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Jallow MM, Barry MA, Ndiaye NK, Touré CT, Talla C, Kiori D, Sagne SN, Sy S, Goudiaby D, Niang MN, Diagne MM, Fall G, Loucoubar C, Dia N. Genetic and antigenic characterization of influenza A(H3N2) virus after 13 consecutive years of influenza surveillance in Senegal, 2010-2022. J Med Virol 2024; 96:e70010. [PMID: 39443827 DOI: 10.1002/jmv.70010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 09/13/2024] [Accepted: 10/08/2024] [Indexed: 10/25/2024]
Abstract
Despite decades of influenza surveillance in many African countries, little is known about the evolutionary dynamics of seasonal influenza viruses. This study aimed to characterize the epidemiological, genetic and antigenic profiles of A/H3N2 viruses in Senegal from 2010 to 2022. A/H3N2 infection was confirmed using reverse transcription-polymerase chain reaction. Subsequently, a representative of A/H3N2 isolates was selected for genome sequencing. Predicted vaccine efficacy was measured using the Pepitope model. During the study period, 22638 samples were tested and influenza was detected in 31.8%, among which type A was confirmed in 78.1%. Of the Influenza A cases, the H3N2 subtype was detected in 29.8%, peaking at expected times during the rainy season. Genome sequencing of 123A/H3N2 isolates yielded 24 complete and 99 partial genomic sequences. Phylogenetic analysis revealed the circulation of multiple clades of A/H3N2 in Senegal, including 2a.3, 3C.2 and 3C.3a. A/H3N2 isolates were mainly susceptible to the influenza antiviral drugs oseltamivir and zanamivir, but the primary adamantine-resistance marker, S31N was encountered in all isolates. At least nine potential N-linked glycosylation sites were predicted among A/H3N2 strains, six of which (at positions 24, 38, 79, 181, 262 and 301) remains conserved among all isolates. Antigenic distances between circulating strains and vaccine viruses indicated varying vaccine efficacies, from suboptimal to moderate protection. The findings emphasize the need to enhance local genomic and antigenic surveillance and further research on influenza epidemiology and genetic evolution in sub-Saharan Africa.
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MESH Headings
- Senegal/epidemiology
- Humans
- Influenza, Human/epidemiology
- Influenza, Human/virology
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/isolation & purification
- Influenza A Virus, H3N2 Subtype/classification
- Phylogeny
- Adult
- Antigens, Viral/genetics
- Antigens, Viral/immunology
- Young Adult
- Child, Preschool
- Female
- Middle Aged
- Adolescent
- Male
- Child
- Aged
- Antiviral Agents/therapeutic use
- Infant
- Influenza Vaccines/immunology
- Epidemiological Monitoring
- Genome, Viral
- Seasons
- Drug Resistance, Viral/genetics
- Vaccine Efficacy
- Evolution, Molecular
- Aged, 80 and over
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Affiliation(s)
| | - Mamadou Aliou Barry
- Institut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, Dakar, Sénégal
| | | | | | - Cheikh Talla
- Institut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, Dakar, Sénégal
| | - Davy Kiori
- Département de Virologie, Institut Pasteur de Dakar, Dakar, Sénégal
| | - Samba Niang Sagne
- Institut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, Dakar, Sénégal
| | - Sara Sy
- Département de Virologie, Institut Pasteur de Dakar, Dakar, Sénégal
| | - Deborah Goudiaby
- Département de Virologie, Institut Pasteur de Dakar, Dakar, Sénégal
| | | | | | - Gamou Fall
- Département de Virologie, Institut Pasteur de Dakar, Dakar, Sénégal
| | - Cheikh Loucoubar
- Institut Pasteur de Dakar, Unité d'Epidémiologie des maladies infectieuses, Dakar, Sénégal
| | - Ndongo Dia
- Département de Virologie, Institut Pasteur de Dakar, Dakar, Sénégal
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Khanh NC, Fowlkes AL, Nghia ND, Duong TN, Tu NH, Tu TA, McFarland JW, Nguyen TTM, Ha NT, Gould PL, Thanh PN, Trang NTH, Mai VQ, Thi PN, Otsu S, Azziz-Baumgartner E, Anh DD, Iuliano AD. Burden of Influenza-Associated Respiratory Hospitalizations, Vietnam, 2014-2016. Emerg Infect Dis 2021; 27:2648-2657. [PMID: 34545793 PMCID: PMC8462305 DOI: 10.3201/eid2710.204765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Influenza burden estimates are essential to informing prevention and control policies. To complement recent influenza vaccine production capacity in Vietnam, we used acute respiratory infection (ARI) hospitalization data, severe acute respiratory infection (SARI) surveillance data, and provincial population data from 4 provinces representing Vietnam’s major regions during 2014–2016 to calculate provincial and national influenza-associated ARI and SARI hospitalization rates. We determined the proportion of ARI admissions meeting the World Health Organization SARI case definition through medical record review. The mean influenza-associated hospitalization rates per 100,000 population were 218 (95% uncertainty interval [UI] 197–238) for ARI and 134 (95% UI 119–149) for SARI. Influenza-associated SARI hospitalization rates per 100,000 population were highest among children <5 years of age (1,123; 95% UI 946–1,301) and adults >65 years of age (207; 95% UI 186–227), underscoring the need for prevention and control measures, such as vaccination, in these at-risk populations.
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Belazi S, Olsen SJ, Brown C, Green HK, Mook P, Nguyen-Van-Tam J, Penttinen P, Lansbury L. Spotlight influenza: Laboratory-confirmed seasonal influenza in people with acute respiratory illness: a literature review and meta-analysis, WHO European Region, 2004 to 2017. Euro Surveill 2021; 26:2000343. [PMID: 34596019 PMCID: PMC8485580 DOI: 10.2807/1560-7917.es.2021.26.39.2000343] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 12/08/2020] [Indexed: 12/31/2022] Open
Abstract
BackgroundAcross the World Health Organization European Region, there are few estimates of the proportion of people seeking medical care for influenza-like illness or acute respiratory infections and who have laboratory-confirmed seasonal influenza infection.MethodsWe conducted a meta-analysis of data extracted from studies published between 2004 and 2017 and from sentinel data from the European surveillance system (TESSy) between 2004 and 2018. We pooled within-season estimates by influenza type/subtype, setting (outpatient (OP)/inpatient (IP)) and age group to estimate the proportion of people tested who have laboratory-confirmed and medically-attended seasonal influenza in Europe.ResultsIn the literature review, the pooled proportion for all influenza types was 33% (95% confidence interval (CI): 30-36), higher among OP 36% (95% CI: 33-40) than IP 24% (95% CI: 20-29). Pooled estimates for all influenza types by age group were: 0-17 years, 26% (22-31); 18-64 years, 41% (32-50); ≥ 65 years, 33% (27-40). From TESSy data, 33% (31-34) of OP and 24% (21-27) of IP were positive. The highest proportion of influenza A was in people aged 18-64 years (22%, 16-29). By subtype, A(H1N1)pdm09 was highest in 18-64 year-olds (16%, 11-21%) whereas A(H3N2) was highest in those ≥ 65 years (10%, 2-22). For influenza B, the highest proportion of infections was in those aged 18-64 years (15%, 9-24).ConclusionsLaboratory-confirmed influenza accounted for approximately one third of all acute respiratory infections for which medical care was sought during the influenza season.
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Affiliation(s)
- Sara Belazi
- Division of Epidemiology and Public Health, University of Nottingham, Nottingham, United Kingdom
| | | | | | | | - Piers Mook
- WHO Regional Office for Europe, Copenhagen, Denmark
| | - Jonathan Nguyen-Van-Tam
- Division of Epidemiology and Public Health, University of Nottingham, Nottingham, United Kingdom
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Louise Lansbury
- Division of Epidemiology and Public Health, University of Nottingham, Nottingham, United Kingdom
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Johnson EK, Sylte D, Chaves SS, Li Y, Mahe C, Nair H, Paget J, van Pomeren T, Shi T, Viboud C, James SL. Hospital utilization rates for influenza and RSV: a novel approach and critical assessment. Popul Health Metr 2021; 19:31. [PMID: 34126993 PMCID: PMC8204427 DOI: 10.1186/s12963-021-00252-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/31/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Influenza and respiratory syncytial virus (RSV) contribute significantly to the burden of acute lower respiratory infection (ALRI) inpatient care, but heterogeneous coding practices and availability of inpatient data make it difficult to estimate global hospital utilization for either disease based on coded diagnoses alone. METHODS This study estimates rates of influenza and RSV hospitalization by calculating the proportion of ALRI due to influenza and RSV and applying this proportion to inpatient admissions with ALRI coded as primary diagnosis. Proportions of ALRI attributed to influenza and RSV were extracted from a meta-analysis of 360 total sources describing inpatient hospital admissions which were input to a Bayesian mixed effects model over age with random effects over location. Results of this model were applied to inpatient admission datasets for 44 countries to produce rates of hospital utilization for influenza and RSV respectively, and rates were compared to raw coded admissions for each disease. RESULTS For most age groups, these methods estimated a higher national admission rate than the rate of directly coded influenza or RSV admissions in the same inpatient sources. In many inpatient sources, International Classification of Disease (ICD) coding detail was insufficient to estimate RSV burden directly. The influenza inpatient burden estimates in older adults appear to be substantially underestimated using this method on primary diagnoses alone. Application of the mixed effects model reduced heterogeneity between countries in influenza and RSV which was biased by coding practices and between-country variation. CONCLUSIONS This new method presents the opportunity of estimating hospital utilization rates for influenza and RSV using a wide range of clinical databases. Estimates generally seem promising for influenza and RSV associated hospitalization, but influenza estimates from primary diagnosis seem highly underestimated among older adults. Considerable heterogeneity remains between countries in ALRI coding (i.e., primary vs non-primary cause), and in the age profile of proportion positive for influenza and RSV across studies. While this analysis is interesting because of its wide data utilization and applicability in locations without laboratory-confirmed admission data, understanding the sources of variability and data quality will be essential in future applications of these methods.
