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Ishige T, Shimizu T, Watanabe K, Arai K, Kamei K, Kudo T, Kunisaki R, Tokuhara D, Naganuma M, Mizuochi T, Murashima A, Inoki Y, Iwata N, Iwama I, Koinuma S, Shimizu H, Jimbo K, Takaki Y, Takahashi S, Cho Y, Nambu R, Nishida D, Hagiwara SI, Hikita N, Fujikawa H, Hosoi K, Hosomi S, Mikami Y, Miyoshi J, Yagi R, Yokoyama Y, Hisamatsu T. Expert consensus on vaccination in patients with inflammatory bowel disease in Japan. J Gastroenterol 2023; 58:135-157. [PMID: 36629948 PMCID: PMC9838549 DOI: 10.1007/s00535-022-01953-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023]
Abstract
Immunosuppressive therapies can affect the immune response to or safety of vaccination in patients with inflammatory bowel disease (IBD). The appropriateness of vaccination should be assessed prior to the initiation of IBD treatment because patients with IBD frequently undergo continuous treatment with immunosuppressive drugs. This consensus was developed to support the decision-making process regarding appropriate vaccination for pediatric and adult patients with IBD and physicians by providing critical information according to the published literature and expert consensus about vaccine-preventable diseases (VPDs) [excluding cervical cancer and coronavirus disease 2019 (COVID-19)] in Japan. This consensus includes 19 important clinical questions (CQs) on the following 4 topics: VPDs (6 CQs), live attenuated vaccines (2 CQs), inactivated vaccines (6 CQs), and vaccination for pregnancy, childbirth, and breastfeeding (5 CQs). These topics and CQs were selected under unified consensus by the members of a committee on intractable diseases with support by a Health and Labour Sciences Research Grant. Physicians should provide necessary information on VPDs to their patients with IBD and carefully manage these patients' IBD if various risk factors for the development or worsening of VPDs are present. This consensus will facilitate informed and shared decision-making in daily IBD clinical practice.
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Affiliation(s)
- Takashi Ishige
- Department of Pediatrics, Gunma University Graduate School of Medicine, 3-39-22, Showa-Machi, Maebashi, Gunma, 371-8511, Japan.
| | - Toshiaki Shimizu
- Department of Pediatrics and Adolescent Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenji Watanabe
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Katsuhiro Arai
- Division of Gastroenterology, Center for Pediatric Inflammatory Bowel Disease, National Center for Child Health and Development, Tokyo, Japan
| | - Koichi Kamei
- Division of Nephrology and Rheumatology, National Center for Child Health and Development, Tokyo, Japan
| | - Takahiro Kudo
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Reiko Kunisaki
- Inflammatory Bowel Disease Center, Yokohama City University Medical Center, Yokohama, Japan
| | - Daisuke Tokuhara
- Department of Pediatrics, Wakayama Medical University, Wakayama, Japan
| | - Makoto Naganuma
- Department of Gastroenterology and Hepatology, Kansai Medical University, Osaka, Japan
| | - Tatsuki Mizuochi
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Fukuoka, Japan
| | - Atsuko Murashima
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center of Child Health and Development, Tokyo, Japan
| | - Yuta Inoki
- Division of Nephrology and Rheumatology, National Center for Child Health and Development, Tokyo, Japan
| | - Naomi Iwata
- Department of Infection and Immunology, Aichi Children's Health and Medical Center, Obu, Japan
| | - Itaru Iwama
- Division of Gastroenterology and Hepatology, Saitama Children's Medical Center, Saitama, Japan
| | - Sachi Koinuma
- Japan Drug Information Institute in Pregnancy, National Center of Child Health and Development, Tokyo, Japan
| | - Hirotaka Shimizu
- Division of Gastroenterology, Center for Pediatric Inflammatory Bowel Disease, National Center for Child Health and Development, Tokyo, Japan
| | - Keisuke Jimbo
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Yugo Takaki
- Department of Pediatrics, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan
| | - Shohei Takahashi
- Department of Pediatrics, Kyorin University School of Medicine, Tokyo, Japan
| | - Yuki Cho
- Department of Pediatrics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Ryusuke Nambu
- Division of Gastroenterology and Hepatology, Saitama Children's Medical Center, Saitama, Japan
| | - Daisuke Nishida
- Inflammatory Bowel Disease Center, Yokohama City University Medical Center, Yokohama, Japan
| | - Shin-Ichiro Hagiwara
- Department of Pediatric Gastroenterology, Nutrition and Endocrinology, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Norikatsu Hikita
- Department of Pediatrics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hiroki Fujikawa
- Division of Gastroenterology, Center for Pediatric Inflammatory Bowel Disease, National Center for Child Health and Development, Tokyo, Japan
| | - Kenji Hosoi
- Division of Gastroenterology, Tokyo Metro Children's Medical Center, Tokyo, Japan
| | - Shuhei Hosomi
- Department of Gastroenterology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Yohei Mikami
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Jun Miyoshi
- Department of Gastroenterology and Hepatology, Kyorin University School of Medicine, Tokyo, Japan
| | - Ryusuke Yagi
- Department of Pediatrics, Gunma University Graduate School of Medicine, 3-39-22, Showa-Machi, Maebashi, Gunma, 371-8511, Japan
| | - Yoko Yokoyama
- Department of Intestinal Inflammation Research, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Tadakazu Hisamatsu
- Department of Gastroenterology and Hepatology, Kyorin University School of Medicine, Tokyo, Japan
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Regan AK, Arriola CS, Couto P, Duca L, Loayza S, Nogareda F, de Almeida WAF, Antman J, Araya S, Avendaño Vigueras MA, Battaglia Paredes SC, Brstilo IF, Bustos P, Fandiño ME, Fasce R, Giovacchini CM, González Caro CI, von Horoch M, Del Valle Juarez M, Katz N, Olivares MF, da Silva DA, da Silva ET, Sotomayor V, Vergara N, Azziz-Baumgartner E, Ropero AM. Severity of influenza illness by seasonal influenza vaccination status among hospitalised patients in four South American countries, 2013-19: a surveillance-based cohort study. THE LANCET. INFECTIOUS DISEASES 2023; 23:222-232. [PMID: 36206790 PMCID: PMC9876808 DOI: 10.1016/s1473-3099(22)00493-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/01/2022] [Accepted: 07/08/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Although several studies have reported attenuated influenza illness following influenza vaccination, results have been inconsistent and have focused predominantly on adults in the USA. This study aimed to evaluate the severity of influenza illness by vaccination status in a broad range of influenza vaccine target groups across multiple South American countries. METHODS We analysed data from four South American countries (Argentina, Brazil, Chile, and Paraguay) participating in REVELAC-i, a multicentre, test-negative design, vaccine effectiveness network including 41 sentinel hospitals. Individuals hospitalised at one of these centres with severe acute respiratory infection were tested for influenza by real-time RT-PCR, and were included in the analysis if they had complete information about their vaccination status and outcomes of their hospital stay. We used multivariable logistic regression weighted by inverse probability of vaccination and adjusted for antiviral use, duration of illness before admission, and calendar week, to calculate the adjusted odds ratios (aORs) of intensive care unit (ICU) admission and in-hospital death (and combinations of these outcomes) among influenza-positive patients by vaccination status for three target groups: young children (aged 6-24 months), adults (aged 18-64 years) with pre-existing health conditions, and older adults (aged ≥65 years). Survival curves were used to compare length of hospital stay by vaccination status in each target group. FINDINGS 2747 patients hospitalised with PCR-confirmed influenza virus infection between Jan 1, 2013, and Dec 8, 2019, were included in the study: 649 children (70 [10·8%] fully vaccinated, 193 [29·7%] partially vaccinated) of whom 87 (13·4%) were admitted to ICU and 12 (1·8%) died in hospital; 520 adults with pre-existing medical conditions (118 [22·7%] vaccinated), of whom 139 (26·7%) were admitted to ICU and 55 (10·6%) died in hospital; and 1578 older adults (609 [38·6%] vaccinated), of whom 271 (17·2%) were admitted to ICU and 220 (13·9%) died in hospital. We observed earlier discharge among partially vaccinated children (adjusted hazard ratio 1·14 [95% CI 1·01-1·29]), fully vaccinated children (1·24 [1·04-1·47]), and vaccinated adults with pre-existing medical conditions (1·78 [1·18-2·69]) compared with their unvaccinated counterparts, but not among vaccinated older adults (0·82 [0·65-1·04]). Compared with unvaccinated individuals, lower odds of ICU admission were found for partially vaccinated children (aOR 0·64 [95% CI 0·44-0·92]) and fully vaccinated children (0·52 [0·28-0·98]), but not for adults with pre-existing conditions (1·25 [0·93-1·67]) or older adults (0·88 [0·72-1·08]). Lower odds of in-hospital death (0·62 [0·50-0·78]) were found in vaccinated versus unvaccinated older adults, with or without ICU admission, but did not differ significantly in partially vaccinated (1·35 [0·57-3·20]) or fully vaccinated young children (0·88 [0·16-4·82]) or adults with pre-existing medical conditions (1·09 [0·73-1·63]) compared with the respective unvaccinated patient groups. INTERPRETATION Influenza vaccination was associated with illness attenuation among those hospitalised with influenza, although results differed by vaccine target group. These findings might suggest that attenuation of disease severity might be specific to certain target groups, seasons, or settings. FUNDING US Centers for Disease Control and Prevention. TRANSLATIONS For the Spanish and Portuguese translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Annette K Regan
- School of Nursing and Health Professions, University of San Francisco, Orange, CA, USA; Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.
