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Aleem M, DeBord K, Ahmed M, Rahman M, Rahman M, Islam M, Alamgir A, Salimuzzaman M, Shirin T, Chisti M, Rahman M, Azziz‐Baumgartner E, Chowdhury F, Iuliano A. Incidence of Hospitalization due to Influenza-Associated Severe Acute Respiratory Infection During 2010-2019 in Bangladesh. Influenza Other Respir Viruses 2024; 18:e13352. [PMID: 39005150 PMCID: PMC11247272 DOI: 10.1111/irv.13352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/15/2024] [Accepted: 06/20/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND Global influenza-associated acute respiratory infections contribute to 3-5 million severe illnesses requiring hospitalization annually, with 90% of hospitalizations occurring among children < 5 years in developing countries. In Bangladesh, the inadequate availability of nationally representative, robust estimates of influenza-associated hospitalizations limits allocation of resources for prevention and control measures. METHODS This study used data from the hospital-based influenza surveillance (HBIS) system in Bangladesh from 2010 to 2019 and healthcare utilization surveys to determine hospital utilization patterns in the catchment area. We estimated annual influenza-associated hospitalization numbers and rates for all age groups in Bangladesh using WHO methods, adjusted for a 6-day-a-week enrollment schedule, selective testing of specimens from children under five, and healthcare-seeking behavior, based on the proportion of symptomatic community participants seeking healthcare within the past week. We then estimated national hospitalization rates by multiplying age-specific hospitalization rates with the corresponding annual national census population. RESULTS Annual influenza-associated hospitalization rates per 100,000 population for all ages ranged from 31 (95% CI: 27-36) in 2011 to 139 (95% CI: 130-149) in 2019. Children < 5 years old had the highest rates of influenza-associated hospitalization, ranging from 114 (95% CI: 90-138) in 2011 to 529 (95% CI: 481-578) in 2019, followed by adults aged ≥ 65 years with rates ranging from 46 (95% CI: 34-57) in 2012 to 252 (95% CI: 213-292) in 2019. The national hospitalization estimates for all ages during 2010-2019 ranged from 47,891 to 236,380 per year. CONCLUSIONS The impact of influenza-associated hospitalizations in Bangladesh may be considerable, particularly for young children and older adults. Targeted interventions, such as influenza vaccination for these age groups, should be prioritized and evaluated.
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Affiliation(s)
- Mohammad Abdul Aleem
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Katherine Roguski DeBord
- National Center for Emerging and Zoonotic Infectious DiseasesCenters for Disease Control and Prevention (CDC)AtlantaUSA
| | - Makhdum Ahmed
- Hematology OncologyAstraZenecaBostonMassachusettsUSA
| | - Mohammed Ziaur Rahman
- One Health Laboratory, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Mustafizur Rahman
- Virology Laboratory, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Md Ariful Islam
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - A. S. M. Alamgir
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - M. Salimuzzaman
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - Tahmina Shirin
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - Mohammod Jobayer Chisti
- Maternal and Child Nutrition, Nutrition Research DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Mahmudur Rahman
- Eastern Mediterranean Public Health Network (EMPHNET)DhakaBangladesh
| | - Eduardo Azziz‐Baumgartner
- Global Influenza Branch, Influenza DivisionCenters for Disease Control and Prevention (CDC)AtlantaGeorgiaUSA
| | - Fahmida Chowdhury
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - A. Danielle Iuliano
- Influenza DivisionCenters for Disease Control and Prevention (CDC)AtlantaUSA
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2
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Prevalence and Characteristics of Malaria and Influenza Co-Infection in Febrile Patients: A Systematic Review and Meta-Analysis. Trop Med Infect Dis 2022; 7:tropicalmed7080168. [PMID: 36006260 PMCID: PMC9413030 DOI: 10.3390/tropicalmed7080168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/02/2022] [Accepted: 08/03/2022] [Indexed: 11/24/2022] Open
Abstract
Malaria and influenza are co-endemic in several geographical areas, and differentiation of their clinical features is difficult. The present study aimed to qualitatively and quantitatively analyze the prevalence and characteristics of malaria and influenza co-infection in febrile patients. The systematic review was registered at PROSPERO (CRD42021264525). Relevant literature that reported malaria and influenza co-infection in febrile patients were searched in PubMed, Web of Science, and Scopus from 20 June to 27 June 2021 and the risk of bias for each study was assessed. Quantitative analysis included pooled prevalence, and the odds of malaria and influenza virus co-infection among febrile patients were estimated using a random-effects model. Subgroup analyses were performed to summarize the effect estimate for each group. Funnel plot, Egger’s test, and contour-enhanced funnel plot were used to demonstrate any publication bias among outcomes of included studies. Among 4253 studies retrieved, 10 studies that enrolled 22,066 febrile patients with 650 co-infected patients were included for qualitative and quantitative syntheses. The pooled prevalence of malaria and influenza virus co-infection among febrile patients was 31.0% in Nigeria, 1.0% in Tanzania, 1.0% in Uganda, 1.0% in Malawi, 1.0% in Ghana, 0% in Cambodia, 7.0% in the Central African Republic, and 7.0% in Kenya. Meta-analysis also showed co-infection occurrence by chance (p = 0.097, odds ratio 0.54, 95% CI 0.26–1.12, I2 94.9%). The prevalence of malaria and influenza virus co-infection among febrile patients was heterogeneous by country, characteristics of febrile participants, and diagnostic tests for influenza virus. Further studies should investigate severe clinical manifestations or differentiate clinical outcomes between mono-infected or co-infected individuals, whether the co-infection leads to severe disease outcome.
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3
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Gachari MN, Ndegwa L, Emukule GO, Kirui L, Kalani R, Juma B, Mayieka L, Kinuthia P, Widdowson MA, Chaves SS. Severe acute respiratory illness surveillance for influenza in Kenya: Patient characteristics and lessons learnt. Influenza Other Respir Viruses 2022; 16:740-748. [PMID: 35289078 PMCID: PMC9111565 DOI: 10.1111/irv.12979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/01/2022] [Indexed: 12/24/2022] Open
Abstract
Background We describe the epidemiology and clinical features of Kenyan patients hospitalized with laboratory‐confirmed influenza compared with those testing negative and discuss the potential contribution of severe acute respiratory illness (SARI) surveillance in monitoring a broader range of respiratory pathogens. Methods We described demographic and clinical characteristics of SARI cases among children (<18 years) and adults, separately. We compared disease severity (clinical features and treatment) of hospitalized influenza positive versus negative cases and explored independent predictors of death among SARI cases using a multivariable logistic regression model. Results From January 2014 to December 2018, 11,166 persons were hospitalized with SARI and overall positivity for influenza was ~10%. There were 10,742 (96%) children (<18 years)—median age of 1 year, interquartile range (IQR = 6 months, 2 years). Only 424 (4%) of the SARI cases were adults (≥18 years), with median age of 38 years (IQR 28 years, 52 years). There was no difference in disease severity comparing influenza positive and negative cases among children. Children hospitalized with SARI who had an underlying illness had greater odds of in‐hospital death compared with those without (adjusted odds ratio 2.11 95% CI 1.09–4.07). No further analysis was done among adults due to the small sample size. Conclusion Kenya's sentinel surveillance for SARI mainly captures data on younger children. Hospital‐based platforms designed to monitor influenza viruses and associated disease burden may be adapted and expanded to other respiratory viruses to inform public health interventions. Efforts should be made to capture adults as part of routine respiratory surveillance.