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Affiliation(s)
- Emily K Johnson
- Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA.
| | - Dillon Sylte
- Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Sandra S Chaves
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
- Vaccine Epidemiology and Modeling Department, Sanofi Pasteur, Lyon, France
| | - You Li
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Cedric Mahe
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
- Vaccine Epidemiology and Modeling Department, Sanofi Pasteur, Lyon, France
| | - Harish Nair
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - John Paget
- Netherlands Institute for Health Services Research (Nivel), Utrecht, Netherlands
| | - Tayma van Pomeren
- Netherlands Institute for Health Services Research (Nivel), Utrecht, Netherlands
| | - Ting Shi
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Cecile Viboud
- Fogarty International Center, National Institutes of Health, Bethesda, USA
| | - Spencer L James
- Institute of Health Metrics and Evaluation, University of Washington, Seattle, USA
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5
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Cheng KJG, Rivera AS, Lam HY, Ulitin AR, Nealon J, Dizon R, Wu DBC. Influenza-associated excess mortality in the Philippines, 2006-2015. PLoS One 2020; 15:e0234715. [PMID: 32555618 PMCID: PMC7299398 DOI: 10.1371/journal.pone.0234715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 06/01/2020] [Indexed: 01/22/2023] Open
Abstract
Influenza-associated mortality has not been quantified in the Philippines. Here, we constructed multiple negative binomial regression models to estimate the overall and age-specific excess mortality rates (EMRs) associated with influenza in the Philippines from 2006 to 2015. The regression analyses used all-cause mortality as the dependent variable and meteorological controls, time, influenza A and B positivity rates (lagged for up to two time periods), and annual and semiannual cyclical seasonality controls as independent variables. The regression models closely matched observed all-cause mortality. Influenza was estimated to account for a mean of 5,347 excess deaths per year (1.1% of annual all-cause deaths) in the Philippines, most of which (67.1%) occurred in adults aged ≥60 years. Influenza A accounted for 85.7% of all estimated excess influenza deaths. The annual estimated influenza-attributable EMR was 5.09 (95% CI: 2.20–5.09) per 100,000 individuals. The EMR was highest for individuals aged ≥60 years (44.63 [95% CI: 4.51–44.69] per 100,000), second highest for children aged less than 5 years (2.14 [95% CI: 0.44–2.19] per 100,000), and lowest for individuals aged 10 to 19 years (0.48 [95% CI: 0.10–0.50] per 100,000). Estimated numbers of excess influenza-associated deaths were considerably higher than the numbers of influenza deaths registered nationally. Our results suggest that influenza causes considerable mortality in the Philippines–to an extent far greater than observed from national statistics–especially among older adults and young children.
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Affiliation(s)
- Kent Jason Go Cheng
- Social Science Department, Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, United States of America
- * E-mail:
| | - Adovich Sarmiento Rivera
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Hilton Yu Lam
- Institute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, Manila, Philippines
| | - Allan Rodriguez Ulitin
- Institute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, Manila, Philippines
| | - Joshua Nealon
- Vaccines Epidemiology and Modeling, Sanofi Pasteur, Singapore, Singapore
| | - Ruby Dizon
- Medical Affairs, Sanofi Pasteur, Taguig City, Metropolitan Manila, Philippines
| | - David Bin-Chia Wu
- Faculty of Pharmacy and Pharmaceutical Sciences, Monash University Malaysia, Selangor, Malaysia
- Asian Centre for Evidence Synthesis in Population, Implementation and Clinical Outcomes, Health and Well-Being Cluster, Global Asia in the 21st Century Platform, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
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6
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Rivas MJ, Alegretti M, Cóppola L, Ramas V, Chiparelli H, Goñi N. Epidemiology and Genetic Variability of Circulating Influenza B Viruses in Uruguay, 2012-2019. Microorganisms 2020; 8:E591. [PMID: 32325860 PMCID: PMC7232498 DOI: 10.3390/microorganisms8040591] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/31/2020] [Accepted: 04/05/2020] [Indexed: 02/07/2023] Open
Abstract
Influenza B viruses (IBV) are an important cause of morbidity and mortality during interpandemic periods in the human population. Two phylogenetically distinct IBV lineages, B/Yamagata and B/Victoria, co-circulate worldwide and they present challenges for vaccine strain selection. Until the present study, there was little information regarding the pattern of the circulating strains of IBV in Uruguay. A subset of positive influenza B samples from influenza-like illness (ILI) outpatients and severe acute respiratory illness (SARI) inpatients detected in sentinel hospitals in Uruguay during 2012-2019 were selected. The sequencing of the hemagglutinin (HA) and neuraminidase (NA) genes showed substitutions at the amino acid level. Phylogenetic analysis reveals the co-circulation of both lineages in almost all seasonal epidemics in Uruguay, and allows recognizing a lineage-level vaccine mismatch in approximately one-third of the seasons studied. The epidemiological results show that the proportion of IBV found in ILI was significantly higher than the observed in SARI cases across different groups of age (9.7% ILI, 3.2% SARI) and patients between 5-14 years constituted the majority (33%) of all influenza B infection (p < 0.05). Interestingly, we found that individuals >25 years were particularly vulnerable to Yamagata lineage infections.
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Affiliation(s)
- María José Rivas
- Centro Nacional de Referencia de Influenza, Unidad de Virología, Departamento de Laboratorios de Salud Pública, Ministerio de Salud, Montevideo 11600, Uruguay; (M.J.R.); (L.C.); (V.R.); (H.C.)
| | - Miguel Alegretti
- Departamento de Vigilancia en Salud, Ministerio de Salud, Montevideo 11200, Uruguay;
| | - Leticia Cóppola
- Centro Nacional de Referencia de Influenza, Unidad de Virología, Departamento de Laboratorios de Salud Pública, Ministerio de Salud, Montevideo 11600, Uruguay; (M.J.R.); (L.C.); (V.R.); (H.C.)
| | - Viviana Ramas
- Centro Nacional de Referencia de Influenza, Unidad de Virología, Departamento de Laboratorios de Salud Pública, Ministerio de Salud, Montevideo 11600, Uruguay; (M.J.R.); (L.C.); (V.R.); (H.C.)
| | - Héctor Chiparelli
- Centro Nacional de Referencia de Influenza, Unidad de Virología, Departamento de Laboratorios de Salud Pública, Ministerio de Salud, Montevideo 11600, Uruguay; (M.J.R.); (L.C.); (V.R.); (H.C.)
| | - Natalia Goñi
- Centro Nacional de Referencia de Influenza, Unidad de Virología, Departamento de Laboratorios de Salud Pública, Ministerio de Salud, Montevideo 11600, Uruguay; (M.J.R.); (L.C.); (V.R.); (H.C.)
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Feng L, Feng S, Chen T, Yang J, Lau YC, Peng Z, Li L, Wang X, Wong JYT, Qin Y, Bond HS, Zhang J, Fang VJ, Zheng J, Yang J, Wu P, Jiang H, He Y, Cowling BJ, Yu H, Shu Y, Lau EHY. Burden of influenza-associated outpatient influenza-like illness consultations in China, 2006-2015: A population-based study. Influenza Other Respir Viruses 2020; 14:162-172. [PMID: 31872547 PMCID: PMC7040965 DOI: 10.1111/irv.12711] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 12/04/2019] [Accepted: 12/08/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Human influenza virus infections cause a considerable burden of morbidity and mortality worldwide each year. Understanding regional influenza-associated outpatient burden is crucial for formulating control strategies against influenza viruses. METHODS We extracted the national sentinel surveillance data on outpatient visits due to influenza-like-illness (ILI) and virological confirmation of sentinel specimens from 30 provinces of China from 2006 to 2015. Generalized additive regression models were fitted to estimate influenza-associated excess ILI outpatient burden for each individual province, accounting for seasonal baselines and meteorological factors. RESULTS Influenza was associated with an average of 2.5 excess ILI consultations per 1000 person-years (py) in 30 provinces of China each year from 2006 to 2015. Influenza A(H1N1)pdm09 led to a higher number of influenza-associated ILI consultations in 2009 across all provinces compared with other years. The excess ILI burden was 4.5 per 1000 py among children aged below 15 years old, substantially higher than that in adults. CONCLUSIONS Human influenza viruses caused considerable impact on population morbidity, with a consequent healthcare and economic burden. This study provided the evidence for planning of vaccination programs in China and a framework to estimate burden of influenza-associated outpatient consultations.
