-based data collection, an electronic data collection system produced fewer incomplete data, fewer errors and inconsistent responses and delivered data faster. Although start-up costs were higher, the overall costs of establishing and running the electronic data collection system were lower compared to paper-based data collection system. Electronic data collection using smartphones has potential to improve timeliness, data integrity and reduce costs.
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Affiliation(s)
- Henry N Njuguna
- Influenza Program, Centers for Disease Control and Prevention-Kenya, P.O. Box 606, 00621, Village Market, Nairobi, Kenya.
| | - Deborah L Caselton
- Influenza Program, Centers for Disease Control and Prevention-Kenya, P.O. Box 606, 00621, Village Market, Nairobi, Kenya.
| | | | - Gideon O Emukule
- Influenza Program, Centers for Disease Control and Prevention-Kenya, P.O. Box 606, 00621, Village Market, Nairobi, Kenya.
| | | | - Rosalia M Kalani
- Department of Disease Surveillance and Response (DDSR) Ministry of Health, Nairobi, Kenya.
| | - Carl Kinkade
- Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control, Atlanta, Georgia, USA.
| | - Phillip M Muthoka
- Department of Disease Surveillance and Response (DDSR) Ministry of Health, Nairobi, Kenya.
| | - Mark A Katz
- Influenza Program, Centers for Disease Control and Prevention-Kenya, P.O. Box 606, 00621, Village Market, Nairobi, Kenya.
| | - Joshua A Mott
- Influenza Program, Centers for Disease Control and Prevention-Kenya, P.O. Box 606, 00621, Village Market, Nairobi, Kenya.
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Salyer SJ, Ellis EM, Salomon C, Bron C, Juin S, Hemme RR, Hunsperger E, Jentes ES, Magloire R, Tomashek KM, Desormeaux AM, Muñoz-Jordán JL, Etienne L, Beltran M, Sharp TM, Moffett D, Tappero J, Margolis HS, Katz MA. Dengue virus infections among Haitian and expatriate non-governmental organization workers--Léogane and Port-au-Prince, Haiti, 2012. PLoS Negl Trop Dis 2014; 8:e3269. [PMID: 25356592 PMCID: PMC4214624 DOI: 10.1371/journal.pntd.0003269] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 09/14/2014] [Indexed: 11/30/2022] Open
Abstract
In October 2012, the Haitian Ministry of Health and the US CDC were notified of 25 recent dengue cases, confirmed by rapid diagnostic tests (RDTs), among non-governmental organization (NGO) workers. We conducted a serosurvey among NGO workers in Léogane and Port-au-Prince to determine the extent of and risk factors for dengue virus infection. Of the total 776 staff from targeted NGOs in Léogane and Port-au-Prince, 173 (22%; 52 expatriates and 121 Haitians) participated. Anti-dengue virus (DENV) IgM antibody was detected in 8 (15%) expatriates and 9 (7%) Haitians, and DENV non-structural protein 1 in one expatriate. Anti-DENV IgG antibody was detected in 162 (94%) participants (79% of expatriates; 100% of Haitians), and confirmed by microneutralization testing as DENV-specific in 17/34 (50%) expatriates and 42/42 (100%) Haitians. Of 254 pupae collected from 68 containers, 65% were Aedes aegypti; 27% were Ae. albopictus. Few NGO workers reported undertaking mosquito-avoidance action. Our findings underscore the risk of dengue in expatriate workers in Haiti and Haitians themselves. Dengue is the most common mosquito-borne viral disease in the world, and caused an estimated 390 million infections and 96 million cases in the tropics and subtropics in 2010. Over the last decade, the number of cases of dengue and the severity of dengue virus infections have increased in the Americas, including the Caribbean, yet little is still known about dengue in Haiti. Following an outbreak of dengue in mostly expatriate NGO workers, the investigators of this study took blood samples from expatriate and Haitian NGO workers living in two cities in Haiti and tested them for evidence of current, recent, and past dengue virus infection. They also investigated the amount and kinds of mosquitoes at homes and work sites. The study found recent infections among some Haitians and expatriates and widespread past infections among all Haitians and most expatriates. It also found that many people were not doing basic things to avoid mosquito bites, like applying mosquito repellent multiple times a day and wearing long sleeves or pants. These findings highlight the likely endemicity of dengue virus in Haiti, and the need to improve knowledge and awareness of dengue prevention among expatriates visiting Haiti and local Haitians.