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Affiliation(s)
- Maryanne N Gachari
- Kenya Field Epidemiology and Laboratory Training Program (K-FELTP), Nairobi, Kenya
| | - Linus Ndegwa
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Gideon O Emukule
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Lily Kirui
- Ministry of Health, National Influenza Centre (NIC), Nairobi, Kenya
| | - Rosalia Kalani
- Division of Disease Surveillance and Response, Ministry of Health, Nairobi, Kenya
| | - Bonventure Juma
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Lilian Mayieka
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Peter Kinuthia
- Ministry of Health, National Influenza Centre (NIC), Nairobi, Kenya
| | - Marc-Alain Widdowson
- Division of Global Health Protection, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.,Institute of Tropical Medicine, Antwerp, Belgium
| | - Sandra S Chaves
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.,Influenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
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4
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Tempia S, Moyes J, Cohen AL, Walaza S, McMorrow ML, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, Dawood H, Variava E, Cohen C. The national burden of influenza-like illness and severe respiratory illness overall and associated with nine respiratory viruses in South Africa, 2013-2015. Influenza Other Respir Viruses 2022; 16:438-451. [PMID: 35150059 PMCID: PMC8983907 DOI: 10.1111/irv.12949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Estimates of the disease burden associated with different respiratory viruses are severely limited in low- and middle-income countries, especially in Africa. METHODS We estimated age-specific numbers and rates of medically and non-medically attended influenza-like illness (ILI) and severe respiratory illness (SRI) that were associated with influenza, respiratory syncytial virus (RSV), rhinovirus, human metapneumovirus, adenovirus, enterovirus and parainfluenza virus types 1-3 after adjusting for the attributable fraction (AF) of virus detection to illness in South Africa during 2013-2015. The base rates were estimated from five surveillance sites and extrapolated nationally. RESULTS The mean annual rates per 100,000 population were 51,383 and 4196 for ILI and SRI, respectively. Of these, 26% (for ILI) and 46% (for SRI) were medically attended. Among outpatients with ILI, rhinovirus had the highest AF-adjusted rate (7221), followed by influenza (6443) and adenovirus (1364); whereas, among inpatients with SRI, rhinovirus had the highest AF-adjusted rate (400), followed by RSV (247) and influenza (130). Rhinovirus (9424) and RSV (2026) had the highest AF-adjusted rates among children aged <5 years with ILI or SRI, respectively, whereas rhinovirus (757) and influenza (306) had the highest AF-adjusted rates among individuals aged ≥65 years with ILI or SRI, respectively. CONCLUSIONS There was a substantial burden of ILI and SRI in South Africa during 2013-2015. Rhinovirus and influenza had a prominent disease burden among patients with ILI. RSV and influenza were the most prominent causes of SRI in children and the elderly, respectively.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,MassGenics, Duluth, GA, USA.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Global Immunization Monitoring and Surveillance Team, Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Division of Virology, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa.,Department of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa.,Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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5
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Kim DK, McGeer A, Uleryk E, Coleman BL. Burden of severe illness associated with laboratory confirmed influenza in adults aged 50-64 years: A rapid review. Influenza Other Respir Viruses 2022; 16:632-642. [PMID: 35044096 PMCID: PMC9178069 DOI: 10.1111/irv.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/05/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND While the high burden of illness caused by seasonal influenza in children and the elderly is well recognize, less is known about the burden in adults 50-64 years of age. The lack of data for this age group is a key challenge in evaluating the cost-effectiveness of immunization programs. We aimed to assess influenza-associated hospitalization and mortality rates and case fatality rates for hospitalized cases among adults aged 50-64 years. METHODS This rapid review was conducted according to the PRISMA; we searched MEDLINE, EMBASE, Cochrane, Web of Science, and grey literature for articles and reports published since 2010. Studies reporting rates of hospitalization and/or mortality associated with laboratory-confirmed influenza among adults 50-64 or 45-64 years of age for the 2010-11 through 2019-20 seasons were included. RESULTS Twenty studies from 13 countries were reviewed. Reported rates of hospitalization associated with laboratory-confirmed influenza were 5.7 to 112.8 per 100,000. Rates tended to be higher in the 2015-2019 compared with the 2010-2014 seasons and were higher in studies reporting data from high-income versus low and middle-income countries. Mortality rates were reported in only one study, with rates ranging from 0.8 to 3.5 per 100,000 in four different seasons. The case fatality rate among those hospitalized with influenza, as reported by population-based studies, ranged from 1.3% to 5.6%. CONCLUSIONS Seasonal influenza imposes a significant burden of morbidity on adults 50-64 years of age but with high heterogeneity across seasons and geographic regions. Ongoing surveillance is required to improve estimates of burden to better inform influenza vaccination and other public health policies.
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Affiliation(s)
- Dong Kyu Kim
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada
| | - Allison McGeer
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Brenda L Coleman
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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6
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Roguski KM, Rolfes MA, Reich JS, Owens Z, Patel N, Fitzner J, Cozza V, Lafond KE, Azziz-Baumgartner E, Iuliano AD. Variability in published rates of influenza-associated hospitalizations: A systematic review, 2007-2018. J Glob Health 2021; 10:020430. [PMID: 33274066 PMCID: PMC7699004 DOI: 10.7189/jogh.10.020430] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background Influenza burden estimates help provide evidence to support influenza prevention and control programs at local and international levels. Methods Through a systematic review, we aimed to identify all published articles estimating rates of influenza-associated hospitalizations, describe methods and data sources used, and identify regions of the world where estimates are still lacking. We evaluated study heterogeneity to determine if we could pool published rates to generate global estimates of influenza-associated hospitalization. Results We identified 98 published articles estimating influenza-associated hospitalization rates from 2007-2018. Most articles (65%) identified were from high-income countries, with 34 of those (53%) presenting estimates from the United States. While we identified fewer publications (18%) from low- and lower-middle-income countries, 50% of those were published from 2015-2018, suggesting an increase in publications from lower-income countries in recent years. Eighty percent (n = 78) used a multiplier approach. Regression modelling techniques were only used with data from upper-middle or high-income countries where hospital administrative data was available. We identified variability in the methods, case definitions, and data sources used, including 91 different age groups and 11 different categories of case definitions. Due to the high observed heterogeneity across articles (I2>99%), we were unable to pool published estimates. Conclusions The variety of methods, data sources, and case definitions adapted locally suggests that the current literature cannot be synthesized to generate global estimates of influenza-associated hospitalization burden.
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Affiliation(s)
| | - Melissa A Rolfes
- US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jeremy S Reich
- US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Zachary Owens
- Emory University, Rollins School of Public Health, Department of Epidemiology, Atlanta, Georgia, USA
| | - Neha Patel
- US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Julia Fitzner
- World Health Organization, Global Influenza Programme, Geneva, Switzerland
| | - Vanessa Cozza
- World Health Organization, Global Influenza Programme, Geneva, Switzerland
| | - Kathryn E Lafond
- US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | | | - A Danielle Iuliano
- US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
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7
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Wagner AL, Gresh L, Sanchez N, Kuan G, Kubale J, Lopez R, Ojeda S, Azziz-Baumgartner E, Balmaseda A, Gordon A. Influenza Illness and Partial Vaccination in the First Two Years of Life. Vaccines (Basel) 2021; 9:vaccines9060676. [PMID: 34203000 PMCID: PMC8235291 DOI: 10.3390/vaccines9060676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/15/2021] [Accepted: 06/16/2021] [Indexed: 11/16/2022] Open
Abstract
More information about influenza in low- and middle-income countries could guide the establishment of pediatric influenza vaccine programs. This study (1) characterizes the burden of influenza in infants, and (2) compares signs and symptoms by prior influenza vaccination or influenza illness. Newborns from Managua, Nicaragua, were followed for two years. Data came from primary medical appointments, PCR testing, and parents’ daily symptom diaries. Logistic regression models estimated associations between preceding vaccination or illness and influenza incidence. Linear models compared duration of illness by prior vaccination or influenza illness. Among 833 infants, 31% had PCR-positive influenza, and 28% were vaccinated against influenza. Four (<0.5%) were fully vaccinated. Overall, influenza incidence was 21.0 (95% confidence interval (CI): 18.8, 23.2) per 100 person-years. Incidence was lower among those with prior influenza compared with those without preceding illness or vaccination (OR: 0.64, 95% CI: 0.44, 0.94). Partially vaccinated children had 1 day less fever than those without prior illness or vaccination (p = 0.049). A large proportion of children <2 years in Nicaragua contract influenza. Illness was attenuated for those partially vaccinated. Since few children were fully vaccinated, future studies will need to consider the effectiveness of a two-dose vaccination schedule.
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Affiliation(s)
- Abram L. Wagner
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; (A.L.W.); (J.K.)
| | - Lionel Gresh
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
| | - Nery Sanchez
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua 12014, Nicaragua
| | - Guillermina Kuan
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua 12014, Nicaragua
| | - John Kubale
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; (A.L.W.); (J.K.)
| | - Roger Lopez
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua 16064, Nicaragua
| | - Sergio Ojeda
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
- Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua 12014, Nicaragua
| | | | - Angel Balmaseda
- Sustainable Sciences Institute, Managua 14007, Nicaragua; (L.G.); (N.S.); (G.K.); (R.L.); (S.O.); (A.B.)