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Affiliation(s)
- Luzhao Feng
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
| | - Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Tao Chen
- National Institute for Viral Disease Control and PreventionCollaboration Innovation Center for Diagnosis and Treatment of Infectious DiseasesChinese Center for Disease Control and PreventionBeijingChina
| | - Juan Yang
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Public Health SafetyMinistry of EducationSchool of Public HealthFudan UniversityShanghaiChina
| | - Yiu Chung Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Zhibin Peng
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
| | - Li Li
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Xiling Wang
- Key Laboratory of Public Health SafetyMinistry of EducationSchool of Public HealthFudan UniversityShanghaiChina
| | - Jessica Y. T. Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Ying Qin
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
| | - Helen S. Bond
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Juanjuan Zhang
- Key Laboratory of Public Health SafetyMinistry of EducationSchool of Public HealthFudan UniversityShanghaiChina
| | - Vicky J. Fang
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Jiandong Zheng
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
| | - Jing Yang
- National Institute for Viral Disease Control and PreventionCollaboration Innovation Center for Diagnosis and Treatment of Infectious DiseasesChinese Center for Disease Control and PreventionBeijingChina
| | - Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Hui Jiang
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
| | - Yangni He
- Key Laboratory of Public Health SafetyMinistry of EducationSchool of Public HealthFudan UniversityShanghaiChina
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
| | - Hongjie Yu
- Key Laboratory of Surveillance and Early‐warning on Infectious DiseaseDivision of Infectious DiseaseChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Public Health SafetyMinistry of EducationSchool of Public HealthFudan UniversityShanghaiChina
| | - Yuelong Shu
- National Institute for Viral Disease Control and PreventionCollaboration Innovation Center for Diagnosis and Treatment of Infectious DiseasesChinese Center for Disease Control and PreventionBeijingChina
- School of Public Health (Shenzhen)Sun Yat‐sen UniversityShenzhenChina
| | - Eric H. Y. Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina
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Hosseini S, Karami M, Farhadian M, Mohammadi Y. Seasonal Activity of Influenza in Iran: Application of Influenza-like Illness Data from Sentinel Sites of Healthcare Centers during 2010 to 2015. J Epidemiol Glob Health 2019; 8:29-33. [PMID: 30859784 PMCID: PMC7325813 DOI: 10.2991/j.jegh.2018.08.100] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 06/21/2018] [Indexed: 11/26/2022] Open
Abstract
This study aimed to predict seasonal influenza activity and detection of influenza outbreaks. Data of all registered cases (n = 53,526) of influenza-like illnesses (ILIs) from sentinel sites of healthcare centers in Iran were obtained from the FluNet web-based tool, World Health Organization (WHO), from 2010 to 2015. The status of the ILI activity was obtained from the FluNet and considered as the gold standard of the seasonal activity of influenza during the study period. The cumulative sum (CUSUM) as an outbreak detection method was used to predict the seasonal activity of influenza. Also, time series similarity between the ILI trend and CUSUM was assessed using the cross-correlogram. Of 7684 (14%) positive cases of influenza, about 71% were type A virus and 28% were type B virus. The majority of the outbreaks occurred in winter and autumn. Results of the cross-correlogram showed that there was a considerable similarity between time series graphs of the ILI cases and CUSUM values. However, the CUSUM algorithm did not have a good performance in the timely detection of influenza activity. Despite a considerable similarity between time series of the ILI cases and CUSUM algorithm in weekly lag, the seasonal activity of influenza in Iran could not be predicted by the CUSUM algorithm.
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Affiliation(s)
- Seyedhadi Hosseini
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Manoochehr Karami
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.,Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Maryam Farhadian
- Modeling of Non-communicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Younes Mohammadi
- Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
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Lafond KE, Praptiningsih CY, Mangiri A, Syarif M, Triada R, Mulyadi E, Septiawati C, Setiawaty V, Samaan G, Storms AD, Uyeki TM, Iuliano AD. Seasonal Influenza and Avian Influenza A(H5N1) Virus Surveillance among Inpatients and Outpatients, East Jakarta, Indonesia, 2011-2014. Emerg Infect Dis 2019; 25:2031-2039. [PMID: 31625837 PMCID: PMC6810195 DOI: 10.3201/eid2511.181844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
During October 2011-September 2014, we screened respiratory specimens for seasonal and avian influenza A(H5N1) virus infections among outpatients with influenza-like illness and inpatients with severe acute respiratory infection (SARI) in East Jakarta, an Indonesia district with high incidence of H5N1 virus infection among poultry. In total, 31% (1,875/6,008) of influenza-like illness case-patients and 15% (571/3,811) of SARI case-patients tested positive for influenza virus. Influenza A(H1N1)pdm09, influenza A(H3N2), and influenza B virus infections were detected in all 3 years, and the epidemic season extended from November through May. Although 28% (2,810/10,135) of case-patients reported exposure to poultry, only 1 SARI case-patient with an H5N1 virus infection was detected. Therefore, targeted screening among case-patients with high-risk poultry exposures (e.g., a recent visit to a live bird market or close proximity to sick or dead poultry) may be a more efficient routine surveillance strategy for H5N1 virus in these types of settings.
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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: 4.2] [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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11
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Niang MN, Barry MA, Talla C, Mbengue A, Sarr FD, Ba IO, Hedible BG, Ndoye B, Vray M, Dia N. Estimation of the burden of flu-association influenza-like illness visits on total clinic visits through the sentinel influenza monitoring system in Senegal during the 2013-2015 influenza seasons. Epidemiol Infect 2018; 146:2049-2055. [PMID: 30196797 PMCID: PMC6453003 DOI: 10.1017/s0950268818002418] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 06/28/2018] [Accepted: 07/30/2018] [Indexed: 11/06/2022] Open
Abstract
Knowing the burden of influenza is helpful for policy decisions. Here we estimated the contribution of influenza-like illness (ILI) visits associated with laboratory-confirmed influenza among all clinic visits in a Senegal sentinel network. ILI data from ten sentinel sites were collected from January 2013 to December 2015. ILI was defined as an axillary measured fever of more than 37.5 °C with a cough or a sore throat. Collected nasopharyngeal swabs were tested for influenza viruses by rRT-PCR. Influenza-associated ILI was defined as ILI with laboratory-confirmed influenza. For the influenza disease burden estimation, we used all-case outpatient visits during the study period who sought care at selected sites. Of 4030 ILI outpatients tested, 1022 were influenza positive. The estimated proportional contribution of influenza-associated ILI was, per 100 outpatients, 1.2 (95% CI 1.1-1.3), 0.32 (95% CI 0.28-0.35), 1.11 (95% CI 1.05-1.16) during 2013, 2014, 2015, respectively. The age-specific outpatient visits proportions of influenza-associated ILI were higher among children under 5 years (0.68%, 95% CI: 0.62-0.70). The predominant virus during years 2013 and 2015 was influenza B while A/H3N2 subtype was predominant during 2014. Influenza viruses cause a substantial burden of outpatient visits particularly among children under 5 of age in Senegal and highlight the need of vaccination in risk groups.
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Affiliation(s)
- M. N. Niang
- Virology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - M. A. Barry
- Epidemiology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - C. Talla
- Epidemiology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - A. Mbengue
- Virology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - F. D. Sarr
- Epidemiology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - I. O. Ba
- World Health Organization local office, Dakar, Senegal
| | - B. G. Hedible
- Epidemiology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - B. Ndoye
- Ministry of Health, Dakar, Senegal
| | - M. Vray
- Epidemiology Unit, Institut Pasteur de Dakar, Dakar, Senegal
| | - N. Dia
- Virology Unit, Institut Pasteur de Dakar, Dakar, Senegal
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12
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Lam HM, Wesolowski A, Hung NT, Nguyen TD, Nhat NTD, Todd S, Vinh DN, Vy NHT, Thao TTN, Thanh NTL, Tin PT, Minh NNQ, Bryant JE, Buckee CO, Ngoc TV, Chau NVV, Thwaites GE, Farrar J, Tam DTH, Vinh H, Boni MF. Nonannual seasonality of influenza-like illness in a tropical urban setting. Influenza Other Respir Viruses 2018; 12:742-754. [PMID: 30044029 PMCID: PMC6185894 DOI: 10.1111/irv.12595] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 07/04/2018] [Accepted: 07/06/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND In temperate and subtropical climates, respiratory diseases exhibit seasonal peaks in winter. In the tropics, with no winter, peak timings are irregular. METHODS To obtain a detailed picture of influenza-like illness (ILI) patterns in the tropics, we established an mHealth study in community clinics in Ho Chi Minh City (HCMC). During 2009-2015, clinics reported daily case numbers via SMS, with a subset performing molecular diagnostics for influenza virus. This real-time epidemiology network absorbs 6000 ILI reports annually, one or two orders of magnitude more than typical surveillance systems. A real-time online ILI indicator was developed to inform clinicians of the daily ILI activity in HCMC. RESULTS From August 2009 to December 2015, 63 clinics were enrolled and 36 920 SMS reports were received, covering approximately 1.7M outpatient visits. Approximately 10.6% of outpatients met the ILI case definition. ILI activity in HCMC exhibited strong nonannual dynamics with a dominant periodicity of 206 days. This was confirmed by time series decomposition, stepwise regression, and a forecasting exercise showing that median forecasting errors are 30%-40% lower when using a 206-day cycle. In ILI patients from whom nasopharyngeal swabs were taken, 31.2% were positive for influenza. There was no correlation between the ILI time series and the time series of influenza, influenza A, or influenza B (all P > 0.15). CONCLUSION This suggests, for the first time, that a nonannual cycle may be an essential driver of respiratory disease dynamics in the tropics. An immunological interference hypothesis is discussed as a potential underlying mechanism.