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Affiliation(s)
- Stephanie J. Salyer
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail:
| | - Esther M. Ellis
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Corvil Salomon
- Ministry of Public Health and Population, Port-au-Prince, Haiti
| | - Christophe Bron
- International Federation of Red Cross and Red Crescent Societies, Port-au-Prince, Haiti
| | - Stanley Juin
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Ryan R. Hemme
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | | | - Emily S. Jentes
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Roc Magloire
- Ministry of Public Health and Population, Port-au-Prince, Haiti
| | - Kay M. Tomashek
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | | | | | | | - Manuela Beltran
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Tyler M. Sharp
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Daphne Moffett
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jordan Tappero
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | | | - Mark A. Katz
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
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Ndegwa LK, Katz MA, McCormick K, Nganga Z, Mungai A, Emukule G, Kollmann MKHM, Mayieka L, Otieno J, Breiman RF, Mott JA, Ellingson K. Surveillance for respiratory health care-associated infections among inpatients in 3 Kenyan hospitals, 2010-2012. Am J Infect Control 2014; 42:985-90. [PMID: 25179331 DOI: 10.1016/j.ajic.2014.05.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Revised: 05/23/2014] [Accepted: 05/23/2014] [Indexed: 12/01/2022]
Abstract
BACKGROUND Although health care-associated infections are an important cause of morbidity and mortality worldwide, the epidemiology and etiology of respiratory health care-associated infections (rHAIs) have not been documented in Kenya. In 2010, the Ministry of Health, Kenya Medical Research Institute, and Centers for Disease Control and Prevention initiated surveillance for rHAIs at 3 hospitals. METHODS At each hospital, we surveyed intensive care units (ICUs), pediatric wards, and medical wards to identify patients with rHAIs, defined as any hospital-onset (≥3 days after admission) fever (≥38°C) or hypothermia (<35°C) with concurrent signs or symptoms of acute respiratory infection. Nasopharyngeal and oropharyngeal specimens were collected from these patients and tested by real-time reverse transcription polymerase chain reaction for influenza and 7 other viruses. RESULTS From April 2010-September 2012, of the 379 rHAI cases, 60.7% were men and 57.3% were children <18 years old. The overall incidence of rHAIs was 9.2 per 10,000 patient days, with the highest incidence in the ICUs. Of all specimens analyzed, 45.7% had at least 1 respiratory virus detected; 92.2% of all positive viral specimens were identified in patients <18 years old. CONCLUSION We identified rHAIs in all ward types under surveillance in Kenyan hospitals. Viruses may have a substantial role in these infections, particularly among pediatric populations. Further research is needed to refine case definitions and understand rHAIs in ICUs.
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Affiliation(s)
- Linus K Ndegwa
- Centers for Disease Control and Prevention-Nairobi, Kenya; Jomo Kenyatta University, Nairobi, Kenya.