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua 16064, Nicaragua
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; (A.L.W.); (J.K.)
- Correspondence:
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8
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Kraigsley AM, Moore KA, Bolster A, Peters M, Richardson D, Arpey M, Sonnenberger M, McCarron M, Lambach P, Maltezou HC, Bresee JS. Barriers and activities to implementing or expanding influenza vaccination programs in low- and middle-income countries: A global survey. Vaccine 2021; 39:3419-3427. [PMID: 33992439 DOI: 10.1016/j.vaccine.2021.04.043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/02/2021] [Accepted: 04/21/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Despite considerable global burden of influenza, few low- and middle-income countries (LMICs) have national influenza vaccination programs. This report provides a systematic assessment of barriers to and activities that support initiating or expanding influenza vaccination programs from the perspective of in-country public health officials. METHODS Public health officials in LMICs were sent a web-based survey to provide information on barriers and activities to initiating, expanding, or maintaining national influenza vaccination programs. The survey primarily included Likert-scale questions asking respondents to rank barriers and activities in five categories. RESULTS Of 109 eligible countries, 62% participated. Barriers to influenza vaccination programs included lack of data on cost-effectiveness of influenza vaccination programs (87%) and on influenza disease burden (84%), competing health priorities (80%), lack of public perceived risk from influenza (79%), need for better risk communication tools (77%), lack of financial support for influenza vaccine programs (75%), a requirement to use only WHO-prequalified vaccines (62%), and young children require two vaccine doses (60%). Activities for advancing influenza vaccination programs included educating healthcare workers (97%) and decision-makers (91%) on the benefits of influenza vaccination, better estimates of influenza disease burden (91%) and cost of influenza vaccination programs (89%), simplifying vaccine introduction by focusing on selected high-risk groups (82%), developing tools to prioritize target populations (80%), improving availability of influenza diagnostic testing (79%), and developing collaborations with neighboring countries for vaccine procurement (74%) and regulatory approval (73%). Responses varied by country region and income status. CONCLUSIONS Local governments and key international stakeholders can use the results of this survey to improve influenza vaccination programs in LMICs, which is a critical component of global pandemic preparedness for influenza and other pathogens such as coronaviruses. Additionally, strategies to improve global influenza vaccination coverage should be tailored to country income level and geographic location.
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Affiliation(s)
- Alison M Kraigsley
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA.
| | - Kristine A Moore
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Maya Peters
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Meredith Arpey
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | - Michelle Sonnenberger
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Helena C Maltezou
- Directorate of Research, Studies and Documentation, National Public Health Organization, Athens, Greece
| | - Joseph S Bresee
- The Task Force for Global Health, Atlanta, GA, USA; Centers for Disease Control and Prevention, Atlanta, GA, USA
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9
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Lagare A, Rajatonirina S, Testa J, Mamadou S. The epidemiology of seasonal influenza after the 2009 influenza pandemic in Africa: a systematic review. Afr Health Sci 2020; 20:1514-1536. [PMID: 34394213 PMCID: PMC8351825 DOI: 10.4314/ahs.v20i4.5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background Influenza infection is a serious public health problem that causes an estimated 3 to 5 million cases and 250,000 deaths worldwide every year. The epidemiology of influenza is well-documented in high- and middle-income countries, however minimal effort had been made to understand the epidemiology, burden and seasonality of influenza in Africa. This study aims to assess the state of knowledge of seasonal influenza epidemiology in Africa and identify potential data gaps for policy formulation following the 2009 pandemic. Method We reviewed articles from Africa published into four databases namely: MEDLINE (PubMed), Google Scholar, Cochrane Library and Scientific Research Publishing from 2010 to 2019. Results We screened titles and abstracts of 2070 studies of which 311 were selected for full content evaluation and 199 studies were considered. Selected articles varied substantially on the basis of the topics they addressed covering the field of influenza surveillance (n=80); influenza risk factors and co-morbidities (n=15); influenza burden (n=37); influenza vaccination (n=40); influenza and other respiratory pathogens (n=22) and influenza diagnosis (n=5). Conclusion Significant progress has been made since the last pandemic in understanding the influenza epidemiology in Africa. However, efforts still remain for most countries to have sufficient data to allow countries to prioritize strategies for influenza prevention and control.
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Affiliation(s)
- Adamou Lagare
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
| | | | - Jean Testa
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
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10
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Igboh LS, McMorrow M, Tempia S, Emukule GO, Talla Nzussouo N, McCarron M, Williams T, Weatherspoon V, Moen A, Fawzi D, Njouom R, Nakoune E, Dauoda C, Kavunga-Membo H, Okeyo M, Heraud JM, Mambule IK, Sow SO, Tivane A, Lagare A, Adebayo A, Dia N, Mmbaga V, Maman I, Lutwama J, Simusika P, Walaza S, Mangtani P, Nguipdop-Djomo P, Cohen C, Azziz-Baumgartner E. Influenza surveillance capacity improvements in Africa during 2011-2017. Influenza Other Respir Viruses 2020; 15:495-505. [PMID: 33150650 PMCID: PMC8189239 DOI: 10.1111/irv.12818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/06/2020] [Indexed: 12/14/2022] Open
Abstract
Background Influenza surveillance helps time prevention and control interventions especially where complex seasonal patterns exist. We assessed influenza surveillance sustainability in Africa where influenza activity varies and external funds for surveillance have decreased. Methods We surveyed African Network for Influenza Surveillance and Epidemiology (ANISE) countries about 2011‐2017 surveillance system characteristics. Data were summarized with descriptive statistics and analyzed with univariate and multivariable analyses to quantify sustained or expanded influenza surveillance capacity in Africa. Results Eighteen (75%) of 24 ANISE members participated in the survey; their cumulative population of 710 751 471 represent 56% of Africa's total population. All 18 countries scored a mean 95% on WHO laboratory quality assurance panels. The number of samples collected from severe acute respiratory infection case‐patients remained consistent between 2011 and 2017 (13 823 vs 13 674 respectively) but decreased by 12% for influenza‐like illness case‐patients (16 210 vs 14 477). Nine (50%) gained capacity to lineage‐type influenza B. The number of countries reporting each week to WHO FluNet increased from 15 (83%) in 2011 to 17 (94%) in 2017. Conclusions Despite declines in external surveillance funding, ANISE countries gained additional laboratory testing capacity and continued influenza testing and reporting to WHO. These gains represent important achievements toward sustainable surveillance and epidemic/pandemic preparedness.