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Affiliation(s)
- Ha Minh Lam
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Amy Wesolowski
- Center for Communicable Disease DynamicsDepartment of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusetts
- Department of Ecology and Evolutionary BiologyPrinceton UniversityPrincetonNew Jersey
| | - Nguyen Thanh Hung
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Tran Dang Nguyen
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Nguyen Thi Duy Nhat
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Stacy Todd
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Liverpool School of Tropical MedicineLiverpoolUK
| | - Dao Nguyen Vinh
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Nguyen Ha Thao Vy
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Tran Thi Nhu Thao
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Nguyen Thi Le Thanh
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | | | - Ngo Ngoc Quang Minh
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Children's Hospital No. 1Ho Chi Minh CityVietnam
| | - Juliet E. Bryant
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Centre for Tropical Medicine and Global HealthNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Caroline O. Buckee
- Center for Communicable Disease DynamicsDepartment of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusetts
| | - Tran Van Ngoc
- Hospital for Tropical DiseasesHo Chi Minh CityVietnam
| | | | - Guy E. Thwaites
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Centre for Tropical Medicine and Global HealthNuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Jeremy Farrar
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Wellcome TrustLondonUK
| | - Dong Thi Hoai Tam
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
| | - Ha Vinh
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Hospital for Tropical DiseasesHo Chi Minh CityVietnam
- Department of Infectious DiseasesPham Ngoc Thach University of MedicineHo Chi Minh CityVietnam
| | - Maciej F. Boni
- Oxford University Clinical Research UnitWellcome Trust Major Overseas ProgrammeHo Chi Minh CityVietnam
- Centre for Tropical Medicine and Global HealthNuffield Department of MedicineUniversity of OxfordOxfordUK
- Center for Infectious Disease DynamicsDepartment of BiologyPennsylvania State UniversityUniversity ParkPennsylvania
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13
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Thapa B, Roguski K, Azziz-Baumgartner E, Siener K, Gould P, Jamtsho T, Wangchuk S. The burden of influenza-associated respiratory hospitalizations in Bhutan, 2015-2016. Influenza Other Respir Viruses 2018; 13:28-35. [PMID: 30137672 PMCID: PMC6304319 DOI: 10.1111/irv.12605] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 05/31/2018] [Accepted: 08/19/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Influenza burden estimates help provide evidence to support influenza prevention and control programs. In this study, we estimated influenza-associated respiratory hospitalization rates in Bhutan, a country considering influenza vaccine introduction. METHODS Using real-time reverse transcription-polymerase chain reaction laboratory results from severe acute respiratory infection (SARI) surveillance, we estimated the proportion of respiratory hospitalizations attributable to influenza each month among patients aged <5, 5-49, and ≥50 years in six Bhutanese districts for 2015 and 2016. We divided the sum of the monthly influenza-attributed hospitalizations by the total of the six district populations to generate age-specific rates for each year. RESULTS In 2015, 10% of SARI patients tested positive for influenza (64/659) and 18% tested positive (129/736) in 2016. The incidence of influenza-associated hospitalizations among all age groups was 50/100 000 persons (95% confidence interval [CI]: 45-55) in 2015 and 118/100 000 persons (95% CI: 110-127) in 2016. The highest rates were among children <5 years: 182/100 000 (95% CI: 153-210) in 2015 and 532/100 000 (95% CI: 473-591) in 2016. The second highest influenza-associated hospitalization rates were among adults ≥50 years: 110/100 000 (95% CI: 91-130) in 2015 and 193/100 000 (95% CI: 165-221) in 2016. CONCLUSIONS Influenza viruses were associated with a substantial burden of severe illness requiring hospitalization especially among children and older adults. These findings can be used to understand the potential impact of seasonal influenza vaccination in these age groups.
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Affiliation(s)
- Binay Thapa
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Karen Siener
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Philip Gould
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Regional Office for South East Asia, World Health Organization, New Delhi, India
| | - Thinley Jamtsho
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
| | - Sonam Wangchuk
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
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14
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Ram Purakayastha D, Vishnubhatla S, Rai SK, Broor S, Krishnan A. Estimation of Burden of Influenza among under-Five Children in India: A Meta-Analysis. J Trop Pediatr 2018; 64:441-453. [PMID: 29112737 DOI: 10.1093/tropej/fmx087] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND We estimated the burden of influenza-related acute respiratory tract infection (ARI) among under-fives in India through meta-analysis. METHODOLOGY We estimated pooled incidence and proportional positivity of laboratory-diagnosed influenza among under-fives using data from observational studies published from 1 January 1961 to 31 December 2016. Death due to influenza was estimated using a multiplier model. RESULTS Influenza-associated ARI incidence was estimated as 132 per 1000 child-years (115-149). The patients positive for influenza among ARI in outpatients and inpatients were estimated to be 11.2% (8.8-13.6) and 7.1% (5.5-8.8), respectively. We estimated total influenza cases during 2016 as 16 009 207 (13 942 916-18 082 769) in India. Influenza accounted for 10 913 476 (9 504 666-12 362 310) outpatient visits and 109 431 (83 882-134 980) hospitalizations. A total of 27 825 (21 382-34 408) influenza-associated under-five deaths were estimated in India in 2016. CONCLUSION Influenza imposes a substantial burden among under-fives in India. Public health approach for its prevention and control needs to be explored.
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Affiliation(s)
- Debjani Ram Purakayastha
- Centre for Community Medicine, All India Institute of Medical Sciences, AIIMS Campus, Ansari Nagar East, New Delhi, India
| | - Sreenivas Vishnubhatla
- Department of Biostatistics, All India Institute of Medical Sciences, AIIMS Campus, Ansari Nagar East, New Delhi, India
| | - Sanjay Kumar Rai
- Centre for Community Medicine, All India Institute of Medical Sciences, AIIMS Campus, Ansari Nagar East, New Delhi, India
| | - Sobha Broor
- Department of Microbiology, Faculty of Medicine and health Sciences, SGT University, Chandu-Budhera, Gurugram-Badli Road, Gurgaon, Haryana, India
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, AIIMS Campus, Ansari Nagar East, New Delhi, India
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15
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Jennings L, Huang QS, Barr I, Lee PI, Kim WJ, Buchy P, Sanicas M, Mungall BA, Chen J. Literature review of the epidemiology of influenza B disease in 15 countries in the Asia-Pacific region. Influenza Other Respir Viruses 2018; 12:383-411. [PMID: 29127742 PMCID: PMC5907823 DOI: 10.1111/irv.12522] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2017] [Indexed: 01/06/2023] Open
Abstract
Influenza control strategies focus on the use of trivalent influenza vaccines containing two influenza A virus subtypes and one of the two circulating influenza type B lineages (Yamagata or Victoria). Mismatches between the vaccine B lineage and the circulating lineage have been regularly documented in many countries, including those in the Asia‐Pacific region. We conducted a literature review with the aim of understanding the relative circulation of influenza B viruses in Asia‐Pacific countries. PubMed and Western Pacific Region Index Medicus were searched for relevant articles on influenza type B published since 1990 in English language for 15 Asia‐Pacific countries. Gray literature was also accessed. From 4834 articles identified, 121 full‐text articles were analyzed. Influenza was reported as an important cause of morbidity in the Asia‐Pacific region, affecting all age groups. In all 15 countries, influenza B was identified and associated with between 0% and 92% of laboratory‐confirmed influenza cases in any one season/year. Influenza type B appeared to cause more illness in children aged between 1 and 10 years than in other age groups. Epidemiological data for the two circulating influenza type B lineages remain limited in several countries in the Asia‐Pacific, although the co‐circulation of both lineages was seen in countries where strain surveillance data were available. Mismatches between circulating B lineages and vaccine strains were observed in all countries with available data. The data suggest that a shift from trivalent to quadrivalent seasonal influenza vaccines could provide additional benefits by providing broader protection.
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Affiliation(s)
- Lance Jennings
- Canterbury District Health Board, Christchurch, New Zealand
| | - Qiu Sue Huang
- WHO National Influenza Centre, Institute of Environmental Science and Research, Porirua, New Zealand
| | - Ian Barr
- WHO Collaborating Centre for Reference and Research on Influenza, Melbourne, VIC, Australia
| | - Ping-Ing Lee
- Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan
| | - Woo Joo Kim
- Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
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16
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Stewart RJ, Ly S, Sar B, Ieng V, Heng S, Sim K, Machingaidze C, Roguski K, Dueger E, Moen A, Tsuyuoka R, Iuliano AD. Using a hospital admission survey to estimate the burden of influenza-associated severe acute respiratory infection in one province of Cambodia-methods used and lessons learned. Influenza Other Respir Viruses 2018; 12:104-112. [PMID: 29453796 PMCID: PMC5818350 DOI: 10.1111/irv.12489] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2017] [Indexed: 01/15/2023] Open
Abstract
Background Understanding the burden of influenza‐associated severe acute respiratory infection (SARI) is important for setting national influenza surveillance and vaccine priorities. Estimating influenza‐associated SARI rates requires hospital‐based surveillance data and a population‐based denominator, which can be challenging to determine. Objectives We present an application of the World Health Organization's recently developed manual (WHO Manual) including hospital admission survey (HAS) methods for estimating the burden of influenza‐associated SARI, with lessons learned to help others calculate similar estimates. Methods Using an existing SARI surveillance platform in Cambodia, we counted influenza‐associated SARI cases during 2015 at one sentinel surveillance site in Svay Rieng Province. We applied WHO Manual‐derived methods to count respiratory hospitalizations at all hospitals within the catchment area, where 95% of the sentinel site case‐patients resided. We used HAS methods to adjust the district‐level population denominator for the sentinel site and calculated the incidence rate of influenza‐associated SARI by dividing the number of influenza‐positive SARI infections by the adjusted population denominator and multiplying by 100 000. We extrapolated the rate to the provincial population to derive a case count for 2015. We evaluated data sources, detailed steps of implementation, and identified lessons learned. Results We estimated an adjusted influenza‐associated 2015 SARI rate of 13.5/100 000 persons for the catchment area of Svay Rieng Hospital and 77 influenza‐associated SARI cases in Svay Rieng Province after extrapolation. Conclusions Methods detailed in the WHO Manual and operationalized successfully in Cambodia can be used in other settings to estimate rates of influenza‐associated SARI.