| | - Mark A Katz
- Centers for Disease Control and Prevention-Nairobi, Kenya
| | - Kelly McCormick
- Centers for Disease Control and Prevention-Atlanta, Atlanta, GA
| | - Z Nganga
- Centers for Disease Control and Prevention-Atlanta, Atlanta, GA
| | - Ann Mungai
- Kenyatta National Hospital, Nairobi, Kenya
| | - Gideon Emukule
- Centers for Disease Control and Prevention-Nairobi, Kenya
| | | | - Lilian Mayieka
- Diagnostics and Laboratory Systems Program, Kenya Medical Research Institute/Centers for Disease Control, Kisumu, Kenya
| | - J Otieno
- Kenya Ministry of Medical Services, Nairobi, Kenya; New Nyanza Provincial Hospital, Nairobi, Kenya
| | | | - Joshua A Mott
- Centers for Disease Control and Prevention-Nairobi, Kenya
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Emukule GO, Khagayi S, McMorrow ML, Ochola R, Otieno N, Widdowson MA, Ochieng M, Feikin DR, Katz MA, Mott JA. The burden of influenza and RSV among inpatients and outpatients in rural western Kenya, 2009-2012. PLoS One 2014; 9:e105543. [PMID: 25133576 PMCID: PMC4136876 DOI: 10.1371/journal.pone.0105543] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 07/24/2014] [Indexed: 11/18/2022] Open
Abstract
Background In Kenya, detailed data on the age-specific burden of influenza and RSV are essential to inform use of limited vaccination and treatment resources. Methods We analyzed surveillance data from August 2009 to July 2012 for hospitalized severe acute respiratory illness (SARI) and outpatient influenza-like illness (ILI) at two health facilities in western Kenya to estimate the burden of influenza and respiratory syncytial virus (RSV). Incidence rates were estimated by dividing the number of cases with laboratory-confirmed virus infections by the mid-year population. Rates were adjusted for healthcare-seeking behavior, and to account for patients who met the SARI/ILI case definitions but were not tested. Results The average annual incidence of influenza-associated SARI hospitalization per 1,000 persons was 2.7 (95% CI 1.8–3.9) among children <5 years and 0.3 (95% CI 0.2–0.4) among persons ≥5 years; for RSV-associated SARI hospitalization, it was 5.2 (95% CI 4.0–6.8) among children <5 years and 0.1 (95% CI 0.0–0.2) among persons ≥5 years. The incidence of influenza-associated medically-attended ILI per 1,000 was 24.0 (95% CI 16.6–34.7) among children <5 years and 3.8 (95% CI 2.6–5.7) among persons ≥5 years. The incidence of RSV-associated medically-attended ILI was 24.6 (95% CI 17.0–35.4) among children <5 years and 0.8 (95% CI 0.3–1.9) among persons ≥5 years. Conclusions Influenza and RSV both exact an important burden in children. This highlights the possible value of influenza vaccines, and future RSV vaccines, for Kenyan children.
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Affiliation(s)
- Gideon O. Emukule
- Centers for Disease Control and Prevention (CDC)-Kenya Country Office, Nairobi, Kenya
- * E-mail:
| | - Sammy Khagayi
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Meredith L. McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- United States Public Health Service, Rockville, Maryland, United States of America
| | - Rachel Ochola
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Nancy Otieno
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Marc-Alain Widdowson
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Melvin Ochieng
- Kenya Medical Research Institute (KEMRI), Nairobi and Kisumu, Kenya
| | - Daniel R. Feikin
- Division of Preparedness and Emerging Infections, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Mark A. Katz
- Centers for Disease Control and Prevention (CDC)-Kenya Country Office, Nairobi, Kenya
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | - Joshua A. Mott
- Centers for Disease Control and Prevention (CDC)-Kenya Country Office, Nairobi, Kenya
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- United States Public Health Service, Rockville, Maryland, United States of America
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Katz MA, Muthoka P, Emukule GO, Kalani R, Njuguna H, Waiboci LW, Ahmed JA, Bigogo G, Feikin DR, Njenga MK, Breiman RF, Mott JA. Results from the first six years of national sentinel surveillance for influenza in Kenya, July 2007-June 2013. PLoS One 2014; 9:e98615. [PMID: 24955962 PMCID: PMC4067481 DOI: 10.1371/journal.pone.0098615] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2014] [Accepted: 05/05/2014] [Indexed: 12/01/2022] Open
Abstract
Background Recent studies have shown that influenza is associated with significant disease burden in many countries in the tropics, but until recently national surveillance for influenza was not conducted in most countries in Africa. Methods In 2007, the Kenyan Ministry of Health with technical support from the CDC-Kenya established a national sentinel surveillance system for influenza. At 11 hospitals, for every hospitalized patient with severe acute respiratory illness (SARI), and for the first three outpatients with influenza-like illness (ILI) per day, we collected both nasopharyngeal and oropharyngeal swabs. Beginning in 2008, we conducted in-hospital follow-up for SARI patients to determine outcome. Specimens were tested by real time RT-PCR for influenza A and B. Influenza A-positive specimens were subtyped for H1, H3, H5, and (beginning in May 2009) A(H1N1)pdm09. Results From July 1, 2007 through June 30, 2013, we collected specimens from 24,762 SARI and 14,013 ILI patients. For SARI and ILI case-patients, the median ages were 12 months and 16 months, respectively, and 44% and 47% were female. In all, 2,378 (9.6%) SARI cases and 2,041 (14.6%) ILI cases were positive for influenza viruses. Most influenza-associated SARI cases (58.6%) were in children <2 years old. Of all influenza-positive specimens, 78% were influenza A, 21% were influenza B, and 1% were influenza A/B coinfections. Influenza circulated in every month. In four of the six years influenza activity peaked during July–November. Of 9,419 SARI patients, 2.7% died; the median length of hospitalization was 4 days. Conclusions During six years of surveillance in Kenya, influenza was associated with nearly 10 percent of hospitalized SARI cases and one-sixth of outpatient ILI cases. Most influenza-associated SARI and ILI cases were in children <2 years old; interventions to reduce the burden of influenza, such as vaccine, could consider young children as a priority group.