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Affiliation(s)
- Ledor S Igboh
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,London School of Hygiene and Tropical Medicine, London, UK
| | - Meredith McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Stefano Tempia
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,MassGenics, Atlanta, GA, USA.,National Influenza Center, Johannesburg, South Africa
| | | | - Ndahwouh Talla Nzussouo
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,MassGenics, Atlanta, GA, USA.,Centers for Disease Control and Prevention, Accra, Ghana
| | - Margaret McCarron
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Thelma Williams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vashonia Weatherspoon
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | | | - Coulibaly Dauoda
- National Institute Public Hygiene/Ministry of Health, Abidjan, Cote d'Ivoire
| | - Hugo Kavunga-Membo
- Institut National de Recherche Bio-medicale, Kinshasa, Democratic Republic of Congo
| | - Mary Okeyo
- National Public Health Institute, Nairobi, Kenya
| | - Jean-Michel Heraud
- Virology Unit, National Influenza Centre, Institute Pasteur de Madagascar, Antananarivo, Madagascar
| | | | - Samba Ousmane Sow
- Central National Influenza Laboratory/Ministry of Health, Bamako, Mali
| | | | - Adamou Lagare
- Center de Recherche Medicale et Sanitaire, Niamey, Niger
| | | | - Ndongo Dia
- Institut Pasteur de Dakar, Dakar, Senegal
| | - Vida Mmbaga
- National Reference Laboratory, Dar es Salaam, Tanzania
| | - Issaka Maman
- National Influenza Reference Laboratory, Lome, Togo
| | | | - Paul Simusika
- National Influenza Center, University of Zambia Teaching Hospital, Lusaka, Zambia
| | - Sibongile Walaza
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Punam Mangtani
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Cheryl Cohen
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Eduardo Azziz-Baumgartner
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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11
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Tempia S, Walaza S, Moyes J, McMorrow ML, Cohen AL, Edoka I, Fraser H, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, McAnerney JM, Dawood H, Variava E, Cohen C. Influenza disease burden among potential target risk groups for immunization in South Africa, 2013-2015. Vaccine 2020; 38:4288-4297. [PMID: 32389494 DOI: 10.1016/j.vaccine.2020.04.045] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 04/17/2020] [Accepted: 04/18/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Data on influenza burden in risk groups for severe influenza are important to guide targeted influenza immunization, especially in resource limited settings. However, this information is limited overall and in particular in low- and middle-income countries. We sought to assess the mean annual national burden of medically and non-medically attended influenza-associated mild, severe-non-fatal and fatal illness among potential target groups for influenza immunization in South Africa during 2013-2015. METHODS We used published mean national annual estimates of mild, severe-non-fatal, and fatal influenza-associated illness in South Africa during 2013-2015 and estimated the number of such illnesses occurring among the following risk groups: (i) children aged 6-59 months; (ii) individuals aged 5-64 years with HIV, and/or pulmonary tuberculosis (PTB), and/or selected underlying medical conditions (UMC); (iii) pregnant women; and (iv) individuals aged ≥65 years. We also estimated the number of individuals among the same risk groups in the population. RESULTS During 2013-2015, individuals in the selected risk groups accounted for 45.3% (24,569,328/54,086,144) of the population and 43.5% (4,614,763/10,598,138), 86.8% (111,245/128,173) and 94.5% (10,903/11,536) of the mean annual estimated number of influenza-associated mild, severe-non-fatal and fatal illness episodes, respectively. The rates of influenza-associated illness were highest in children aged 6-59 months (23,983 per 100,000 population) for mild illness, in pregnant women (930 per 100,000 population) for severe-non-fatal illness and in individuals aged ≥65 years (138 per 100,000 population) for fatal illness. CONCLUSION Influenza immunization of the selected risk groups has the potential to prevent a substantial number of influenza-associated severe illness. Nonetheless, because of the high number of individuals at risk, South Africa, due to financial resources constrains, may need to further prioritize interventions among risk populations. Cost-burden and cost-effectiveness estimates may assist with further prioritization.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; MassGenics, Duluth, GA, United States.
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Ijeoma Edoka
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Heather Fraser
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa; Department of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa; Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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12
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Tadesse M, Mengesha M, Tayachew A, Belay D, Hassen A, Woyessa AB, Zemelak E, Beyene B, Kassa W, Ayele W, Teshome B, Mekonen M, Assefa Z, Moges B. Burden and seasonality of medically attended influenza like illness (ILI) in Ethiopia, 2012 to 2017. BMC Infect Dis 2020; 20:148. [PMID: 32070275 PMCID: PMC7029599 DOI: 10.1186/s12879-020-4827-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 01/28/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND The influenza virus spreads rapidly around the world in seasonal epidemics, resulting in significant morbidity and mortality. Influenza-related incidence data are limited in many countries in Africa despite established sentinel surveillance. This study aimed to address the information gap by estimating the burden and seasonality of medically attended influenza like illness in Ethiopia. METHOD Influenza sentinel surveillance data collected from 3 influenza like illness (ILI) and 5 Severe Acute Respiratory Illness (SARI) sites from 2012 to 2017 was used for analysis. Descriptive statistics were applied for simple analysis. The proportion of medically attended influenza positive cases and incidence rate of ILI was determined using total admitted patients and catchment area population. Seasonality was estimated based on weekly trend of ILI and predicted threshold was done by applying the "Moving Epidemic Method (MEM)". RESULT A total of 5715 medically attended influenza suspected patients who fulfills ILI and SARI case definition (77% ILI and 23% SARI) was enrolled. Laboratory confirmed influenza virus (influenza positive case) among ILI and SARI suspected case was 25% (1130/4426) and 3% (36/1289). Of which, 65% were influenza type A. The predominantly circulating influenza subtype were seasonal influenza A(H3N2) (n = 455, 60%) and Influenza A(H1N1)pdm09 (n = 293, 38.81%). The estimated mean annual influenza positive case proportion and ILI incidence rate was 160.04 and 52.48 per 100,000 population. The Incidence rate of ILI was higher in the age group of 15-44 years of age ['Incidence rate (R) = 254.6 per 100,000 population', 95% CI; 173.65, 335.55] and 5-14 years of age [R = 49.5, CI 95%; 31.47, 130.43]. The seasonality of influenza has two peak seasons; in a period from October-December and from April-June. CONCLUSION Significant morbidity of influenza like illness was observed with two peak seasons of the year and seasonal influenza A (H3N2) remains the predominantly circulating influenza subtype. Further study need to be considered to identify potential risks and improving the surveillance system to continue early detection and monitoring of circulating influenza virus in the country has paramount importance.
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Affiliation(s)
- Musse Tadesse
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia.
| | - Mesfin Mengesha
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Adamu Tayachew
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Desalegn Belay
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Abdulhafiz Hassen
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Abyot Bekele Woyessa
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Etsehiwot Zemelak
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Berhan Beyene
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Wubayehu Kassa
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Workenesh Ayele
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Bethel Teshome
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Mikias Mekonen
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Zewdu Assefa
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
| | - Beyene Moges
- Center for Public Health Emergency Management, Ethiopian Public Health Institute, PO BOX 1242, Addis Ababa, Ethiopia
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13
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Simusika P, Tempia S, Chentulo E, Polansky L, Mazaba ML, Ndumba I, Mbewe QK, Monze M. An evaluation of the Zambia influenza sentinel surveillance system, 2011-2017. BMC Health Serv Res 2020; 20:35. [PMID: 31931793 PMCID: PMC6958603 DOI: 10.1186/s12913-019-4884-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 12/30/2019] [Indexed: 08/21/2023] Open
Abstract
Background Over the past decade, influenza surveillance has been established in several African countries including Zambia. However, information on the on data quality and reliability of established influenza surveillance systems in Africa are limited. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement and provide evidence of data reliability for policy making and public health interventions. Methods We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza surveillance system (ISS) in Zambia during 2011–2017 using 9 attributes: (i) data quality and completeness, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability, (viii) utility, and (ix) sustainability. Each attribute was evaluated using pre-defined indicators. For each indicator we obtained the proportion (expressed as percentage) of the outcome of interest over the total. A scale from 1 to 3 was used to provide a score for each attribute as follows: < 60% (as obtained in the calculation above) scored 1 (weak performance); 60–79% scored 2 (moderate performance); ≥80% scored 3 (good performance). An overall score for each attribute and the ISS was obtained by averaging the scores of all evaluated attributes. Results The overall mean score for the ISS in Zambia was 2.6. Key strengths of the system were the quality of data generated (score: 2.9), its flexibility (score: 3.0) especially to monitor viral pathogens other than influenza viruses, its simplicity (score: 2.8), acceptability (score: 3.0) and stability (score: 2.6) over the review period and its relatively low cost ($310,000 per annum). Identified weaknesses related mainly to geographic representativeness (score: 2.0), timeliness (score: 2.5), especially in shipment of samples from remote sites, and sustainability (score: 1.0) in the absence of external funds. Conclusions The system performed moderately well in our evaluation. Key improvements would include improvements in the timeliness of samples shipments and geographical coverage. However, these improvements would result in increased cost and logistical complexity. The ISSS in Zambia is largely reliant on external funds and the acceptability of maintaining the surveillance system through national funds would require evaluation.
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Affiliation(s)
- Paul Simusika
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia.
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,MassGenics, Duluth, GA, USA
| | - Edward Chentulo
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Lauren Polansky
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Mazyanga Lucy Mazaba
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Idah Ndumba
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Quinn K Mbewe
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Mwaka Monze
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia.