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Affiliation(s)
- Rebekah J Stewart
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sovann Ly
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Borann Sar
- Influenza Program, United States Centers for Disease Control and Prevention, Phnom Penh, Cambodia
| | - Vanra Ieng
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - Seng Heng
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Kheng Sim
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Chiedza Machingaidze
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - Katherine Roguski
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Erica Dueger
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Emerging Disease Surveillance and Response, World Health Organization Regional Office for the Western Pacific, Manila, Philippines
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Reiko Tsuyuoka
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - A Danielle Iuliano
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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17
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Susilarini NK, Haryanto E, Praptiningsih CY, Mangiri A, Kipuw N, Tarya I, Rusli R, Sumardi G, Widuri E, Sembiring MM, Noviyanti W, Widaningrum C, Lafond KE, Samaan G, Setiawaty V. Estimated incidence of influenza-associated severe acute respiratory infections in Indonesia, 2013-2016. Influenza Other Respir Viruses 2017; 12:81-87. [PMID: 29205865 PMCID: PMC5818340 DOI: 10.1111/irv.12496] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2017] [Indexed: 11/27/2022] Open
Abstract
Background Indonesia's hospital‐based Severe Acute Respiratory Infection (SARI) surveillance system, Surveilans Infeksi Saluran Pernafasan Akut Berat Indonesia (SIBI), was established in 2013. While respiratory illnesses such as SARI pose a significant problem, there are limited incidence‐based data on influenza disease burden in Indonesia. This study aimed to estimate the incidence of influenza‐associated SARI in Indonesia during 2013‐2016 at three existing SIBI surveillance sites. Methods From May 2013 to April 2016, inpatients from sentinel hospitals in three districts of Indonesia (Gunung Kidul, Balikpapan, Deli Serdang) were screened for SARI. Respiratory specimens were collected from eligible inpatients and screened for influenza viruses. Annual incidence rates were calculated using these SIBI‐enrolled influenza‐positive SARI cases as a numerator, with a denominator catchment population defined through hospital admission survey (HAS) to identify respiratory‐coded admissions by age to hospitals in the sentinel site districts. Results From May 2013 to April 2016, there were 1527 SARI cases enrolled, of whom 1392 (91%) had specimens tested and 199 (14%) were influenza‐positive. The overall estimated annual incidence of influenza‐associated SARI ranged from 13 to 19 per 100 000 population. Incidence was highest in children aged 0‐4 years (82‐114 per 100 000 population), followed by children 5‐14 years (22‐36 per 100 000 population). Conclusions Incidence rates of influenza‐associated SARI in these districts indicate a substantial burden of influenza hospitalizations in young children in Indonesia. Further studies are needed to examine the influenza burden in other potential risk groups such as pregnant women and the elderly.
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Affiliation(s)
- Ni K Susilarini
- Center for Research and Development for Biomedical and Basic Technology of Health, NIHRD, Ministry of Health, Central Jakarta, Indonesia
| | - Edy Haryanto
- Acute Respiratory Infection Sub Directorate, Directorate General of Disease Control and Prevention, Ministry of Health, Central Jakarta, Indonesia
| | | | - Amalya Mangiri
- US Centers for Disease Control and Prevention, Jakarta, Indonesia
| | - Natalie Kipuw
- Center for Research and Development for Biomedical and Basic Technology of Health, NIHRD, Ministry of Health, Central Jakarta, Indonesia
| | - Irmawati Tarya
- Acute Respiratory Infection Sub Directorate, Directorate General of Disease Control and Prevention, Ministry of Health, Central Jakarta, Indonesia
| | - Roselinda Rusli
- Center for Research and Development for Biomedical and Basic Technology of Health, NIHRD, Ministry of Health, Central Jakarta, Indonesia
| | - Gestafiana Sumardi
- Acute Respiratory Infection Sub Directorate, Directorate General of Disease Control and Prevention, Ministry of Health, Central Jakarta, Indonesia
| | - Endang Widuri
- World Health Organization, Central Jakarta, Indonesia
| | - Masri M Sembiring
- Center for Research and Development for Biomedical and Basic Technology of Health, NIHRD, Ministry of Health, Central Jakarta, Indonesia
| | - Widya Noviyanti
- Acute Respiratory Infection Sub Directorate, Directorate General of Disease Control and Prevention, Ministry of Health, Central Jakarta, Indonesia
| | - Christina Widaningrum
- Acute Respiratory Infection Sub Directorate, Directorate General of Disease Control and Prevention, Ministry of Health, Central Jakarta, Indonesia
| | - Kathryn E Lafond
- Influenza Division, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Gina Samaan
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia
| | - Vivi Setiawaty
- Center for Research and Development for Biomedical and Basic Technology of Health, NIHRD, Ministry of Health, Central Jakarta, Indonesia
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18
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Kamigaki T, Aldey PP, Mercado ES, Tan AG, Javier JB, Lupisan SP, Oshitani H, Tallo VL. Estimates of influenza and respiratory syncytial virus incidences with fraction modeling approach in Baguio City, the Philippines, 2012-2014. Influenza Other Respir Viruses 2017; 11:311-318. [PMID: 28371393 PMCID: PMC5485869 DOI: 10.1111/irv.12453] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2017] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Estimation of the incidences of influenza and respiratory syncytial virus (RSV) infection is important for disease control. Previous estimate in the city showed a substantial burden of influenza in both outpatients and inpatients while it did not account for individuals who do not seek medical attention nor RSV. PATIENTS/METHODS A total of 17 674 influenza-like illness (ILI) and 13 242 severe acute respiratory illness (SARI) cases were recruited, and samples were collected from 6267 and 2962 of ILI and SARI cases, respectively. RT-PCR assays were performed to detect influenza and RSV in the samples. A health-seeking behavior survey was conducted from February 2014 to April 2014 to estimate the fraction of infected individuals who did not seek medical attention between rainy and dry season. RESULTS Average influenza and RSV incidence rates in outpatients were 1.6 and 1.4 per 1000 individuals, respectively, and the highest incidence rate for both viruses was found in the of 6-23 month age group. Average influenza and RSV hospitalization incidence rates were 1.7 and 1.9 per 1000 individuals, respectively. Further, we estimated that the incidence rates of influenza and RSV in individuals who did not seek medical attention were threefold and 1.6-fold those in the medically attended population. CONCLUSIONS Respiratory syncytial virus and influenza pose a substantial disease burden, particularly in hospitalized cases. The implementation of either a community-based approach or an enhanced surveillance system in combination with a community survey will allow a better understanding of the disease burdens of RSV and influenza in the Philippines.
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Affiliation(s)
- Taro Kamigaki
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Portia P Aldey
- Department of Epidemiology and Biostatistics, Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
| | - Edelwisa S Mercado
- Molecular Biology Laboratory, Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
| | - Alvin G Tan
- Department of Epidemiology and Biostatistics, Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
| | - Jenaline B Javier
- Department of Epidemiology and Biostatistics, Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
| | - Socorro P Lupisan
- Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
| | - Hitoshi Oshitani
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Veronica L Tallo
- Department of Epidemiology and Biostatistics, Department of Health, Research Institute for Tropical Medicine, Manila, Philippines
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Nguyen HKL, Nguyen SV, Nguyen AP, Hoang PMV, Le TT, Nguyen TC, Hoang HT, Vuong CD, Tran LTT, Le MQ. Surveillance of Severe Acute Respiratory Infection (SARI) for Hospitalized Patients in Northern Vietnam, 2011-2014. Jpn J Infect Dis 2017; 70:522-527. [PMID: 28367882 DOI: 10.7883/yoken.jjid.2016.463] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Severe acute respiratory infections (SARI) are leading causes of hospitalization, morbidity, and mortality in children worldwide. The aim of this study was to identify viral pathogens responsible for SARI in northern Vietnam in the period from 2011 to 2014. Throat swabs and tracheal aspirates were collected from SARI patients according to WHO guidelines. The presence of 13 different viral pathogens (influenza A[H1N1]pdm09; A/H3N2; A/H5; A/H7 and B; para influenza 1,2,3; RSV; HMPV; adeno; severe acute respiratory syndrome-CoV and rhino) was tested by conventional/real-time reverse transcription-polymerase chain reaction. During the study period, 975 samples were collected and tested. More than 30% (32.1%, 313 samples) of the samples showed evidence of infection with influenza viruses, including A/H3N2 (48 samples), A (H1N1) pdm09 (221 samples), influenza B (42 samples), and co-infection of A (H1N1) pdm09 or A/H3N2 and influenza B (2 samples). Other respiratory pathogens were detected in 101 samples, including rhinovirus (73 samples), adenovirus (10 samples), hMPV (9 samples), parainfluenza 3 (5 samples), parainfluenza 2 (3 samples), and RSV (1 sample). Influenza A/H5, A/H7, or SARS-CoV were not detected. Respiratory viral infection, particularly infection of influenza and rhinoviruses, were associated with high rates of SARI hospitalization, and future studies correlating the clinical aspects are needed to design interventions, including targeted vaccination.
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Affiliation(s)
| | - Son Vu Nguyen
- Virology Department, National Institute of Hygiene and Epidemiology
| | | | | | - Thanh Thi Le
- Virology Department, National Institute of Hygiene and Epidemiology
| | - Thach Co Nguyen
- Virology Department, National Institute of Hygiene and Epidemiology
| | - Huong Thu Hoang
- Virology Department, National Institute of Hygiene and Epidemiology
| | - Cuong Duc Vuong
- Virology Department, National Institute of Hygiene and Epidemiology
| | | | - Mai Quynh Le
- Virology Department, National Institute of Hygiene and Epidemiology
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Comparison of Influenza Epidemiological and Virological Characteristics between Outpatients and Inpatients in Zhejiang Province, China, March 2011-June 2015. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14020217. [PMID: 28241447 PMCID: PMC5334771 DOI: 10.3390/ijerph14020217] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 02/17/2017] [Accepted: 02/19/2017] [Indexed: 11/18/2022]
Abstract
Given the rapid rate of global spread and consequently healthcare costs related to influenza, surveillance plays an important role in monitoring the emerging pandemics in China. However, the characteristics of influenza in Southeast of China haven’t been fully studied. Our study use the surveillance data collected from 16 sentinel hospitals across Zhejiang Province during March 2011 through June 2015, including the demographic information and respiratory specimens from influenza-like illness (ILI) patients and severe acute respiratory illness (SARI) patients. As analysis results, most SARI and ILI patients were in the age group of 0–4 years old (62.38% of ILI and 71.54% of SARI). The respiratory specimens have statistically significantly higher positive rate for influenza among ILI patients than that among SARI patients (p < 0.001). The comparison between ILI patients and SARI patients shows no statistically significantly difference in detecting influenza virus type and influenza A virus subtype. The SARI and ILI patients were found to be positively correlated for overall positive rate (r = 0.63, p < 0.001), the weekly percentage of A(H1N1)pdm09 (r = 0.51, p < 0.001), influenza B virus (r = 0.17, p = 0.013), and A/H3N2 (r = 0.43, p < 0.001) among all the positive numbers. Our study demonstrated that the activities of influenza virus, including its subtypes, had a similar temporal pattern between ILI and SARI cases.