| | - Carmen Sofia Arriola
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Paula Couto
- Health Emergencies Program, Pan American Health Organization, Washington, DC, USA
| | - Lindsey Duca
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sergio Loayza
- Department of Family, Health Promotion, and Life Course, Pan American Health Organization, Washington, DC, USA
| | - Francisco Nogareda
- Department of Family, Health Promotion, and Life Course, Pan American Health Organization, Washington, DC, USA
| | | | - Julian Antman
- Surveillance Area, Directorate of Epidemiology, Ministry of Health, Buenos Aires, Argentina; Consultant to The Task Force for Global Health, Decatur, GA, USA
| | - Soraya Araya
- Expanded Program on Immunizations, Ministry of Public Health and Social Welfare, Asunción, Paraguay
| | | | | | | | - Patricia Bustos
- Public Health Institute, Ministry of Health, Santiago, Chile
| | - Maria Eugenia Fandiño
- Surveillance Area, Directorate of Epidemiology, Ministry of Health, Buenos Aires, Argentina
| | - Rodrigo Fasce
- Public Health Institute, Ministry of Health, Santiago, Chile
| | | | | | - Marta von Horoch
- General Directorate of Health Surveillance, Ministry of Public Health and Social Welfare, Asunción, Paraguay
| | - Maria Del Valle Juarez
- Directorate for the Control of Immunopreventable Diseases, Ministry of Health, Buenos Aires, Argentina
| | - Nathalia Katz
- Directorate for the Control of Immunopreventable Diseases, Ministry of Health, Buenos Aires, Argentina
| | | | | | | | | | - Natalia Vergara
- Department of Epidemiology, Ministry of Health, Santiago, Chile
| | | | - Alba Maria Ropero
- Department of Family, Health Promotion, and Life Course, Pan American Health Organization, Washington, DC, USA
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Jones-Gray E, Robinson EJ, Kucharski AJ, Fox A, Sullivan SG. Does repeated influenza vaccination attenuate effectiveness? A systematic review and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2023; 11:27-44. [PMID: 36152673 PMCID: PMC9780123 DOI: 10.1016/s2213-2600(22)00266-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Influenza vaccines require annual readministration; however, several reports have suggested that repeated vaccination might attenuate the vaccine's effectiveness. We aimed to estimate the reduction in vaccine effectiveness associated with repeated influenza vaccination. METHODS In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, and CINAHL Complete databases for articles published from Jan 1, 2016, to June 13, 2022, and Web of Science for studies published from database inception to June 13, 2022. For studies published before Jan 1, 2016, we consulted published systematic reviews. Two reviewers (EJ-G and EJR) independently screened, extracted data using a data collection form, assessed studies' risk of bias using the Risk Of Bias In Non-Randomized Studies of Interventions (ROBINS-I) and evaluated the weight of evidence by Grading of Recommendations Assessment, Development, and Evaluation (GRADE). We included observational studies and randomised controlled trials that reported vaccine effectiveness against influenza A(H1N1)pdm09, influenza A(H3N2), or influenza B using four vaccination groups: current season; previous season; current and previous seasons; and neither season (reference). For each study, we calculated the absolute difference in vaccine effectiveness (ΔVE) for current season only and previous season only versus current and previous season vaccination to estimate attenuation associated with repeated vaccination. Pooled vaccine effectiveness and ∆VE were calculated by season, age group, and overall. This study is registered with PROSPERO, CRD42021260242. FINDINGS We identified 4979 publications, selected 681 for full review, and included 83 in the systematic review and 41 in meta-analyses. ΔVE for vaccination in both seasons compared with the current season was -9% (95% CI -16 to -1, I2=0%; low certainty) for influenza A(H1N1)pdm09, -18% (-26 to -11, I2=7%; low certainty) for influenza A(H3N2), and -7% (-14 to 0, I2=0%; low certainty) for influenza B, indicating lower protection with consecutive vaccination. However, for all types, A subtypes and B lineages, vaccination in both seasons afforded better protection than not being vaccinated. INTERPRETATION Our estimates suggest that, although vaccination in the previous year attenuates vaccine effectiveness, vaccination in two consecutive years provides better protection than does no vaccination. The estimated effects of vaccination in the previous year are concerning and warrant additional investigation, but are not consistent or severe enough to support an alternative vaccination regimen at this time. FUNDING WHO and the US National Institutes of Health.
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Affiliation(s)
- Elenor Jones-Gray
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth J Robinson
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases (CMMID), London School of Hygiene and Tropical Medicine, London, UK
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia; Department of Epidemiology, University of California, Los Angeles, CA, USA.