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14
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Palekar RS, Rolfes MA, Arriola CS, Acosta BO, Guidos PA, Vargas XB, Bancej C, Ramirez JB, Baumeister E, Bruno A, Cabello MA, Chen J, Couto P, Junior FJDP, Fasce R, Ferreira de Almeida W, Solorzano VEF, Ramírez CF, Goñi N, Isaza de Moltó Y, Lara J, Malo DC, Medina Osis JL, Mejía H, Castillo LM, Mustaquim D, Nwosu A, Ojeda J, Samoya AP, Pulido PA, Ramos Hernandez HM, Lopez RR, Rodriguez A, Saboui M, Bolanos HS, Santoro A, Silvera JE, Sosa P, Sotomayor V, Suarez L, Von Horoch M, Azziz-Baumgartner E. Burden of influenza-associated respiratory hospitalizations in the Americas, 2010-2015. PLoS One 2019; 14:e0221479. [PMID: 31490961 PMCID: PMC6730873 DOI: 10.1371/journal.pone.0221479] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 08/07/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Despite having influenza vaccination policies and programs, countries in the Americas underutilize seasonal influenza vaccine, in part because of insufficient evidence about severe influenza burden. We aimed to estimate the annual burden of influenza-associated respiratory hospitalizations in the Americas. METHODS Thirty-five countries in the Americas with national influenza surveillance were invited to provide monthly laboratory data and hospital discharges for respiratory illness (International Classification of Diseases 10th edition J codes 0-99) during 2010-2015. In three age-strata (<5, 5-64, and ≥65 years), we estimated the influenza-associated hospitalizations rate by multiplying the monthly number of respiratory hospitalizations by the monthly proportion of influenza-positive samples and dividing by the census population. We used random effects meta-analyses to pool age-group specific rates and extrapolated to countries that did not contribute data, using pooled rates stratified by age group and country characteristics found to be associated with rates. RESULTS Sixteen of 35 countries (46%) contributed primary data to the analyses, representing 79% of the America's population. The average pooled rate of influenza-associated respiratory hospitalization was 90/100,000 population (95% confidence interval 61-132) among children aged <5 years, 21/100,000 population (13-32) among persons aged 5-64 years, and 141/100,000 population (95-211) among persons aged ≥65 years. We estimated the average annual number of influenza-associated respiratory hospitalizations in the Americas to be 772,000 (95% credible interval 716,000-829,000). CONCLUSIONS Influenza-associated respiratory hospitalizations impose a heavy burden on health systems in the Americas. Countries in the Americas should use this information to justify investments in seasonal influenza vaccination-especially among young children and the elderly.
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Affiliation(s)
- Rakhee S. Palekar
- Pan American Health Organization/World Health Organization, Washington, DC, United States of America
- * E-mail:
| | - Melissa A. Rolfes
- Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - C. Sofia Arriola
- Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Belsy O. Acosta
- Department of Virology, “Pedro Kouri” Institute of Tropical Medicine, Havana, Cuba
| | | | | | | | | | - Elsa Baumeister
- National Reference Laboratory for Viral Respiratory Infections and National Influenza Center, Buenos Aires, Argentina
| | - Alfredo Bruno
- National Institute of Public Health Research, Guayaquil, Ecuador
| | | | - Jufu Chen
- Centers for Disease Control and Prevention, Atlanta, GA, United States of America
- Battelle Memorial Institute, Atlanta, GA, United States of America
| | - Paula Couto
- Pan American Health Organization/World Health Organization, Washington, DC, United States of America
| | | | | | | | | | | | - Natalia Goñi
- Department of Public Health Laboratories, Montevideo, Uruguay
| | | | - Jenny Lara
- Costa Rican Institute of Research and Education in Nutrition and Health, Cartago, Costa Rica
| | | | - José L. Medina Osis
- National Center of Epidemiology, Prevention, and Control of Diseases, Lima, Peru
| | | | | | - Desiree Mustaquim
- Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | | | | | | | | | | | | | - Angel Rodriguez
- Pan American Health Organization/World Health Organization, Washington, DC, United States of America
| | | | | | - Adrián Santoro
- Directorate of Statistics and Health Information, Buenos Aires, Argentina
| | | | - Paulina Sosa
- Pan American Health Organization/World Health Organization, Washington, DC, United States of America
| | | | | | - Marta Von Horoch
- Ministry of Public Health and Social Welfare, Asuncion, Paraguay
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15
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Tempia S, Walaza S, Moyes J, Cohen AL, McMorrow ML, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, Nguweneza A, McAnerney JM, Dawood H, Variava E, Madhi SA, Cohen C. Quantifying How Different Clinical Presentations, Levels of Severity, and Healthcare Attendance Shape the Burden of Influenza-associated Illness: A Modeling Study From South Africa. Clin Infect Dis 2019; 69:1036-1048. [PMID: 30508065 PMCID: PMC7804385 DOI: 10.1093/cid/ciy1017] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 11/29/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Burden estimates of medically and nonmedically attended influenza-associated illness across syndromes and levels of severity are lacking. METHODS We estimated the national burden of medically and nonmedically attended influenza-associated illness among individuals with different clinical presentations (all-respiratory, all-circulatory, and nonrespiratory/noncirculatory) and levels of severity (mild, fatal, and severe, nonfatal) using a combination of case-based (from laboratory-confirmed influenza surveillance) and ecological studies, as well as data from healthcare utilization surveys in South Africa during 2013-2015. In addition, we compared estimates of medically attended influenza-associated respiratory illness, obtained from case-based and ecological studies. Rates were reported per 100 000 individuals in the population. RESULTS The estimated mean annual number of influenza-associated illness episodes was 10 737 847 (19.8% of 54 096 705 inhabitants). Of these episodes, 10 598 138 (98.7%) were mild, 128 173 (1.2%) were severe, nonfatal, and 11 536 (0.1%) were fatal. There were 2 718 140 (25.6%) mild, 56 226 (43.9%) severe, nonfatal, and 4945 (42.8%) medically attended should be after fatal episodes. Influenza-associated respiratory illness accounted for 99.2% (10 576 146) of any mild, 65.5% (83 941) of any severe, nonfatal, and 33.7% (3893) of any fatal illnesses. Ecological and case-based estimates of medically attended, influenza-associated, respiratory mild (rates: ecological, 1778.8, vs case-based, 1703.3; difference, 4.4%), severe, nonfatal (rates: ecological, 88.6, vs case-based, 75.3; difference, 15.0%), and fatal (rates: ecological, 3.8, vs case-based, 3.5; difference, 8.4%) illnesses were similar. CONCLUSIONS There was a substantial burden of influenza-associated symptomatic illness, including severe, nonfatal and fatal illnesses, and a large proportion was nonmedically attended. Estimates, including only influenza-associated respiratory illness, substantially underestimated influenza-associated, severe, nonfatal and fatal illnesses. Ecological and case-based estimates were found to be similar for the compared categories.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Global Immunization Monitoring and Surveillance Team, Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Arthemon Nguweneza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, South Africa
- Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, South Africa
- Department of Medicine, Faculty of Health Sciences, South Africa
- Perinatal Human Immunodeficiency Virus Research Unit, South Africa
| | - Shabir A Madhi
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, South Africa
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Emukule GO, Namagambo B, Owor N, Bakamutumaho B, Kayiwa JT, Namulondo J, Byaruhanga T, Tempia S, Chaves SS, Lutwama JJ. Influenza-associated pneumonia hospitalizations in Uganda, 2013-2016. PLoS One 2019; 14:e0219012. [PMID: 31306466 PMCID: PMC6629074 DOI: 10.1371/journal.pone.0219012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 06/13/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Influenza is an important contributor to acute respiratory illness, including pneumonia, and results in substantial morbidity and mortality globally. Understanding the local burden of influenza-associated severe disease can inform decisions on allocation of resources toward influenza control programs. Currently, there is no national influenza vaccination program in Uganda. METHODS In this study, we used data on pneumonia hospitalizations that were collected and reported through the Health Management Information System (HMIS) of the Ministry of Health, Uganda, and the laboratory-confirmed influenza positivity data from severe acute respiratory illness (SARI) surveillance in three districts (Wakiso, Mbarara, and Tororo) to estimate the age-specific incidence of influenza-associated pneumonia hospitalizations from January 2013 through December 2016. RESULTS The overall estimated mean annual rate of pneumonia hospitalizations in the three districts was 371 (95% confidence interval [CI] 323-434) per 100,000 persons, and was highest among children aged <5 years (1,524 [95% CI 1,286-1,849]) compared to persons aged ≥5 years (123 [95% CI 105-144]) per 100,000 persons. The estimated mean annual rate of influenza-associated pneumonia hospitalization was 34 (95% CI 23-48) per 100,000 persons (116 [95% CI 78-165] and 16 [95% CI 6-28] per 100,000 persons among children aged <5 years and those ≥5 years, respectively). Among children aged <5 years, the rate of hospitalized influenza-associated pneumonia was highest among those who were <2 years old (178 [95% CI 109-265] per 100,000 persons). Over the period of analysis, the estimated mean annual number of hospitalized influenza-associated pneumonia cases in the three districts ranged between 672 and 1,436, of which over 70% represent children aged <5 years. CONCLUSIONS The burden of influenza-associated pneumonia hospitalizations was substantial in Uganda, and was highest among young children aged <5 years. Influenza vaccination may be considered, especially for very young children.