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Cowling BJ, Caini S, Chotpitayasunondh T, Djauzi S, Gatchalian SR, Huang QS, Koul PA, Lee PI, Muttalif AR, Plotkin S. Influenza in the Asia-Pacific region: Findings and recommendations from the Global Influenza Initiative. Vaccine 2017; 35:856-864. [PMID: 28081970 DOI: 10.1016/j.vaccine.2016.12.064] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 12/15/2016] [Accepted: 12/28/2016] [Indexed: 11/28/2022]
Abstract
The fourth roundtable meeting of the Global Influenza Initiative (GII) was held in Hong Kong, China, in July 2015. An objective of this meeting was to gain a broader understanding of the epidemiology, surveillance, vaccination policies and programs, and obstacles to vaccination of influenza in the Asia-Pacific region through presentations of data from Australia, Hong Kong, India, Indonesia, Malaysia, New Zealand, the Philippines, Taiwan, Thailand, and Vietnam. As well as a need for improved levels of surveillance in some areas, a range of factors were identified that act as barriers to vaccination in some countries, including differences in climate and geography, logistical challenges, funding, lack of vaccine awareness and education, safety concerns, perceived lack of vaccine effectiveness, and lack of inclusion in national guidelines. From the presentations at the meeting, the GII discussed a number of recommendations for easing the burden of influenza and overcoming the current challenges in the Asia-Pacific region. These recommendations encompass the need to improve surveillance and availability of epidemiological data; the development and publication of national guidelines, where not currently available and/or that are in line with those proposed by the World Health Organization; the requirement for optimal timing of vaccination programs according to local or country-specific epidemiology; and calls for advocacy and government support of vaccination programs in order to improve availability and uptake and coverage. In conclusion, in addition to the varied epidemiology of seasonal influenza across this diverse region, there are a number of logistical and resourcing issues that present a challenge to the development of optimally effective vaccination strategies and that need to be overcome to improve access to and uptake of seasonal influenza vaccines. The GII has developed a number of recommendations to address these challenges and improve the control of influenza.
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Affiliation(s)
- Benjamin J Cowling
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region.
| | - Saverio Caini
- NIVEL, Dutch Institute for Health Services Research, Utrecht, The Netherlands
| | - Tawee Chotpitayasunondh
- Queen Sirikit National Institute of Child Health, Ministry of Public Health, Bangkok, Thailand
| | | | - Salvacion R Gatchalian
- University of the Philippines Manila, College of Medicine, Philippine General Hospital, Manila City, Philippines
| | - Q Sue Huang
- Institute of Environmental Science and Research (ESR), Wallaceville, Upper Hutt, New Zealand
| | - Parvaiz A Koul
- Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India
| | - Ping-Ing Lee
- National Taiwan University Children's Hospital, Taipei, Taiwan
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Kamigaki T, Chaw L, Tan AG, Tamaki R, Alday PP, Javier JB, Olveda RM, Oshitani H, Tallo VL. Seasonality of Influenza and Respiratory Syncytial Viruses and the Effect of Climate Factors in Subtropical-Tropical Asia Using Influenza-Like Illness Surveillance Data, 2010 -2012. PLoS One 2016; 11:e0167712. [PMID: 28002419 PMCID: PMC5176282 DOI: 10.1371/journal.pone.0167712] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 11/18/2016] [Indexed: 12/04/2022] Open
Abstract
INTRODUCTION The seasonality of influenza and respiratory syncytial virus (RSV) is well known, and many analyses have been conducted in temperate countries; however, this is still not well understood in tropical countries. Previous studies suggest that climate factors are involved in the seasonality of these viruses. However, the extent of the effect of each climate variable is yet to be defined. MATERIALS AND METHODS We investigated the pattern of seasonality and the effect of climate variables on influenza and RSV at three sites of different latitudes: the Eastern Visayas region and Baguio City in the Philippines, and Okinawa Prefecture in Japan. Wavelet analysis and the dynamic linear regression model were applied. Climate variables used in the analysis included mean temperature, relative and specific humidity, precipitation, and number of rainy days. The Akaike Information Criterion estimated in each model was used to test the improvement of fit in comparison with the baseline model. RESULTS At all three study sites, annual seasonal peaks were observed in influenza A and RSV; peaks were unclear for influenza B. Ranges of climate variables at the two Philippine sites were narrower and mean variables were significantly different among the three sites. Whereas all climate variables except the number of rainy days improved model fit to the local trend model, their contributions were modest. Mean temperature and specific humidity were positively associated with influenza and RSV at the Philippine sites and negatively associated with influenza A in Okinawa. Precipitation also improved model fit for influenza and RSV at both Philippine sites, except for the influenza A model in the Eastern Visayas. CONCLUSIONS Annual seasonal peaks were observed for influenza A and RSV but were less clear for influenza B at all three study sites. Including additional data from subsequent more years would help to ascertain these findings. Annual amplitude and variation in climate variables are more important than their absolute values for determining their effect on the seasonality of influenza and RSV.
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Affiliation(s)
- Taro Kamigaki
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Liling Chaw
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Alvin G. Tan
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Raita Tamaki
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Portia P. Alday
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Jenaline B. Javier
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Remigio M. Olveda
- Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
| | - Hitoshi Oshitani
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Veronica L. Tallo
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Department of Health, Manila, Philippines
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Lucero MG, Inobaya MT, Nillos LT, Tan AG, Arguelles VLF, Dureza CJC, Mercado ES, Bautista AN, Tallo VL, Barrientos AV, Rodriguez T, Olveda RM. National Influenza Surveillance in the Philippines from 2006 to 2012: seasonality and circulating strains. BMC Infect Dis 2016; 16:762. [PMID: 27993136 PMCID: PMC5168815 DOI: 10.1186/s12879-016-2087-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 12/01/2016] [Indexed: 11/15/2022] Open
Abstract
Background The results of routine influenza surveillance in 13 regions in the Philippines from 2006 to 2012 are presented, describing the annual seasonal epidemics of confirmed influenza virus infection, seasonal and alert thresholds, epidemic curve, and circulating influenza strains. Methods Retrospective analysis of Philippine influenza surveillance data from 2006 to 2012 was conducted to determine seasonality with the use of weekly influenza positivity rates and calculating epidemic curves and seasonal and alert thresholds using the World Health Organization (WHO) global epidemiological surveillance standards for influenza. Results Increased weekly influenza positive rates were observed from June to November, coinciding with the rainy season and school opening. Two or more peaks of influenza activity were observed with different dominant influenza types associated with each peak. A-H1N1, A-H3N2, and two types of B viruses circulated during the influenza season in varying proportions every year. Increased influenza activity for 2012 occurred 8 weeks late in week 29, rather than the expected week of rise of cases in week 21 as depicted in the established average epidemic curve and seasonal threshold. The intensity was severe going above the alert threshold but of short duration. Southern Hemisphere vaccine strains matched circulating influenza virus for more surveillance years than Northern Hemisphere vaccine strains. Conclusions Influenza seasonality in the Philippines is from June to November. The ideal time to administer Southern Hemisphere influenza vaccine should be from April to May. With two lineages of influenza B circulating annually, quadrivalent vaccine might have more impact on influenza control than trivalent vaccine. Establishment of thresholds and average epidemic curve provide a tool for policy-makers to assess the intensity or severity of the current influenza epidemic even early in its course, to help plan more precisely resources necessary to control the outbreak. Influenza surveillance activities should be continued in the Philippines and funding for such activities should already be incorporated into the Philippine health budget. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-2087-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marilla G Lucero
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines.
| | - Marianette T Inobaya
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Leilani T Nillos
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Alvin G Tan
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Vina Lea F Arguelles
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Christine Joy C Dureza
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Edelwisa S Mercado
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Analisa N Bautista
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Veronica L Tallo
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Agnes V Barrientos
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
| | - Tomas Rodriguez
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Remigio M Olveda
- Department of Health, Research Institute for Tropical Medicine, Filinvest Corporate City, Alabang, Muntinlupa City, Philippines
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Abadom TR, Smith AD, Tempia S, Madhi SA, Cohen C, Cohen AL. Risk factors associated with hospitalisation for influenza-associated severe acute respiratory illness in South Africa: A case-population study. Vaccine 2016; 34:5649-5655. [PMID: 27720448 PMCID: PMC5714809 DOI: 10.1016/j.vaccine.2016.09.011] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Revised: 08/25/2016] [Accepted: 09/13/2016] [Indexed: 01/18/2023]
Abstract
BACKGROUND Influenza is a common cause of severe respiratory illness, but risk factors for hospitalisation in low income settings with a high HIV prevalence are not well described. We aimed to assess risk factors associated with influenza-associated severe acute respiratory illness (SARI) hospitalisation in South Africa. METHODS We conducted a case-population study using data on risk conditions in patients hospitalised with SARI and the national prevalence of these conditions. Data on hospitalised cases were from the national SARI surveillance program while data on the referent population were from the latest national census or health and demographic surveillance surveys. FINDINGS From 2009 to 2012, we identified 3646 (7.9%) of 46,031 enrolled cases of SARI that were associated with influenza infection. Risk factors associated with hospitalisation included previous history of smoking [case-population ratio (CPR) 3.82, 95% confidence interval (CI) 3.5-4.16], HIV infection (CPR 3.61, 95% CI 3.5-3.71), asthma (CPR 2.45, 95% CI 2.19-2.73), previous history of hospital admission in the past 12months (CPR 2.07, 95% CI 1.92-2.23), and tuberculosis (CPR 1.85, 95% CI 1.68-2.02). When stratified by age, there is increased risk of hospitalisation in those ⩽5yearsof age (CPR 3.07, 95% CI 2.93-3.21) and among those 35yearsof age and above (CPR 1.23, 95% CI 1.28-1.18). Male sex (CPR 0.85, 95% CI 0.82-0.88) and completion of pneumococcal conjugate vaccination schedule in children <5yearsof age (CPR 0.74, 95% CI 0.71-0.77) were associated with decreased risk of hospitalisation. CONCLUSION These results identify groups at high-risk for severe influenza who should be considered potential targets for influenza vaccination in South Africa and similar settings.