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4
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Chen H, Li Q, Zhang M, Gu Z, Zhou X, Cao H, Wu F, Liang M, Zheng L, Xian J, Chen Q, Lin Q. Factors associated with influenza vaccination coverage and willingness in the elderly with chronic diseases in Shenzhen, China. Hum Vaccin Immunother 2022; 18:2133912. [PMID: 36269145 PMCID: PMC9746395 DOI: 10.1080/21645515.2022.2133912] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 12/15/2022] Open
Abstract
Elderly individuals with chronic illnesses are more prone to get influenza. We aimed to investigate the factors associated with influenza coverage and willingness in chronic disease patients aged ≥60 years in Longhua district, Shenzhen City of southern China. Data collected in October 2020 were used in this work. The immunization status of older persons with chronic conditions and their willingness to receive the vaccine were assessed. Multivariable logistic regression was employed to determine the respective independent factors related to vaccination coverage and willingness for influenza. Only 4.8% of 5045 people were immunized against influenza, whereas 92.7% of the individuals agreed to receive the vaccine. Individuals between the ages of 70 and 79 (adjusted OR [aOR] 1.47, P = .012), those with higher education levels (aOR 1.53, P = .005 for high school; aOR 2.44, P < .001 for college or above), those who use of a family doctor (aOR 2.91, P < .001), those who frequently have physical examinations once a year (aOR 2.52, P < .001), and those who have never smoked (aOR 1.62, P = .018) were positively associated with the influenza vaccination. Meanwhile, older age was adversely linked with influenza vaccination willingness (aOR 0.68 for 70-79 years, P = .003; aOR 0.55 for≥80 years, P = .025) in contrast to those aged 60-69. High willingness to get vaccinated was more frequent in people with a high school diploma (aOR 1.33, P = .037). In this work, we observed that the coverage is poor but the immunization desire is high regarding influenza vaccination. Interestingly, older age was associated with higher coverage and lower willingness. These suggest that raising immunization rates among older people with chronic conditions and strengthening health education for caregivers should be the primary concerns.
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Affiliation(s)
- Hongbiao Chen
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Qiushuang Li
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Minyi Zhang
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Zihao Gu
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Xiaofeng Zhou
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - He Cao
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Fei Wu
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Minyi Liang
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Liting Zheng
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Juxian Xian
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Qing Chen
- Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, Guangdong, China
| | - Qihui Lin
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, Guangdong, China
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Azziz-Baumgartner E, Gonzalez R, Davis W, Calvo A, Olson N, Grant L, Hess-Holtz M, Veguilla V, Rauda R, Kaydos-Daniels SC, Sosa N, Aedo Ruíz EI, Armero Guardado J, Porter R, Franco D, Pascale JM, Peacock G. Lower cognitive scores among toddlers in birth cohorts with acute respiratory illnesses, fevers, and laboratory-confirmed influenza. Influenza Other Respir Viruses 2021; 16:101-112. [PMID: 34519426 PMCID: PMC8692816 DOI: 10.1111/irv.12904] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/15/2021] [Accepted: 08/16/2021] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND We established cohorts to assess associations between viral influenza and cognitive development to inform the value proposition of vaccination. METHODS From 2014 through 2017, we called women seeking care at four prenatal clinics in Panama and El Salvador to identify acute respiratory illnesses (ARIs). Within 2 weeks of childbirth, mothers were asked to enroll their neonates in the cognitive development study. Staff obtained nasopharyngeal swabs from children with febrile ARIs for real-time reverse transcription polymerase chain reaction (rtPCR) detection of viral RNA. Toddlers were administered Bayley developmental tests at ages 12 and 18-24 months. We used multilevel linear regression to explore associations between Bayley scores, ARIs, fever, and laboratory-confirmed influenza, controlling for maternal respiratory or Zika illnesses, infant influenza vaccination, birth during influenza epidemics, and the number of children in households. RESULTS We enrolled 1567 neonates of which 68% (n = 1062) underwent developmental testing once and 40% (n = 623) twice. Children with previous ARIs scored an average of 3 points lower on their cognitive scores than children without ARIs (p = 0.001). Children with previous fevers scored an average of 2.1 points lower on their cognitive scores than afebrile children (p = 0.02). In the second year, children with previous laboratory-confirmed influenza scored 4 points lower on their cognitive scores than children without influenza (p = 0.04, after controlling for first Bayley cognitive scores). CONCLUSIONS ARIs and fever during infancy were associated with lower Bayley scores at 12 months, and laboratory-confirmed influenza was associated with lower cognitive scores at 24 months suggesting the potential value of vaccination to prevent non-respiratory complications of influenza.
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Affiliation(s)
| | | | - William Davis
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Arlene Calvo
- Gorgas Institute, Panama City, Panama.,University of South Florida, Tampa, Florida, USA
| | - Natalie Olson
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lauren Grant
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Vic Veguilla
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Rafael Rauda
- National Institute of Health of El Salvador, San Salvador, El Salvador
| | | | | | | | | | - Rachael Porter
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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Burden of Seasonal Influenza A and B in Panama from 2011 to 2017: An Observational Retrospective Database Study. Infect Dis Ther 2021; 10:2465-2478. [PMID: 34424506 PMCID: PMC8381717 DOI: 10.1007/s40121-021-00501-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/07/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction Influenza A and B viruses constantly evolve and cause seasonal epidemics and sporadic outbreaks. Therefore, epidemiological surveillance is critical for monitoring their circulation pattern. Trivalent and quadrivalent vaccine formulations are available in Panama (until and since 2016, respectively). Herein, we analysed influenza A and B epidemiological patterns in Panama. Methods This was a retrospective descriptive analysis of all laboratory-confirmed influenza nasopharyngeal samples recorded between 2011 and 2017 in the nationwide surveillance database of Gorgas Memorial Institute for Health Studies. The analysis involved data relative to demographic information, virus type, subtype and lineage, geographic region, treatment and outcomes. The percentage level of mismatch between circulating and vaccine-recommended B lineage was assessed for each May–October influenza season. Results Among 1839 influenza cases, 79.6% were type A and 20.4% were type B. Most of them were observed in Panama City (54.7%) followed by the West (23.2%) and Central (16.7%) regions; across all regions, influenza A and B cases were distributed in a 4:1 ratio. Overall, approximately half were hospitalized (52.0% for type A; 45.5% for type B) and 11 (0.6%) died. Treatment, usually antimicrobial, was administered in 15.1% of cases. Children less than 2 years old were the most affected by this disease. Influenza type A circulated every year, while influenza B only circulated in 2012, 2014 and 2017. In the 2012 May–October influenza B season, the predominant lineage was B/Victoria and a switch to B/Yamagata was observed in 2014. Both lineages co-circulated in 2017, leading to a 38.9% B-lineage-level vaccine mismatch. Conclusion Influenza A was predominant among all ages and children less than 2 years and inhabitants of Panama City reported the highest circulation rate. In 2017, co-circulation of both B lineages led to a vaccine mismatch. Continuous monitoring of seasonal influenza is critical to establish immunization recommendations. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-021-00501-y. Influenza or “flu” is caused by influenza viruses A and B and its symptoms range from mild to severe. This virus is constantly evolving; thus, careful monitoring of influenza is important to update immunization and vaccine recommendations yearly. This study used data from surveillance centres in Panama from 2011 to 2017 and evaluated the number of flu cases by age, gender, region, virus type, symptoms, comorbidities, treatment, coinfections with other viruses, and the circulating influenza subtype and the vaccine recommended each year. We found several points: almost 80% of cases were influenza A; most of the positive samples were found in children less than 2 years old and the Panama city region; more than 50% of influenza cases needed hospitalization; and in 2017 a mismatch was detected between the circulating influenza subtype and the recommended vaccine. This study helped to better characterize influenza circulation patterns and the burden of the disease during 2011–2017. We concluded that continuous monitoring of the influenza cases is necessary to establish future vaccination recommendations.