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Affiliation(s)
- Gideon O. Emukule
- Centers for Disease Control and Prevention, Kenya Country Office, Nairobi, Kenya
| | - Barbara Namagambo
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Nicholas Owor
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Barnabas Bakamutumaho
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - John T. Kayiwa
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Joyce Namulondo
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Timothy Byaruhanga
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Stefano Tempia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sandra S. Chaves
- Centers for Disease Control and Prevention, 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
| | - Julius J. Lutwama
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
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Yu J, Zhang X, Shan W, Gao J, Hua J, Tian J, Ding Y, Zhang J, Chen L, Song Y, Zhou S, Iuliano AD, Greene CM, Zhang T, Zhao G. Influenza-associated Hospitalization in Children Younger Than 5 Years of Age in Suzhou, China, 2011-2016. Pediatr Infect Dis J 2019; 38:445-452. [PMID: 30153228 PMCID: PMC6501799 DOI: 10.1097/inf.0000000000002178] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Studying the burden and risk factors associated with severe illness from influenza infection in young children in eastern China will contribute to future cost-effectiveness analyses of local influenza vaccine programs. METHODS We conducted prospective, severe acute respiratory infection (SARI) surveillance at Suzhou University-Affiliated Children's Hospital to estimate influenza-associated hospitalizations in Suzhou University-Affiliated Children's Hospital by month in children younger than 5 years of age from October 2011 to September 2016. SARI was defined as fever (measured axillary temperature ≥ 38°C) and cough or sore throat or inflamed/red pharynx in the 7 days preceding hospitalization. We combined SARI surveillance data with healthcare utilization survey data to estimate and characterize the burden of influenza-associated SARI hospitalizations in Suzhou within this age group in the 5-year period. RESULTS Of the 36,313 SARI cases identified, 2,297 from respiratory wards were systematically sampled; of these, 259 (11%) were influenza positive. Estimated annual influenza-associated SARI hospitalization rates per 1,000 children younger than 5 years of age ranged from 4 (95% confidence interval [CI], 2-5) in the 2012-2013 season to 16 (95% CI, 14-19) in the 2011-2012 season. The predominant viruses were A/H3N2 (59%) in 2011-12, both A/H1N1pdm09 (42%) and B (46%) in 2012-13, A/H3N2 (71%) in 2013-14, A/H3N2 (55%) in 2014-15 and both A/H1N1pdm09 (50%) and B (50%) in 2015-16. The age-specific influenza-associated SARI hospitalization rates for the 5-year period were 11 (95% CI, 8-15) per 1,000 children 0-5 months of age; 8 (95% CI, 7-10) per 1,000 children 6-23 months of age and 5 (95% CI, 4-5) per 1,000 children 24-59 months of age, respectively. CONCLUSIONS From 2011 to 2016, influenza-associated SARI hospitalization rates in children aged younger than 5 years of age in Suzhou, China, were high, particularly among children 0-5 months of age. Higher hospitalization rates were observed in years where the predominant circulating virus was influenza A/H3N2. Immunization for children > 6 months, and maternal and caregiver immunization for those < 6 months, could reduce influenza-associated hospitalizations in young children in Suzhou.
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Affiliation(s)
- Jia Yu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xiyan Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Wei Shan
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Junmei Gao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jun Hua
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Jianmei Tian
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Yunfang Ding
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Liling Chen
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Ying Song
- Centers for Disease Control and Prevention, Atlanta, GA
| | - Suizan Zhou
- Centers for Disease Control and Prevention, Atlanta, GA
| | | | | | - Tao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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Phiri M, Gooding K, Peterson I, Mambule I, Nundwe S, McMorrow M, Desmond N. Dust or disease? Perceptions of influenza in rural Southern Malawi. PLoS One 2019; 14:e0208155. [PMID: 31009480 PMCID: PMC6476467 DOI: 10.1371/journal.pone.0208155] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 04/05/2019] [Indexed: 01/10/2023] Open
Abstract
Influenza virus infections cause between 291 243 and 645 832 deaths annually, with the highest burden in low-income settings. Research in high-income countries has examined public understanding of influenza, but there is little information on views and behaviours about influenza in low-income countries. We explored communities' ideas about the severity, causes, prevention and treatment of influenza in Chikwawa district, Malawi. We conducted 64 in-depth interviews with parents of children aged <5 years, and 7 focus groups with community health workers, parents, and traditional healers. Data were analysed thematically and using a framework matrix to compare views between groups. Respondents held varied ideas about influenza, and many were uncertain about its causes and treatment. Some parents, traditional healers and health workers thought influenza was not severe because they felt it did not cause death or limit activities, but others disagreed. Many saw influenza as a symptom of other conditions, especially malaria and pneumonia, rather than as a disease of its own. Most mentioned dust as the main cause of influenza and believed influenza could be prevented by cleaning the home thoroughly. Treatment seeking for influenza followed different stages, usually starting with home remedies followed by purchasing drugs from groceries and then visiting a health centre. Seeking a clinician tended to be triggered by severe symptoms like high fever or difficulty breathing, and suspicions of malaria or pneumonia. Community health workers provide health education for communities, but some lacked understanding of influenza. Our findings suggest uncertainty about the causes and control of influenza among parents and varied levels of understanding among health providers. Strengthening the capacity of community health workers to provide relevant information about influenza prevention and treatment could address parents' interest in further information and support informed health seeking and engagement with future influenza interventions.
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Affiliation(s)
- Mackwellings Phiri
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
| | - Kate Gooding
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Ingrid Peterson
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Ivan Mambule
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Spencer Nundwe
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
| | - Meredith McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
- U.S. Public Health Service, Rockville, Maryland, United States of America
| | - Nicola Desmond
- Malawi Liverpool Welcome Trust Clinical Research Programme, Chichiri, Blantyre 3, Malawi
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
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Rabarison JH, Tempia S, Harimanana A, Guillebaud J, Razanajatovo NH, Ratsitorahina M, Heraud JM. Burden and epidemiology of influenza- and respiratory syncytial virus-associated severe acute respiratory illness hospitalization in Madagascar, 2011-2016. Influenza Other Respir Viruses 2018; 13:138-147. [PMID: 30596225 PMCID: PMC6379640 DOI: 10.1111/irv.12557] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2018] [Indexed: 12/01/2022] Open
Abstract
Background Influenza and respiratory syncytial virus (RSV) infections are responsible for substantial global morbidity and mortality in young children and elderly individuals. Estimates of the burden of influenza‐ and RSV‐associated hospitalization are limited in Africa. Methods We conducted hospital‐based surveillance for laboratory‐confirmed influenza‐ and RSV‐associated severe acute respiratory illness (SARI) among patients of any age at one hospital and a retrospective review of SARI hospitalizations in five hospitals situated in Antananarivo during 2011‐2016. We estimated age‐specific rates (per 100 000 population) of influenza‐ and RSV‐associated SARI hospitalizations for the Antananarivo region and then extrapolated these rates to the national level. Results Overall, the mean annual national number of influenza‐associated SARI hospitalizations for all age groups was 6609 (95% CI: 5381‐7835‐rate: 30.0; 95% CI: 24.4‐35.6), 4468 (95% CI: 3796‐5102‐rate: 127.6; 95% CI: 108.4‐145.7), 2141 (95% CI: 1585‐2734‐rate: 11.6; 95% CI: 8.6‐14.8), and 339 (95% CI: 224‐459‐rate: 50.0; 95% CI: 36.3‐74.4) among individuals aged <5, ≥5, and ≥65 years, respectively. For these same age groups, the mean annual number of RSV‐associated SARI hospitalizations was 11 768 (95% CI: 10 553‐12 997‐rate: 53.4; 95% CI: 47.9‐59.0), 11 299 (95% CI: 10 350‐12 214‐rate: 322.7; 95% CI: 295.6‐348.8), 469 (95% CI: 203‐783‐rate: 2.5;95% CI: 1.1‐4.2), and 36 (95% CI: 0‐84‐rate: 5.8; 0.0‐13.5), respectively. Conclusion The burden of influenza‐ and RSV‐associated SARI hospitalization was high among children aged <5 years. These first estimates for Madagascar will enable government to make informed evidence‐based decisions when allocating scarce resources and planning intervention strategies to limit the impact and spread of these viruses.