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Affiliation(s)
| | - Adrian D Smith
- Nuffield Department of Population Health, University of Oxford, Oxford, England.
| | - Stefano Tempia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Shabir A Madhi
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 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.
| | - Adam L Cohen
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA; U.S. Public Health Service, Rockville, MD, USA; Expanded Programme on Immunization, Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland(1).
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Kandeel A, Dawson P, Labib M, Said M, El-Refai S, El-Gohari A, Talaat M. Morbidity, Mortality, and Seasonality of Influenza Hospitalizations in Egypt, November 2007-November 2014. PLoS One 2016; 11:e0161301. [PMID: 27607330 PMCID: PMC5015910 DOI: 10.1371/journal.pone.0161301] [Citation(s) in RCA: 16] [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: 03/30/2016] [Accepted: 08/03/2016] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Influenza typically comprises a substantial portion of acute respiratory infections, a leading cause of mortality worldwide. However, influenza epidemiology data are lacking in Egypt. We describe seven years of Egypt's influenza hospitalizations from a multi-site influenza surveillance system. METHODS Syndromic case definitions identified individuals with severe acute respiratory infection (SARI) admitted to eight hospitals in Egypt. Standardized demographic and clinical data were collected. Nasopharyngeal and oropharyngeal swabs were tested for influenza using real-time reverse transcription polymerase chain reaction and typed as influenza A or B, and influenza A specimens subtyped. RESULTS From November 2007-November 2014, 2,936/17,441 (17%) SARI cases were influenza-positive. Influenza-positive patients were more likely to be older, female, pregnant, and have chronic condition(s) (all p<0.05). Among them, 53 (2%) died, and death was associated with older age, five or more days from symptom onset to hospitalization, chronic condition(s), and influenza A (all p<0.05). An annual seasonal influenza pattern occurred from July-June. Each season, the proportion of the season's influenza-positive cases peaked during November-May (19-41%). CONCLUSIONS In Egypt, influenza causes considerable morbidity and mortality and influenza SARI hospitalization patterns mirror those of the Northern Hemisphere. Additional assessment of influenza epidemiology in Egypt may better guide disease control activities and vaccine policy.
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Affiliation(s)
| | - Patrick Dawson
- U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt
| | | | - Mayar Said
- U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
| | | | | | - Maha Talaat
- U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt
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Zhong PP, Zhang HL, Chen XF, Liang YF, Lin L, Yang SY, Sheng JY, Li CC. [Lower respiratory tract infection caused by influenza virus A and influenza virus B in Wenzhou, China: a clinical analysis of 366 children]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2016; 18:117-122. [PMID: 26903057 PMCID: PMC7403037 DOI: 10.7499/j.issn.1008-8830.2016.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 12/09/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To compare the epidemiological and clinical features of lower respiratory tract infection (LRTI) caused by influenza virus A (IVA) and influenza virus B (IVB) in children. METHODS The clinical data of 366 children with LRTI caused by influenza virus (IV), who were hospitalized in Yuying Children′s Hospital of Wenzhou Medical University between 2010 and 2014, were analyzed retrospectively, and there were 272 cases caused by IVA and 94 cases caused by IVB. RESULTS IV was mainly prevalent from December to March of the next year, with the predominance of IVA. There were small peaks of IVA prevalence in July or September every other year, and IVB was prevalent from December to March of the next year every other year. The children with LRTI caused by IVA alone had a significantly higher white blood cell (WBC) count and significantly higher percentages of children with increased WBC, abnormal serum sodium, and abnormal serum potassium than those caused by IVB alone (P<0.05). However, there were no significant differences in age, sex, underlying diseases, clinical manifestations, and co-infection rate with bacteria or atypical pathogens between the two groups (P>0.05). The rate of co-infection with respiratory syncytial virus (RSV) was significantly higher in the IVB group than in the IVA group (P<0.01). CONCLUSIONS IVA is prevalent in winter and spring every year and has small peaks in summer every other year, while IVB is prevalent in winter and spring every other year. Compared with IVB, IVA causes more cases of increased WBC and electrolyte disturbance. The children infected with IVB are more likely to be co-infected with RSV. The children with LRTI caused by IVA and IVB have similar clinical manifestations.
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Affiliation(s)
- Pei-Pei Zhong
- Department of Respiratory Disease, Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
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27
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Zhong PP, Zhang HL, Chen XF, Liang YF, Lin L, Yang SY, Sheng JY, Li CC. [Lower respiratory tract infection caused by influenza virus A and influenza virus B in Wenzhou, China: a clinical analysis of 366 children]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2016; 18:117-22. [PMID: 26903057 PMCID: PMC7403037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 12/09/2015] [Indexed: 08/01/2024]
Abstract
OBJECTIVE To compare the epidemiological and clinical features of lower respiratory tract infection (LRTI) caused by influenza virus A (IVA) and influenza virus B (IVB) in children. METHODS The clinical data of 366 children with LRTI caused by influenza virus (IV), who were hospitalized in Yuying Children′s Hospital of Wenzhou Medical University between 2010 and 2014, were analyzed retrospectively, and there were 272 cases caused by IVA and 94 cases caused by IVB. RESULTS IV was mainly prevalent from December to March of the next year, with the predominance of IVA. There were small peaks of IVA prevalence in July or September every other year, and IVB was prevalent from December to March of the next year every other year. The children with LRTI caused by IVA alone had a significantly higher white blood cell (WBC) count and significantly higher percentages of children with increased WBC, abnormal serum sodium, and abnormal serum potassium than those caused by IVB alone (P<0.05). However, there were no significant differences in age, sex, underlying diseases, clinical manifestations, and co-infection rate with bacteria or atypical pathogens between the two groups (P>0.05). The rate of co-infection with respiratory syncytial virus (RSV) was significantly higher in the IVB group than in the IVA group (P<0.01). CONCLUSIONS IVA is prevalent in winter and spring every year and has small peaks in summer every other year, while IVB is prevalent in winter and spring every other year. Compared with IVB, IVA causes more cases of increased WBC and electrolyte disturbance. The children infected with IVB are more likely to be co-infected with RSV. The children with LRTI caused by IVA and IVB have similar clinical manifestations.
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Affiliation(s)
- Pei-Pei Zhong
- Department of Respiratory Disease, Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
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Al-Abdallat M, Dawson P, Haddadin AJ, El-Shoubary W, Dueger E, Al-Sanouri T, Said MM, Talaat M. Influenza hospitalization epidemiology from a severe acute respiratory infection surveillance system in Jordan, January 2008-February 2014. Influenza Other Respir Viruses 2016; 10:91-7. [PMID: 26505620 PMCID: PMC4746565 DOI: 10.1111/irv.12354] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2015] [Indexed: 01/12/2023] Open
Abstract
Background Acute respiratory infections (ARIs) are a major cause of morbidity and mortality worldwide. Influenza typically contributes substantially to the burden of ARI, but only limited data are available on influenza activity and seasonality in Jordan. Methods Syndromic case definitions were used to identify individuals with severe acute respiratory infections (SARI) admitted to four sentinel hospitals in Jordan. Demographic and clinical data were collected. Nasopharyngeal and oropharyngeal swabs were tested for influenza using real‐time reverse transcription polymerase chain reaction and typed as influenza A or B, with influenza A further subtyped. Results From January 2008–February 2014, 2891 SARI cases were tested for influenza, and 257 (9%) were positive. While 73% of all SARI cases were under 5 years of age, only 57% of influenza‐positive cases were under 5 years of age. Eight (3%) influenza‐positive cases died. An annual seasonal pattern of influenza activity was observed. The proportion of influenza‐positive cases peaked during November–January (14–42%) in the non‐pandemic years. Conclusions Influenza is associated with substantial morbidity and mortality in Jordan. The seasonal pattern of influenza aligns with known Northern Hemisphere seasonality. Further characterization of the clinical and financial burden of influenza in Jordan will be critical in supporting decisions regarding disease control activities.