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7
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Vicari AS, Olson D, Vilajeliu A, Andrus JK, Ropero AM, Morens DM, Santos IJ, Azziz-Baumgartner E, Berman S. Seasonal Influenza Prevention and Control Progress in Latin America and the Caribbean in the Context of the Global Influenza Strategy and the COVID-19 Pandemic. Am J Trop Med Hyg 2021; 105:93-101. [PMID: 33970888 PMCID: PMC8274756 DOI: 10.4269/ajtmh.21-0339] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/16/2021] [Indexed: 12/12/2022] Open
Abstract
Each year in Latin America and the Caribbean, seasonal influenza is associated with an estimated 36,500 respiratory deaths and 400,000 hospitalizations. Since the 2009 influenza A(H1N1) pandemic, the Region has made significant advances in the prevention and control of seasonal influenza, including improved surveillance systems, burden estimates, and vaccination of at-risk groups. The Global Influenza Strategy 2019–2030 provides a framework to strengthen these advances. Against the backdrop of this new framework, the University of Colorado convened in October 2020 its Immunization Advisory Group of Experts to review and discuss current surveillance, prevention, and control strategies for seasonal influenza in Latin America and the Caribbean, also in the context of the COVID-19 pandemic. This review identified five areas for action and made recommendations specific to each area. The Region should continue its efforts to strengthen surveillance and impact evaluations. Existing data on disease burden, seasonality patterns, and vaccination effectiveness should be used to inform decision-making at the country level as well as advocacy efforts for programmatic resources. Regional and country strategic plans should be prepared and include specific targets for 2030. Existing investments in influenza prevention and control, including for immunization programs, should be optimized. Finally, regional partnerships, such as the regional networks for syndromic surveillance and vaccine effectiveness evaluation (SARInet and REVELAC-i), should continue to play a critical role in continuous learning and standardization by sharing experiences and best practices among countries.
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Affiliation(s)
- Andrea S Vicari
- 1Health Emergencies Department, Pan American Health Organization, Washington, District of Columbia
| | - Daniel Olson
- 2Division of Pediatric Infectious Disease, University of Colorado School of Medicine, Aurora, Colorado.,3Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado.,4Center for Global Health, Colorado School of Public Health, Aurora, Colorado
| | - Alba Vilajeliu
- 5Comprehensive Family Immunization, Pan American Health Organization, Washington, District of Columbia
| | - Jon K Andrus
- 6Department of Global Health, George Washington University Milken Institute of Public Health, Washington, District of Columbia.,7Division of Vaccines and Immunization, Center for Global Health, University of Colorado, Aurora, Colorado
| | - Alba Maria Ropero
- 5Comprehensive Family Immunization, Pan American Health Organization, Washington, District of Columbia
| | - David M Morens
- 8Office of the Director, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | | | | | - Stephen Berman
- 4Center for Global Health, Colorado School of Public Health, Aurora, Colorado
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Rodríguez AMMM, Cardoso TZ, Abrahão-Curvo P, Gerin L, Palha PF, Segura-Muñoz SI. Vacinação contra influenza no enfrentamento da COVID-19: integração ensino-serviço para formação em enfermagem e saúde. ESCOLA ANNA NERY 2021. [DOI: 10.1590/2177-9465-ean-2020-0379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Resumo Objetivo descrever a experiência de integração ensino-serviço durante a primeira etapa da 22ª Campanha Nacional de Vacinação contra a Influenza na emergência da COVID-19. Método relato de experiência sobre a parceria de um curso de enfermagem de uma das instituições de ensino superior de Ribeirão Preto-SP, Brasil, com serviços da Atenção Primária à Saúde na referida campanha, no período de março a abril de 2020. Resultados essa parceria mobilizou diversos voluntários para implementar 35 postos volantes de vacinação, incluindo um drive-thru. Nessa primeira etapa, foram aplicadas 91.697 doses do imunobiológico em idosos, de um total de 98.189, que correspondeu a 83,3%, valor muito próximo da cobertura vacinal de 90% esperada para esse grupo populacional. Com a parceria, o número total de doses aplicadas em idosos ao final da 22a campanha, na cidade, superou em 42,6% a média dos últimos cinco anos. Conclusão e implicações para a prática atribui-se esse percentual ao trabalho coletivo e multiprofissional e ao compromisso social das instituições envolvidas com a proteção da saúde, a preservação da vida e o fortalecimento do Sistema Único de Saúde.
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Sato APS, Andrade FBD, Duarte YAO, Antunes JLF. Vaccine coverage and factors associated with influenza vaccination in the elderly in the city of São Paulo, Brazil: SABE Study 2015. CAD SAUDE PUBLICA 2020; 36 Suppl 2:e00237419. [PMID: 32876100 DOI: 10.1590/0102-311x00237419] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/09/2020] [Indexed: 11/22/2022] Open
Abstract
This study evaluated influenza vaccine coverage among elderly individuals (≥ 60 years) living in the city of São Paulo, Brazil, in 2015, and analyzed associated factors. This was a cross-sectional population-based study of data from the SABE Study (Health, Well-Being, and Aging). The dependent variable was influenza vaccination in the 12 months prior to the interview, and the independent variables were sociodemographic and behavioral characteristics, self-reported health status, and use of health services. Data analysis considered the complex study sample, respecting the sampling weight. Poisson's regression was used, with significance set at 5%. Vaccine coverage was 79.7% (95%CI: 76.8-82.5). Influenza vaccination was associated with marital status (PR single/without partner = 0.84; 95%CI: 0.77-0.93), physical activity (PR yes = 1.08; 95%CI: 1.01-1.17), and medical appointment in the previous 12 months (PR yes = 1.22; 95%CI: 1.07-1.39). There were no differences between sociodemographic strata. Influenza vaccination in the elderly had already reached the target for universal coverage in the city of São Paulo. The results are relevant for planning the immunization program, pointing to priority groups to motivate for vaccination and valuing interaction between the elderly and health services.
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10
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Leite JA, Resende P, Araya JL, Barrera GB, Baumeister E, Caicedo AB, Coppola L, de Mello WA, de Mora D, Cordeiro dos Santos M, Fasce R, Fernández J, Goñi N, Martínez IL, Mayhua JO, Motta F, Nuñez MCH, Ojeda J, Ortega MJ, Ospitia E, de Paiva TM, Pontoriero A, Porras HB, Quinonez JAD, Ramas V, Ramírez JB, Santos KCDO, Siqueira MM, Vàzquez C, Palekar R. Genetic evolution of influenza viruses among selected countries in Latin America, 2017-2018. PLoS One 2020; 15:e0227962. [PMID: 32155152 PMCID: PMC7064222 DOI: 10.1371/journal.pone.0227962] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 01/03/2020] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE Since the 2009 influenza pandemic, Latin American (LA) countries have strengthened their influenza surveillance systems. We analyzed influenza genetic sequence data from the 2017 through 2018 Southern Hemisphere (SH) influenza season from selected LA countries, to map the availability of influenza genetic sequence data from, and to describe, the 2017 through 2018 SH influenza seasons in LA. METHODS We analyzed influenza A/H1pdm09, A/H3, B/Victoria and B/Yamagata hemagglutinin sequences from clinical samples from 12 National Influenza Centers (NICs) in ten countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico, Paraguay, Peru and Uruguay) with a collection date from epidemiologic week (EW) 18, 2017 through EW 43, 2018. These sequences were generated by the NIC or the WHO Collaborating Center (CC) at the U.S Centers for Disease Control and Prevention, uploaded to the Global Initiative on Sharing All Influenza Data (GISAID) platform, and used for phylogenetic reconstruction. FINDINGS Influenza hemagglutinin sequences from the participating countries (A/H1pdm09 n = 326, A/H3 n = 636, B n = 433) were highly concordant with the genetic groups of the influenza vaccine-recommended viruses for influenza A/H1pdm09 and influenza B. For influenza A/H3, the concordance was variable. CONCLUSIONS Considering the constant evolution of influenza viruses, high-quality surveillance data-specifically genetic sequence data, are important to allow public health decision makers to make informed decisions about prevention and control strategies, such as influenza vaccine composition. Countries that conduct influenza genetic sequencing for surveillance in LA should continue to work with the WHO CCs to produce high-quality genetic sequence data and upload those sequences to open-access databases.