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Affiliation(s)
| | - Stefano Tempia
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.,Centers for Disease Control and Prevention-South Africa, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Aina Harimanana
- Epidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Julia Guillebaud
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Norosoa H Razanajatovo
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Maherisoa Ratsitorahina
- Direction de la Veille Sanitaire et de la Surveillance Epidemiologique, Ministry of Public Health, Antananarivo, Madagascar
| | - Jean-Michel Heraud
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
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Dawa J, Chaves SS, Ba Nguz A, Kalani R, Anyango E, Mutie D, Muthoka P, Tabu C, Maritim M, Amukoye E, Were F. Developing a seasonal influenza vaccine recommendation in Kenya: Process and challenges faced by the National Immunization Technical Advisory Group (NITAG). Vaccine 2018; 37:464-472. [PMID: 30502070 DOI: 10.1016/j.vaccine.2018.11.062] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND In 2014 the Kenya National Immunization Technical Advisory Group (KENITAG) was asked by the Ministry of Health to provide an evidence-based recommendation on whether the seasonal influenza vaccine should be introduced into the national immunization program (NIP). METHODS We reviewed KENITAG manuals, reports and meeting minutes generated between June 2014 and June 2016 in order to describe the process KENITAG used in arriving at that recommendation and the challenges encountered. RESULTS KENITAG developed a recommendation framework to identify critical, important and non-critical data elements that would guide deliberations on the subject. Literature searches were conducted in several databases and the quality of scientific articles obtained was assessed using the Critical Appraisal Skills Programme tool. There were significant gaps in knowledge on the national burden of influenza disease among key risk groups, i.e., pregnant women, individuals with co-morbidities, the elderly and health care workers. Insufficient funding and limited work force hindered KENITAG activities. In 2016 KENITAG recommended introduction of the annual seasonal influenza vaccine among children 6 to 23 months of age. However, the recommendation was contingent on implementation of a pilot study to address gaps in local data on the socio-economic impact of influenza vaccination programs, strategies for vaccine delivery, and the impact of the vaccination program on the healthcare workforce and existing immunization program. KENITAG did not recommend the influenza vaccine for any other risk group due to lack of local burden of disease data. CONCLUSION Local data are a critical element in NITAG deliberations, however, where local data and in particular burden of disease data are lacking, there is need to adopt scientifically acceptable methods of utilizing findings from other countries to inform local decisions in a manner that is valid and acceptable to decision makers.
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Affiliation(s)
- Jeanette Dawa
- Supporting Independent Immunization and Vaccine Advisory Committees (SIVAC) Initiative, Agency for Preventive Medicine (AMP), Paris, France.
| | - Sandra S Chaves
- Centers for Disease Control and Prevention, Nairobi, Kenya; Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Antoinette Ba Nguz
- Supporting Independent Immunization and Vaccine Advisory Committees (SIVAC) Initiative, Agency for Preventive Medicine (AMP), Paris, France
| | - Rosalia Kalani
- Disease Surveillance and Response Unit, Ministry of Health, Kenya; Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Edwina Anyango
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Dominic Mutie
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Phillip Muthoka
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Collins Tabu
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Marybeth Maritim
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Evans Amukoye
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Fred Were
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
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Razanajatovo NH, Guillebaud J, Harimanana A, Rajatonirina S, Ratsima EH, Andrianirina ZZ, Rakotoariniaina H, Andriatahina T, Orelle A, Ratovoson R, Irinantenaina J, Rakotonanahary DA, Ramparany L, Randrianirina F, Richard V, Heraud JM. Epidemiology of severe acute respiratory infections from hospital-based surveillance in Madagascar, November 2010 to July 2013. PLoS One 2018; 13:e0205124. [PMID: 30462659 PMCID: PMC6248916 DOI: 10.1371/journal.pone.0205124] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 09/19/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Few comprehensive data exist regarding the epidemiology of severe acute respiratory infections (SARI) in low income countries. This study aimed at identifying etiologies and describing clinical features of SARI-associated hospitalization in Madagascar. METHODS It is a prospective surveillance of SARI in 2 hospitals for 3 years. Nasopharyngeal swabs, sputum, and blood were collected from SARI patients enrolled and tested for viruses and bacteria. Epidemiological and clinical information were obtained from case report forms. RESULTS Overall, 876 patients were enrolled in the study, of which 83.1% (728/876) were tested positive for at least one pathogen. Viral and bacterial infections occurred in 76.1% (667/876) and 35.8% (314/876) of tested samples, respectively. Among all detected viruses, respiratory syncytial virus (RSV) was the most common (37.7%; 348/924) followed by influenza virus A (FLUA, 18.4%; 170/924), rhinovirus (RV, 13.5%; 125/924), and adenovirus (ADV, 8.3%; 77/924). Among bacteria, Streptococcus pneumoniae (S. pneumoniae, 50.3%, 189/370) was the most detected followed by Haemophilus influenzae type b (Hib, 21.4%; 79/370), and Klebsiella (4.6%; 17/370). Other Streptococcus species were found in 8.1% (30/370) of samples. Compared to patients aged less than 5 years, older age groups were significantly less infected with RSV. On the other hand, patients aged more than 64 years (OR = 3.66) were at higher risk to be infected with FLUA, while those aged 15-29 years (OR = 3.22) and 30-64 years (OR = 2.39) were more likely to be infected with FLUB (influenza virus B). CONCLUSION The frequency of influenza viruses detected among SARI patients aged 65 years and more highlights the need for health authorities to develop strategies to reduce morbidity amongst at-risk population through vaccine recommendation. Amongst young children, the demonstrated burden of RSV should guide clinicians for a better case management of children. These findings reveal the need to develop point-of-care tests to avoid overuse of antibiotics and to promote vaccine that could reduce drastically the RSV hospitalizations.
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Affiliation(s)
| | - Julia Guillebaud
- National Influenza Centre, Virology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | - Aina Harimanana
- Epidemiology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | | | | | | | | | | | - Arnaud Orelle
- National Influenza Centre, Virology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | - Rila Ratovoson
- Epidemiology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | | | | | - Lovasoa Ramparany
- Center for Biological Analysis, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | | | - Vincent Richard
- Epidemiology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
| | - Jean-Michel Heraud
- National Influenza Centre, Virology Unit, Pasteur Institute of Madagascar, Antananarivo, Madagascar
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National burden of influenza-associated hospitalizations in Cambodia, 2015 and 2016. Western Pac Surveill Response J 2018; 9:44-52. [PMID: 31832253 PMCID: PMC6902650 DOI: 10.5365/wpsar.2018.9.5.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Introduction The burden of influenza in Cambodia is not well known, but it would be useful for understanding the impact of seasonal epidemics and pandemics and to design appropriate policies for influenza prevention and control. The severe acute respiratory infection (SARI) surveillance system in Cambodia was used to estimate the national burden of SARI hospitalizations in Cambodia. Methods We estimated age-specific influenza-associated SARI hospitalization rates in three sentinel sites in Svay Rieng, Siem Reap and Kampong Cham provinces. We used influenza-associated SARI surveillance data for one year to estimate the numerator and hospital admission surveys to estimate the population denominator for each site. A national influenza-associated SARI hospitalization rate was calculated using the pooled influenza-associated SARI hospitalizations for all sites as a numerator and the pooled catchment population of all sites as denominator. National influenza-associated SARI case counts were estimated by applying hospitalization rates to the national population. Results The national annual rates of influenza-associated hospitalizations per 100 000 population was highest for the two youngest age groups at 323 for < 1 year and 196 for 1–4 years. We estimated 7547 influenza-associated hospitalizations for Cambodia with almost half of these represented by children younger than 5 years. Discussion We present national estimates of influenza-associated SARI hospitalization rates for Cambodia based on sentinel surveillance data from three sites. The results of this study indicate that the highest burden of severe influenza infection is borne by the younger age groups. These findings can be used to guide future strategies to reduce influenza morbidity.