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Affiliation(s)
- Mark A. Katz
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
- * E-mail:
| | | | - Gideon O. Emukule
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | | | - Henry Njuguna
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Lilian W. Waiboci
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Jamal A. Ahmed
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Godfrey Bigogo
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Daniel R. Feikin
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Moses K. Njenga
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Robert F. Breiman
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
| | - Joshua A. Mott
- Centers for Disease Control and Prevention-Kenya/Kenya Medical Research Institute, Nairobi, Kenya
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Emukule GO, McMorrow M, Ulloa C, Khagayi S, Njuguna HN, Burton D, Montgomery JM, Muthoka P, Katz MA, Breiman RF, Mott JA. Predicting mortality among hospitalized children with respiratory illness in Western Kenya, 2009-2012. PLoS One 2014; 9:e92968. [PMID: 24667695 PMCID: PMC3965502 DOI: 10.1371/journal.pone.0092968] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Accepted: 02/27/2014] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Pediatric respiratory disease is a major cause of morbidity and mortality in the developing world. We evaluated a modified respiratory index of severity in children (mRISC) scoring system as a standard tool to identify children at greater risk of death from respiratory illness in Kenya. MATERIALS AND METHODS We analyzed data from children <5 years old who were hospitalized with respiratory illness at Siaya District Hospital from 2009-2012. We used a multivariable logistic regression model to identify patient characteristics predictive for in-hospital mortality. Model discrimination was evaluated using the concordance statistic. Using bootstrap samples, we re-estimated the coefficients and the optimism of the model. The mRISC score for each child was developed by adding up the points assigned to each factor associated with mortality based on the coefficients in the multivariable model. RESULTS We analyzed data from 3,581 children hospitalized with respiratory illness; including 218 (6%) who died. Low weight-for-age [adjusted odds ratio (aOR) = 2.1; 95% CI 1.3-3.2], very low weight-for-age (aOR = 3.8; 95% CI 2.7-5.4), caretaker-reported history of unconsciousness (aOR = 2.3; 95% CI 1.6-3.4), inability to drink or breastfeed (aOR = 1.8; 95% CI 1.2-2.8), chest wall in-drawing (aOR = 2.2; 95% CI 1.5-3.1), and being not fully conscious on physical exam (aOR = 8.0; 95% CI 5.1-12.6) were independently associated with mortality. The positive predictive value for mortality increased with increasing mRISC scores. CONCLUSIONS A modified RISC scoring system based on a set of easily measurable clinical features at admission was able to identify children at greater risk of death from respiratory illness in Kenya.
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Affiliation(s)
- Gideon O. Emukule
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
| | - Meredith McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Chulie Ulloa
- Stanford University School of Medicine, Stanford, California, United States of America
| | - Sammy Khagayi
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
| | - Henry N. Njuguna
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
| | - Deron Burton
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
| | - Joel M. Montgomery
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
| | - Philip Muthoka
- Ministry of Public Health and Sanitation, Division of Disease Surveillance and Response, Nairobi, Kenya
| | - Mark A. Katz
- Centers for Disease Control and Prevention, Port-au-Prince, Haiti
| | | | - Joshua A. Mott
- Kenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya (KEMRI/CDC), Nairobi and Kisumu, Kenya
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