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Affiliation(s)
- Juliana Almeida Leite
- Pan American Health Organization (PAHO/WHO), Washington, DC, United States of America
| | - Paola Resende
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jenny Lara Araya
- Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica
| | - Gisela Badillo Barrera
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, Mexico, Mexico
| | - Elsa Baumeister
- Instituto Nacional de Enfermedades Infecciosas—Administración Nacional de Laboratorios e Institutos de Salud (INEI-ANLIS) "Dr. Carlos G. Malbran", Buenos Aires, Argentina
| | - Alfredo Bruno Caicedo
- Instituto Nacional de Investigación en Salud Pública (INSPI), Guayaquil, Guayas, Ecuador
| | - Leticia Coppola
- Departamento de Laboratorio de Salud Publica (DLSP), Montevideo, Montevideo, Uruguay
| | | | - Domenica de Mora
- Instituto Nacional de Investigación en Salud Pública (INSPI), Guayaquil, Guayas, Ecuador
| | | | - Rodrigo Fasce
- Instituto de Salud Pública de Chile (ISPCH), Santiago, Santiago, Chile
| | - Jorge Fernández
- Instituto de Salud Pública de Chile (ISPCH), Santiago, Santiago, Chile
| | - Natalia Goñi
- Departamento de Laboratorio de Salud Publica (DLSP), Montevideo, Montevideo, Uruguay
| | - Irma López Martínez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, Mexico, Mexico
| | | | - Fernando Motta
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Jenny Ojeda
- Ministerio de Salud Pública, Quito, Pichincha, Ecuador
| | - María José Ortega
- Laboratorio Central de Salud Pública (LCSP), Ascuncion, Distrito Capital, Paraguay
| | - Erika Ospitia
- Instituto Nacional de Salud (INS), Bogota, Cundinamarca, Colombia
| | | | - Andrea Pontoriero
- Instituto Nacional de Enfermedades Infecciosas—Administración Nacional de Laboratorios e Institutos de Salud (INEI-ANLIS) "Dr. Carlos G. Malbran", Buenos Aires, Argentina
| | - Hebleen Brenes Porras
- Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica
| | - Jose Alberto Diaz Quinonez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, Mexico, Mexico
- Division of Postgraduate Studies, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Viviana Ramas
- Departamento de Laboratorio de Salud Publica (DLSP), Montevideo, Montevideo, Uruguay
| | | | | | - Marilda Mendonça Siqueira
- Laboratorio de Virus Respiratorio, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cynthia Vàzquez
- Laboratorio Central de Salud Pública (LCSP), Ascuncion, Distrito Capital, Paraguay
| | - Rakhee Palekar
- Pan American Health Organization (PAHO/WHO), Washington, DC, United States of America
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11
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Mouratidou E, Lambrou A, Andreopoulou A, Gioula G, Exindari M, Kossyvakis A, Pogka V, Mentis A, Georgakopoulou T, Lytras T. Influenza vaccine effectiveness against hospitalization with laboratory-confirmed influenza in Greece: A pooled analysis across six seasons, 2013-2014 to 2018-2019. Vaccine 2020; 38:2715-2724. [PMID: 32033848 DOI: 10.1016/j.vaccine.2020.01.083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Monitoring seasonal influenza Vaccine Effectiveness (VE) is key to inform vaccination strategies and sustain uptake. Pooling data across multiple seasons increases precision and allows for subgroup analyses, providing more conclusive evidence. Our aim was to assess VE against hospitalization with laboratory-confirmed influenza in Greece over six seasons, from 2013 to 2014 to 2018-2019, using routinely collected surveillance data. METHODS Swab samples from hospitalized patients across the country were tested for influenza by RT-PCR. We used the test-negative design, with patients testing positive for influenza serving as cases and those testing negative serving as controls. VE was calculated as one minus the Odds Ratio (OR) for influenza vaccination, estimated by mixed-effects logistic regression and adjusted for age, sex, hospitalization type (being in intensive care or not), time from symptom onset to swabbing, and calendar time. Stratified estimates by age and hospitalization type were obtained, and also subgroup estimates by influenza type/subtype and season. Antigenic and genetic characterization of a subset of circulating influenza strains was performed. RESULTS A total of 3,882 test-positive cases and 5,895 test-negative controls were analyzed. Across all seasons, adjusted VE was 45.5% (95% CI: 31.6-56.6) against all influenza, 62.8% against A(H1N1)pdm09 (95% CI: 40.7-76.7), 28.2% against A(H3N2) (95% CI: 12.0-41.3) and 45.5% against influenza B (95% CI: 29.1-58.1). VE was slightly lower for patients aged 60 years and over, and similar between patients hospitalized inside or outside intensive care. Circulating A(H1N1)pdm09 and B strains were antigenically similar to the vaccine strains, whereas A(H3N2) were not. CONCLUSION Our results confirm the public health benefits from seasonal influenza vaccination, despite the suboptimal effectiveness against A(H3N2) strains. Continued monitoring of VE is essential, and routinely collected surveillance data can be valuable in this regard.
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Affiliation(s)
- Elisavet Mouratidou
- National Public Health Organization, Athens, Greece; European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
| | | | | | - Georgia Gioula
- National Influenza Centre for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria Exindari
- National Influenza Centre for Northern Greece, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Athanasios Kossyvakis
- National Influenza Centre for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Vasiliki Pogka
- National Influenza Centre for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Andreas Mentis
- National Influenza Centre for Southern Greece, Hellenic Pasteur Institute, Athens, Greece
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12
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Influenza vaccine uptake among older adults in Brazil: Socioeconomic equality and the role of preventive policies and public services. J Infect Public Health 2020; 13:211-215. [DOI: 10.1016/j.jiph.2019.07.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 07/20/2019] [Accepted: 07/25/2019] [Indexed: 11/19/2022] Open
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13
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Chua H, Feng S, Lewnard JA, Sullivan SG, Blyth CC, Lipsitch M, Cowling BJ. The Use of Test-negative Controls to Monitor Vaccine Effectiveness: A Systematic Review of Methodology. Epidemiology 2020; 31:43-64. [PMID: 31609860 PMCID: PMC6888869 DOI: 10.1097/ede.0000000000001116] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The test-negative design is an increasingly popular approach for estimating vaccine effectiveness (VE) due to its efficiency. This review aims to examine published test-negative design studies of VE and to explore similarities and differences in methodological choices for different diseases and vaccines. METHODS We conducted a systematic search on PubMed, Web of Science, and Medline, for studies reporting the effectiveness of any vaccines using a test-negative design. We screened titles and abstracts and reviewed full texts to identify relevant articles. We created a standardized form for each included article to extract information on the pathogen of interest, vaccine(s) being evaluated, study setting, clinical case definition, choices of cases and controls, and statistical approaches used to estimate VE. RESULTS We identified a total of 348 articles, including studies on VE against influenza virus (n = 253), rotavirus (n = 48), pneumococcus (n = 24), and nine other pathogens. Clinical case definitions used to enroll patients were similar by pathogens of interest but the sets of symptoms that defined them varied substantially. Controls could be those testing negative for the pathogen of interest, those testing positive for nonvaccine type of the pathogen of interest, or a subset of those testing positive for alternative pathogens. Most studies controlled for age, calendar time, and comorbidities. CONCLUSIONS Our review highlights similarities and differences in the application of the test-negative design that deserve further examination. If vaccination reduces disease severity in breakthrough infections, particular care must be taken in interpreting vaccine effectiveness estimates from test-negative design studies.