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Babakazo P, Lubula L, Disasuani W, Manya LK, Nkwembe E, Mitongo N, Kavunga-Membo H, Changachanga JC, Muhemedi S, Ilunga BK, Wemakoy EO, Tamfum JJM, Kabamba-Tshilobo J, Tempia S. The national and provincial burden of medically attended influenza-associated influenza-like illness and severe acute respiratory illness in the Democratic Republic of Congo, 2013-2015. Influenza Other Respir Viruses 2018; 12:695-705. [PMID: 30120818 PMCID: PMC6185889 DOI: 10.1111/irv.12601] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/01/2018] [Accepted: 08/08/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Estimates of influenza-associated outpatient consultations and hospitalizations are severely limited in low- and middle-income countries, especially in Africa. METHODS We conducted active prospective surveillance for influenza-like illness (ILI) and severe acute respiratory illness (SARI) at 5 healthcare facilities situated in Kinshasa Province during 2013-2015. We tested upper respiratory tract samples for influenza viruses using a reverse transcription-polymerase chain reaction assay. We estimated age-specific numbers and rates of influenza-associated ILI outpatient consultations and SARI hospitalizations for Kinshasa Province using a combination of administrative and influenza surveillance data. These estimates were extrapolated to each of the remaining 10 provinces accounting for provincial differences in prevalence of risk factors for pneumonia and healthcare-seeking behavior. Rates were reported per 100 000 population. RESULTS During 2013-2015, the mean annual national number of influenza-associated ILI outpatient consultations was 1 003 212 (95% Confidence Incidence [CI]: 719 335-1 338 050 - Rate: 1205.3; 95% CI: 864.2-1607.5); 199 839 (95% CI: 153 563-254 759 - Rate: 1464.0; 95% CI: 1125.0-1866.3) among children aged <5 years and 803 374 (95% CI: 567 772-1 083 291 - Rate: 1154.5; 95% CI: 813.1-1556.8) among individuals aged ≥5 years. The mean annual national number of influenza-associated SARI hospitalizations was 40 361 (95% CI: 24 014-60 514 - Rate: 48.5; 95% CI: 28.9-72.7); 25 452 (95% CI: 19 146-32 944 - Rate: 186.5; 95% CI: 140.3-241.3) among children aged <5 years and 14 909 (95% CI: 4868-27 570 - Rate: 21.4; 95% CI: 28.9-72.7) among individuals aged ≥5 years. CONCLUSIONS The burden of influenza-associated ILI outpatient consultations and SARI hospitalizations was substantial and was highest among hospitalized children aged <5 years.
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Affiliation(s)
- Pélagie Babakazo
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Léopold Lubula
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Wally Disasuani
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Léonie Kitoko Manya
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Edith Nkwembe
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Naomi Mitongo
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Hugo Kavunga-Membo
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Jean-Claude Changachanga
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Saleh Muhemedi
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Benoit Kebela Ilunga
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Emile Okitolonda Wemakoy
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | | | - Joelle Kabamba-Tshilobo
- Influenza and Monkeypox Program, Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,MassGenics, Duluth, Georgia
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24
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Ahmed M, Roguski K, Tempia S, Iuliano AD. Reply to Alonso et al. "Bangladesh and Rwanda: Cases of high burden of influenza in tropical countries?". Influenza Other Respir Viruses 2018; 12:669-671. [PMID: 29858873 PMCID: PMC6086846 DOI: 10.1111/irv.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Makhdum Ahmed
- International Centre for Diarrheal Disease Research, Dhaka, Bangladesh.,Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Angela D Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
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25
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Lee VJ, Ho ZJM, Goh EH, Campbell H, Cohen C, Cozza V, Fitzner J, Jara J, Krishnan A, Bresee J. Advances in measuring influenza burden of disease. Influenza Other Respir Viruses 2018; 12:3-9. [PMID: 29460425 PMCID: PMC5818353 DOI: 10.1111/irv.12533] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2017] [Indexed: 12/16/2022] Open
Affiliation(s)
- Vernon J. Lee
- Ministry of HealthSingaporeSingapore
- Saw Swee Hock School of Public HealthNational University of SingaporeSingaporeSingapore
| | | | | | - Harry Campbell
- Centre for Global Health ResearchUsher Institute of Population Health SciencesUniversity of EdinburghEdinburghUK
| | - Cheryl Cohen
- Division of the National Laboratory ServiceCentre for Respiratory Diseases and MeningitisNational Institute for Communicable DiseasesJohannesburgSouth Africa
- Wits School of Public HealthUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Vanessa Cozza
- Global Influenza ProgrammeWorld Health OrganizationGenevaSwitzerland
| | - Julia Fitzner
- Global Influenza ProgrammeWorld Health OrganizationGenevaSwitzerland
| | - Jorge Jara
- Center for Health Studies, Research InstituteUniversidad del Valle de GuatemalaGuatemala CityGuatemala
| | - Anand Krishnan
- Centre for Community MedicineAll India Institute of Medical SciencesNew DelhiIndia
| | - Joseph Bresee
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGAUSA
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26
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Nyamusore J, Rukelibuga J, Mutagoma M, Muhire A, Kabanda A, Williams T, Mutoni A, Kamwesiga J, Nyatanyi T, Omolo J, Kabeja A, Koama JB, Mukarurangwa A, Umuringa JD, Granados C, Gasana M, Moen A, Tempia S. The national burden of influenza-associated severe acute respiratory illness hospitalization in Rwanda, 2012-2014. Influenza Other Respir Viruses 2017; 12:38-45. [PMID: 29197152 PMCID: PMC5818355 DOI: 10.1111/irv.12494] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2017] [Indexed: 11/30/2022] Open
Abstract
Background Estimates of influenza‐associated hospitalization are severely limited in low‐ and middle‐income countries, especially in Africa. Objectives To estimate the national number of influenza‐associated severe acute respiratory illness (SARI) hospitalization in Rwanda. Methods We multiplied the influenza virus detection rate from influenza surveillance conducted at 6 sentinel hospitals by the national number of respiratory hospitalization obtained from passive surveillance after adjusting for underreporting and reclassification of any respiratory hospitalizations as SARI during 2012‐2014. The population at risk was obtained from projections of the 2012 census. Bootstrapping was used for the calculation of confidence intervals (CI) to account for the uncertainty associated with all levels of adjustment. Rates were expressed per 100 000 population. A sensitivity analysis using a different estimation approach was also conducted. Results SARI cases accounted for 70.6% (9759/13 813) of respiratory admissions at selected hospitals: 77.2% (6783/8786) and 59.2% (2976/5028) among individuals aged <5 and ≥5 years, respectively. Overall, among SARI cases tested, the influenza virus detection rate was 6.3% (190/3022): 5.7% (127/2220) and 7.8% (63/802) among individuals aged <5 and ≥5 years, respectively. The estimated mean annual national number of influenza‐associated SARI hospitalizations was 3663 (95% CI: 2930‐4395—rate: 34.7; 95% CI: 25.4‐47.7): 2637 (95% CI: 2110‐3164—rate: 168.7; 95% CI: 135.0‐202.4) among children aged <5 years and 1026 (95% CI: 821‐1231—rate: 11.3; 95% CI: 9.0‐13.6) among individuals aged ≥5 years. The estimates obtained from both approaches were not statistically different (overlapping CIs). Conclusions The burden of influenza‐associated SARI hospitalizations was substantial and was highest among children aged <5 years.
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Affiliation(s)
- José Nyamusore
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Joseph Rukelibuga
- Influenza Program, Centers for Disease Control and Prevention, Kigali, Rwanda
| | - Mwumvaneza Mutagoma
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Andrew Muhire
- Health Management Information System Division, Ministry of Health, Kigali, Rwanda
| | - Alice Kabanda
- National Reference Laboratory, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Thelma Williams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Angela Mutoni
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Julius Kamwesiga
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Thierry Nyatanyi
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Jared Omolo
- Influenza Program, Centers for Disease Control and Prevention, Kigali, Rwanda
| | - Adeline Kabeja
- Epidemic Surveillance and Response Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Jean Baptiste Koama
- Influenza Program, Centers for Disease Control and Prevention, Kigali, Rwanda
| | - Agrippine Mukarurangwa
- National Reference Laboratory, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Jeanne d'Arc Umuringa
- National Reference Laboratory, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Carolina Granados
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Michel Gasana
- Institute of HIV/AIDS, Disease Prevention and Control, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda
| | - Ann Moen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
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