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Affiliation(s)
- Huiying Chua
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Shuo Feng
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Joseph A Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Doherty Department, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher C Blyth
- Division of Paediatrics, School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia
| | - Marc Lipsitch
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Benjamin J Cowling
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
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14
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Sofia Arriola C, El Omeiri N, Azziz-Baumgartner E, Thompson MG, Sotomayor-Proschle V, Fasce RA, Von Horoch M, Enrique Carrizo Olalla J, Aparecida Ferreira de Almeida W, Palacios J, Palekar R, Couto P, Descalzo M, María Ropero-Álvarez A. Influenza vaccine effectiveness against hospitalizations in children and older adults-Data from South America, 2013-2017. A test negative design. Vaccine X 2019; 3:100047. [PMID: 31867577 PMCID: PMC6904815 DOI: 10.1016/j.jvacx.2019.100047] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 10/15/2019] [Accepted: 10/21/2019] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND In 2013, the Pan American Health Organization established a multi-site, multi-country network to evaluate influenza vaccine effectiveness (VE). We pooled data from five consecutive seasons in five countries to conduct an analysis of southern hemisphere VE against laboratory-confirmed influenza hospitalizations in young children and older adults. METHODS We used a test-negative design to estimate VE against laboratory-confirmed influenza in hospitalized young children (aged 6─24 months) and older adults (aged ≥60 years) in Argentina, Brazil, Chile, Colombia, and Paraguay. Following country-specific influenza surveillance protocol, hospitalized persons with severe acute respiratory infections (SARI) at 48 sentinel hospitals (March 2013-December 2017) were tested for influenza virus infection by rRT-PCR. VE was estimated for young children and older adults using logistic random effects models accounting for cluster (country), adjusting for sex, age (months for children, and age-in-year categories for adults), calendar year, country, preexisting conditions, month of illness onset and prior vaccination as an effect modifier for the analysis in adults. RESULTS We included 8426 SARI cases (2389 children and 6037 adults) in the VE analyses. Among young children, VE against SARI hospitalization associated with any influenza virus was 43% (95%CI: 33%, 51%) for children who received two doses, but was 20% (95%CI: -16%, 45%) and not statistically significant for those who received one dose in a given season. Among older adults, overall VE against SARI hospitalization associated with any influenza virus was 41% (95%CI: 28%, 52%), 45% (95%CI: 34%, 53%) against A(H3N2), 40% (95%CI: 18%, 56%) against A(H1N1)pdm09, and 20% (95%CI: -40%, 54%) against influenza B viruses. CONCLUSIONS Our results suggest that over the five-year study period, influenza vaccination programs in five South American countries prevented more than one-third of laboratory confirmed influenza-associated hospitalizations in young children receiving the recommended two doses and vaccinated older adults.
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Affiliation(s)
- Carmen Sofia Arriola
- Influenza Division, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Nathalie El Omeiri
- Department of Family Gender and Life Course/Immunization, Pan American Health Organization/World Health Organization (PAHO/WHO), Washington, DC, USA
| | | | - Mark G. Thompson
- Influenza Division, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | | | | | - Martha Von Horoch
- Health Surveillance Unit, Ministry of Public Health and Social Welfare, Paraguay
| | | | | | | | - Rakhee Palekar
- Department of Public Health Emergencies, PAHO/WHO, Washington, DC, USA
| | - Paula Couto
- Department of Public Health Emergencies, PAHO/WHO, Washington, DC, USA
| | | | - Alba María Ropero-Álvarez
- Department of Family Gender and Life Course/Immunization, Pan American Health Organization/World Health Organization (PAHO/WHO), Washington, DC, USA
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15
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Priming with MF59 adjuvanted versus nonadjuvanted seasonal influenza vaccines in children - A systematic review and a meta-analysis. Vaccine 2019; 38:608-619. [PMID: 31735505 DOI: 10.1016/j.vaccine.2019.10.053] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/11/2019] [Accepted: 10/18/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Identifying optimal priming strategies for children <2 years could substantially improve the public health benefits of influenza vaccines. Adjuvanted seasonal influenza vaccines were designed to promote a better immune response among young vaccine-naïve children. METHODS We systematically reviewed randomized trials to assess hemagglutination inhibition (HAI) antibody response to MF59-adjuvanted inactivated influenza vaccine (aIIV) versus nonadjuvanted IIV among children. We estimated pooled ratios of post-vaccination HAI geometric mean titer (GMT) for aIIV versus IIV and confidence intervals (CIs) using the pooled variances derived from reported CIs. RESULTS Mean age was 28 months (range, 6-72 months). Children received vaccines with either 7.5 μg (6-35 months) or 15 μg (≥36 months) hemagglutinin of each strain depending on age. Seven of eight trials administered trivalent vaccines and one used quadrivalent vaccine. Pooled post-vaccination GMT ratios against the three influenza vaccine strains were 2.5-3.5 fold higher after 2-dose-aIIV versus 2-dose-IIV among children 6-72 months, and point estimates were higher among children 6-35 months compared with older children. When comparing 1-dose-aIIV to 2-dose-IIV doses, pooled GMT ratios were not significantly different against A/H1N1 (1.0; 95% CI: 0.5-1.8; p = 0.90) and A/H3N2 viruses (1.0; 95% CI: 0.7-1.5; p = 0.81) and were significantly lower against B viruses (0.6; 95% CI: 0.4-0.8; p < 0.001) for both age groups. Notably, GMT ratios for vaccine-mismatched heterologous viruses after 2-dose-aIIV compared with 2-dose-IIV were higher against A/H1N1 (2.0; 95% CI: 1.1-3.4), A/H3N2 (2.9; 95% CI: 1.9-4.2), and B-lineage viruses (2.1; 95% CI: 1.8-2.6). CONCLUSIONS Two doses of adjuvanted IIV consistently induced better humoral immune responses against Type A and B influenza viruses compared with nonadjuvanted IIVs in young children, particularly among those 6-35 months. One adjuvanted IIV dose had a similar response to two nonadjuvanted IIV doses against Type A influenza viruses. Longer-term benefits from imprinting and cell-mediated immunity, including trials of clinical efficacy, are gaps that warrant investigation.
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16
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Pebody RG, Zhao H, Whitaker HJ, Ellis J, Donati M, Zambon M, Andrews N. Effectiveness of influenza vaccine in children in preventing influenza associated hospitalisation, 2018/19, England. Vaccine 2019; 38:158-164. [PMID: 31648914 DOI: 10.1016/j.vaccine.2019.10.035] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/12/2019] [Accepted: 10/14/2019] [Indexed: 01/09/2023]
Abstract
2013/14 saw the start of the introduction of a new live attenuated influenza vaccine (LAIV) programme for children in England. 2018/19 saw co-circulation of both A(H1N1)pdm09 and A(H3N2), when LAIV was offered to all healthy children 2-9 years of age. LAIV effectiveness against influenza hospitalisation is not well described. This paper presents the 2018/19 end-of-season adjusted vaccine effectiveness (aVE) against laboratory confirmed influenza related hospitalisation in children aged 2-17. The test negative case control approach was used to estimate aVE by influenza A subtype and vaccine type. Cases and controls were selected from a sentinel laboratory surveillance system which collates details of individuals tested for influenza with reverse-transcription polymerase chain reaction (RT-PCR) on respiratory samples. Vaccine and clinical history was obtained from general practitioners of study participants. There were 307 hospitalised cases and 679 hospitalised controls. End-of-season influenza aVE was 53.0% (95% CI: 33.3, 66.8) against influenza confirmed hospitalisation; 63.5% (95% CI: 34.4, 79.7) against influenza A(H1N1)pdm09 hospitalisation and 31.1% (95% CI: -53.9, 69.2) against influenza A(H3N2). LAIV aVE was 49.1% (95% CI: 25.9, 65.0) for any influenza and 70.7% (95% CI: 41.8, 85.3) for A(H1N1)pdm09, whereas for those receiving quadrivalent inactivated influenza vaccine (QIV), aVE was 64.4% (95% CI: 29.4, 82.0) and 44.4% (95% CI: -51.9, 79.6) respectively. We provide evidence of overall significant VE for both LAIV and QIV against influenza associated hospitalisation in children 2-17 years of age, most notably against influenza A(H1N1)pdm09, with non-significant protection against A(H3N2).
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Affiliation(s)
- R G Pebody
- Public Health England National Infection Service, Colindale, London, UK.
| | - H Zhao
- Public Health England National Infection Service, Colindale, London, UK
| | - H J Whitaker
- Public Health England National Infection Service, Colindale, London, UK
| | - J Ellis
- Public Health England National Infection Service, Colindale, London, UK
| | - M Donati
- Public Health England National Infection Service, Bristol, UK
| | - M Zambon
- Public Health England National Infection Service, Colindale, London, UK
| | - N Andrews
- Public Health England National Infection Service, Colindale, London, UK
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17
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Chua H, Chiu SS, Chan ELY, Feng S, Kwan MYW, Wong JSC, Peiris JSM, Cowling BJ. Effectiveness of Partial and Full Influenza Vaccination Among Children Aged <9 Years in Hong Kong, 2011-2019. J Infect Dis 2019; 220:1568-1576. [PMID: 31290537 PMCID: PMC6782104 DOI: 10.1093/infdis/jiz361] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 07/09/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Two doses of influenza vaccination are recommended for previously unvaccinated children aged <9 years, and receipt of 1 dose is sometimes termed "partial vaccination." We assessed the effectiveness of partial and full influenza vaccination in preventing influenza-associated hospitalization among children in Hong Kong. METHODS Using the test-negative design we enrolled 23 187 children aged <9 years admitted to hospitals with acute respiratory illness from September 2011 through March 2019. Vaccination and influenza status were recorded. Fully vaccinated children included those vaccinated with 2 doses or, if previously vaccinated, those vaccinated with 1 dose. Partially vaccinated children included those who should have received 2 doses but only received 1 dose. We estimated vaccine effectiveness (VE) by using conditional logistic regression models matched on epidemiological week. RESULTS Overall VE estimates among fully and partially vaccinated children were 73% (95% confidence interval, 69%-77%) and 31% (95% confidence interval, 8%-48%), respectively. A consistently higher VE was observed in children fully vaccinated against each influenza virus type/subtype. The effectiveness of partial vaccination did not vary by age group. CONCLUSIONS Partial vaccination was significantly less effective than full vaccination. Our study supports the current recommendation of 2 doses of influenza vaccination in previously unvaccinated children <9 years of age.
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Affiliation(s)
- Huiying Chua
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Susan S Chiu
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital and Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Eunice L Y Chan
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital and Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Shuo Feng
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Mike Y W Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - Joshua S C Wong
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, China
| | - J S Malik Peiris
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Benjamin J Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
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18
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Patterns of influenza B circulation in Latin America and the Caribbean, 2010-2017. PLoS One 2019; 14:e0219595. [PMID: 31393886 PMCID: PMC6687279 DOI: 10.1371/journal.pone.0219595] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 06/27/2019] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE There are limited published data about the circulation of influenza B/Victoria and B/Yamagata in Latin America and the Caribbean (LAC) and most countries have a vaccine policy that includes the use of the trivalent influenza vaccine. We analyzed influenza surveillance data to inform decision-making in LAC about prevention strategies, such as the use of the quadrivalent influenza vaccine. METHODS There are a total of 28 reference laboratories and National Influenza Centers in LAC that conduct influenza virologic surveillance according to global standards, and on a weekly basis upload their surveillance data to the open-access World Health Organization (WHO) platform FluNet. These data include the number of specimens tested for influenza and the number of specimens positive for influenza by type, subtype and lineage, all by the epidemiologic week of specimen collection. We invited these laboratories to provide additional epidemiologic data about the hospitalized influenza B cases. We conducted descriptive analyses of patterns of influenza circulation and characteristics of hospitalized cases. We compared the predominant B lineage each season to the lineage in the vaccine applied, to determine vaccine mismatch. A Chi-square and Wilcoxan statistic were used to assess the statistical significance of differences in proportions and medians at the P<0.05 level. FINDINGS During 2010-2017, the annual number of influenza B cases in LAC was ~4500 to 7000 cases. Since 2011, among the LAC-laboratories reporting influenza B lineage using molecular methods, both B/Victoria and B/Yamagata were detected annually. Among the hospitalized influenza B cases, there were statistically significant differences observed between B/Victoria and B/Yamagata cases when comparing age and the proportion with underlying co-morbid conditions and with history of oseltamivir treatment (P<0.001). The proportion deceased among B/Victoria and B/Yamagata hospitalized cases did not differ significantly. When comparing the predominant influenza B lineage detected, as part of surveillance activities during 63 seasons among 19 countries, to the lineage of the influenza B virus included in the trivalent influenza vaccine used during that season, there was a vaccine mismatch noted during 32% of the seasons analyzed. CONCLUSIONS Influenza B is important in LAC with both B/Victoria and B/Yamagata circulating annually in all sub regions. During approximately one-third of the seasons, an influenza B vaccine mismatch was identified. Further analyses are needed to better characterize the medical and economic burden of each influenza B lineage, to examine the potential cross-protection of one vaccine lineage against the other circulating virus lineage, and to determine the potential impact and cost-effectiveness of using the quadrivalent vaccine rather than the trivalent influenza vaccine.
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19
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Gentile A, Paget J, Bellei N, Torres JP, Vazquez C, Laguna-Torres VA, Plotkin S. Influenza in Latin America: A report from the Global Influenza Initiative (GII). Vaccine 2019; 37:2670-2678. [PMID: 30975568 DOI: 10.1016/j.vaccine.2019.03.081] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 03/29/2019] [Accepted: 03/31/2019] [Indexed: 01/01/2023]
Abstract
The Global Influenza Initiative (GII) is a global expert group that aims to raise acceptance and uptake of influenza vaccines globally and provides recommendations and strategies to address challenges at local, national, regional, and global levels. This article provides a consolidated estimation of disease burden in Latin America, currently lacking in published literature, and delivers the GII recommendations specific to Latin America that provide guidance to combat existing vaccination challenges. While many countries worldwide, especially in the tropics and subtropics, do not have a seasonal influenza policy, 90% of Latin American countries have a seasonal influenza policy in place. Local governments in the Latin American countries and The Pan American Health Organization's Technical Advisory Group on Vaccine-preventable Diseases play a major role in improving the vaccination coverage and reducing the overall disease burden. Influenza seasonality poses the biggest challenge in deciding on optimal timing for vaccination in Latin America, as in temperate climates seasonal influenza activity peaks during the winter months (November-February and May-October) in the northern and southern hemispheres, respectively, while in the tropics and subtropical regions it usually occurs throughout the year, but especially during the rainy season. Besides this, vaccine mismatch with circulating strains, misconception concerning influenza vaccine effectiveness, and poor disease and vaccine awareness among the public are also key challenges that need to be overcome. Standardization of clinical case definitions is important across all Latin American countries. Surveillance (mostly passive) has improved substantially in the Latin American countries over the past decade, but more is still required to better understand the disease burden and help inform policies.
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Affiliation(s)
- Angela Gentile
- Ricardo Gutiérrez Children's Hospital, 1405 Buenos Aires, Argentina.
| | - John Paget
- Netherlands Institute for Health Services Research (NIVEL), 3513 CR Utrecht, the Netherlands.
| | - Nancy Bellei
- Department of Medicine, Federal University of São Paulo, 04024-002 São Paulo, Brazil.
| | - Juan Pablo Torres
- Department of Pediatrics, Division of Pediatric Infectious Diseases, Faculty of Medicine, University of Chile, 1058 Santiago, Chile.
| | - Cynthia Vazquez
- Department of Virology, Central Laboratory for Public Health, 1429 Asunción, Paraguay
| | - V Alberto Laguna-Torres
- Tropical Medicine Institute Daniel A. Carrion, Virology Section, San Marcos University, 15081 Lima, Peru
| | - Stanley Plotkin
- University of Pennsylvania, Vaxconsult, Doylestown, PA 18907, USA.
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20
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Andrew MK, Bowles SK, Pawelec G, Haynes L, Kuchel GA, McNeil SA, McElhaney JE. Influenza Vaccination in Older Adults: Recent Innovations and Practical Applications. Drugs Aging 2019; 36:29-37. [PMID: 30411283 DOI: 10.1007/s40266-018-0597-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Influenza can lead to serious illness, particularly for older adults. In addition to short-term morbidity and mortality during the acute infection, recovery can be prolonged and often incomplete. This may lead to persistent declines in health and function, including catastrophic disability, which has dramatic implications for the well-being and support needs of older adults and their caregivers. All of this means that prevention of infection and effective treatment when illness has occurred are of paramount importance. In this narrative review, we discuss the effectiveness of influenza vaccines for the prevention of influenza illness and serious outcomes in older adults. We review evidence of vaccine effectiveness for older adults in comparison with younger age groups, and also highlight the importance of frailty as a determinant of vaccine effectiveness. We then turn our attention to the question of why older and frailer individuals have poorer vaccine responses, and consider changes in immune function and inflammatory responses. This sets the stage for a discussion of newer influenza vaccine products that have been developed with the aim of enhancing vaccine effectiveness in older adults. We review the available evidence on vaccine efficacy, effectiveness and cost benefits, consider the potential place of these innovations in clinical geriatric practice, and discuss international advisory committee recommendations on influenza vaccination in older adults. Finally, we highlight the importance of influenza prevention to support healthy aging, along with the need to improve vaccine coverage rates using available vaccine products, and to spur development of better influenza vaccines for older adults in the near future.
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Affiliation(s)
- Melissa K Andrew
- Division of Geriatric Medicine, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans' Memorial Lane, Halifax, NS, Canada. .,Canadian Center for Vaccinology, Halifax, NS, Canada.
| | - Susan K Bowles
- Division of Geriatric Medicine, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans' Memorial Lane, Halifax, NS, Canada.,Canadian Center for Vaccinology, Halifax, NS, Canada.,Department of Pharmacy, Nova Scotia Health Authority, Central Zone, Halifax, NS, Canada
| | - Graham Pawelec
- Second Department of Internal Medicine, University of Tübingen, Tübingen, Germany.,Health Sciences North Research Institute, Sudbury, ON, Canada
| | - Laura Haynes
- Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
| | - George A Kuchel
- Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Shelly A McNeil
- Canadian Center for Vaccinology, Halifax, NS, Canada.,Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, NS, Canada
| | - Janet E McElhaney
- Health Sciences North Research Institute, Northern Ontario School of Medicine, Sudbury, ON, Canada
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21
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Baumeister E, Duque J, Varela T, Palekar R, Couto P, Savy V, Giovacchini C, Haynes AK, Rha B, Arriola CS, Gerber SI, Azziz-Baumgartner E. Timing of respiratory syncytial virus and influenza epidemic activity in five regions of Argentina, 2007-2016. Influenza Other Respir Viruses 2018; 13:10-17. [PMID: 30051595 PMCID: PMC6304310 DOI: 10.1111/irv.12596] [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: 05/20/2018] [Accepted: 07/11/2018] [Indexed: 11/30/2022] Open
Abstract
Background Within‐country differences in the timing of RSV and influenza epidemics have not been assessed in Argentina, the eighth largest country in the world by area. Objective We aimed to compare seasonality for RSV and influenza both nationally and in each of the five regions to inform Argentina’s prevention and treatment guidelines. Method The Argentine National Laboratories and Health Institutes Administration collected respiratory specimens from clinical practices, outbreak investigations, and respiratory virus surveillance in 2007‐2016; these were tested using immunofluorescence or RT‐PCR techniques. We calculated weekly percent positive (PP) and defined season onset as >2 consecutive weeks when PP exceeded the annual mean for the respective year and region. Median season measures (onset, offset and peak) and the established mean method were calculated for each virus. Results An annual median 59 396 specimens were tested for RSV and 60 931 for influenza; 21–29% tested positive for RSV and 2–7% for influenza. National RSV activity began in April; region‐specific start weeks varied by 7 weeks. Duration of RSV activity did not vary widely by region (16–18 weeks in duration). National influenza activity started in June; region‐specific start weeks varied by 3 weeks. Duration of influenza epidemic activity varied more by region than that of RSV (7–13 weeks in duration). Conclusion In Argentina, RSV and influenza activity overlapped during the winter months. RSV season tended to begin prior to the influenza season, and showed more variation in start week by region. Influenza seasons tended to vary more in duration than RSV seasons.
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Affiliation(s)
- Elsa Baumeister
- Servicio Virosis Respiratorias, Instituto Nacional de Enfermedades Infecciosas, INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Jazmin Duque
- Influenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.,Battelle Atlanta, Atlanta, Georgia
| | - Teresa Varela
- Sistema Nacional de Vigilancia por Laboratorio, Sistema Nacional de Vigilancia de la Salud, Ministerio de Salud de la Nación, Buenos Aires, Argentina
| | - Rakhee Palekar
- Influenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.,Pan American Health Organization, Washington, District of Columbia
| | - Paula Couto
- Pan American Health Organization, Washington, District of Columbia
| | - Vilma Savy
- Servicio Virosis Respiratorias, Instituto Nacional de Enfermedades Infecciosas, INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | | | - Amber K Haynes
- Division of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brian Rha
- Division of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carmen S Arriola
- Influenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Susan I Gerber
- Division of Viral Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eduardo Azziz-Baumgartner
- Influenza Division, National Center for Immunization and Respiratory Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.,U.S. Public Health Service, Rockville, Maryland
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