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Affiliation(s)
| | - Patrick Dawson
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt.,U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
| | | | - Waleed El-Shoubary
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt.,U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
| | - Erica Dueger
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt.,U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
| | | | - Mayar M Said
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt.,U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
| | - Maha Talaat
- Global Disease Detection Center, U.S. Centers for Disease Control and Prevention, Cairo, Egypt.,U.S. Naval Medical Research Unit No. 3, Cairo, Egypt
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Al-Awaidy S, Hamid S, Al Obaidani I, Al Baqlani S, Al Busaidi S, Bawikar S, El-Shoubary W, Dueger EL, Said MM, Elamin E, Shah P, Talaat M. The Burden of Influenza-Associated Hospitalizations in Oman, January 2008-June 2013. PLoS One 2015; 10:e0144186. [PMID: 26642055 PMCID: PMC4671710 DOI: 10.1371/journal.pone.0144186] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 11/13/2015] [Indexed: 12/27/2022] Open
Abstract
Introduction Acute respiratory infections (ARI), including influenza, comprise a leading cause of morbidity and mortality worldwide. Influenza surveillance provides important information to inform policy on influenza control and vaccination. While the epidemiology of influenza has been well characterized in western countries, few data exist on influenza epidemiology in the Eastern Mediterranean Region. We describe the epidemiology of influenza virus in Oman. Methods Using syndromic case definitions and protocols, patients from four regional hospitals in Oman were enrolled in a descriptive prospective study to characterize the burden of severe acute respiratory infections (SARI) and influenza. Eligible patients provided demographic information as well as oropharyngeal (OP) and nasopharyngeal (NP) swabs. Specimens were tested for influenza A and influenza B; influenza A viruses were subtyped using RT-PCR. Results From January 2008 through June 2013, a total of 5,147 cases were enrolled and tested for influenza. Influenza strains were detected in 8% of cases for whom samples were available. Annual incidence rates ranged from 0.5 to 15.4 cases of influenza-associated SARI per 100,000 population. The median age of influenza patients was 6 years with children 0–2 years accounting for 34% of all influenza-associated hospitalizations. By contrast, the median age of non-influenza SARI cases was 1 year with children 0–2 years comprising 59% of SARI. Compared to non-influenza SARI cases, a greater proportion of influenza cases had pre-existing chronic conditions and underwent ventilation during hospitalization. Conclusions Influenza virus is associated with a substantial proportion of SARI in Oman. Influenza in Oman approximately follows northern hemisphere seasonality, with major peaks in October to December and a lesser peak around April. The burden of influenza was greatest in children and the elderly. Future efforts should examine the burden of influenza in other potential risk groups such as pregnant women to inform interventions including targeted vaccination.
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Affiliation(s)
| | - Sarah Hamid
- Global Disease Detection and Response Program, US Naval Medical Research Unit No.3, Cairo, Egypt
- Global Disease Detection Center, Centers for Disease Control and Prevention, Cairo, Egypt
- * E-mail:
| | | | | | | | | | - Waleed El-Shoubary
- Global Disease Detection and Response Program, US Naval Medical Research Unit No.3, Cairo, Egypt
- Global Disease Detection Center, Centers for Disease Control and Prevention, Cairo, Egypt
| | - Erica L. Dueger
- Global Disease Detection and Response Program, US Naval Medical Research Unit No.3, Cairo, Egypt
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | | | | | - Parag Shah
- Ministry of Health, Muscat, The Sultanate of Oman
| | - Maha Talaat
- Global Disease Detection and Response Program, US Naval Medical Research Unit No.3, Cairo, Egypt
- Global Disease Detection Center, Centers for Disease Control and Prevention, Cairo, Egypt
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30
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Otomaru H, Kamigaki T, Tamaki R, Opinion J, Santo A, Daya E, Okamoto M, Saito M, Tallo V, Lupisan S, Suzuki A, Oshitani H. Influenza and other respiratory viruses detected by influenza-like illness surveillance in Leyte Island, the Philippines, 2010-2013. PLoS One 2015; 10:e0123755. [PMID: 25893441 PMCID: PMC4404362 DOI: 10.1371/journal.pone.0123755] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 02/23/2015] [Indexed: 01/06/2023] Open
Abstract
This study aimed to determine the role of influenza-like illness (ILI) surveillance conducted on Leyte Island, the Philippines, including involvement of other respiratory viruses, from 2010 to 2013. ILI surveillance was conducted from January 2010 to March 2013 with 3 sentinel sites located in Tacloban city, Palo and Tanauan of Leyte Island. ILI was defined as fever ≥38°C or feverish feeling and either cough or running nose in a patient of any age. Influenza virus and other 5 respiratory viruses were searched. A total of 5,550 ILI cases visited the 3 sites and specimens were collected from 2,031 (36.6%) cases. Among the cases sampled, 1,637 (75.6%) were children aged <5 years. 874 (43.0%) cases were positive for at least one of the respiratory viruses tested. Influenza virus and respiratory syncytial virus (RSV) were predominantly detected (both were 25.7%) followed by human rhinovirus (HRV) (17.5%). The age distributions were significantly different between those who were positive for influenza, HRV, and RSV. ILI cases were reported throughout the year and influenza virus was co-detected with those viruses on approximately half of the weeks of study period (RSV in 60.5% and HRV 47.4%). In terms of clinical manifestations, only the rates of headache and sore throat were significantly higher in influenza positive cases than cases positive to other viruses. In conclusion, syndromic ILI surveillance in this area is difficult to detect the start of influenza epidemic without laboratory confirmation which requires huge resources. Age was an important factor that affected positive rates of influenza and other respiratory viruses. Involvement of older age children may be useful to detect influenza more effectively.
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Affiliation(s)
- Hirono Otomaru
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
| | - Taro Kamigaki
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
- * E-mail:
| | - Raita Tamaki
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
| | - Jamie Opinion
- Tacloban City Health Office, Tacloban City, the Philippines
| | - Arlene Santo
- Tanauan Rural Health Unit, Tanauan, the Philippines
| | - Edgard Daya
- Leyte Provincial Health Office, Palo, the Philippines
| | - Michiko Okamoto
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
| | - Mariko Saito
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
- Tohoku-RITM Research Center for Emerging and Reemerging Infections, Muntinlupa City, the Philippines
| | - Veronica Tallo
- Research Institute for Tropical Medicine, Muntinlupa City, the Philippines
| | - Soccoro Lupisan
- Research Institute for Tropical Medicine, Muntinlupa City, the Philippines
| | - Akira Suzuki
- Virus Research Center, Clinical Research Division, Sendai Medical Center, Sendai, Japan
| | - Hitoshi Oshitani
- Department of Virology, Tohoku University School of Medicine, Sendai, Japan
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31
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Odagiri T, Matsuzaki Y, Okamoto M, Suzuki A, Saito M, Tamaki R, Lupisan SP, Sombrero LT, Hongo S, Oshitani H. Isolation and characterization of influenza C viruses in the Philippines and Japan. J Clin Microbiol 2015; 53:847-58. [PMID: 25552361 PMCID: PMC4390655 DOI: 10.1128/jcm.02628-14] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 12/06/2014] [Indexed: 11/20/2022] Open
Abstract
From November 2009 to December 2013 in the Philippines, 15 influenza C viruses were isolated, using MDCK cells, from specimens obtained from children with severe pneumonia and influenza-like illness (ILI). This is the first report of influenza C virus isolation in the Philippines. In addition, from January 2008 to December 2013, 7 influenza C viruses were isolated from specimens that were obtained from children with acute respiratory illness (ARI) in Sendai city, Japan. Antigenic analysis with monoclonal antibodies to the hemagglutinin-esterase (HE) glycoprotein showed that 19 strains (12 from the Philippines and 7 from Japan) were similar to the influenza C virus reference strain C/Sao Paulo/378/82 (SP82). Phylogenetic analysis of the HE gene showed that the strains from the Philippines and Japan formed distinct clusters within an SP82-related lineage. The clusters that included the Philippine and Japanese strains were shown to have diverged from a common ancestor around 1993. In addition, phylogenetic analysis of the internal genes showed that all strains isolated in the Philippines and Japan had emerged through reassortment events. The composition of the internal genes of the Philippine strains was different from that of the Japanese strains, although all strains were classified into an SP82-related lineage by HE gene sequence analysis. These observations suggest that the influenza C viruses analyzed here had emerged through different reassortment events; however, the time and place at which the reassortment events occurred were not determined.
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Affiliation(s)
- Takashi Odagiri
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan
| | - Yoko Matsuzaki
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Iida-Nishi, Yamagata, Japan
| | - Michiko Okamoto
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan
| | - Akira Suzuki
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan
| | - Mariko Saito
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan RITM-Tohoku Research Collaborating Center for Emerging and Reemerging Diseases, Muntinlupa City, Philippines
| | - Raita Tamaki
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan RITM-Tohoku Research Collaborating Center for Emerging and Reemerging Diseases, Muntinlupa City, Philippines
| | - Socorro P Lupisan
- Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Lydia T Sombrero
- Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Seiji Hongo
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Iida-Nishi, Yamagata, Japan
| | - Hitoshi Oshitani
- Department of Virology, Tohoku University Graduate School of Medicine, Aoba-ku, Sendai, Miyagi, Japan
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Fischer WA, Gong M, Bhagwanjee S, Sevransky J. Global burden of influenza as a cause of cardiopulmonary morbidity and mortality. Glob Heart 2014; 9:325-36. [PMID: 25667184 DOI: 10.1016/j.gheart.2014.08.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 08/07/2014] [Accepted: 08/08/2014] [Indexed: 01/12/2023] Open
Abstract
Severe acute respiratory infections, including influenza, are a leading cause of cardiopulmonary morbidity and mortality worldwide. Until recently, the epidemiology of influenza was limited to resource-rich countries. Emerging epidemiological reports characterizing the 2009 H1N1 pandemic, however, suggest that influenza exerts an even greater toll in low-income, resource-constrained environments where it is the cause of 5% to 27% of all severe acute respiratory infections. The increased burden of disease in this setting is multifactorial and likely is the result of higher rates of comorbidities such as human immunodeficiency virus, decreased access to health care, including vaccinations and antiviral medications, and limited healthcare infrastructure, including oxygen therapy or critical care support. Improved global epidemiology of influenza is desperately needed to guide allocation of life-saving resources, including vaccines, antiviral medications, and direct the improvement of basic health care to mitigate the impact of influenza infection on the most vulnerable populations.
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Affiliation(s)
- William A Fischer
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA; The Center for Environmental Medicine, Asthma and Lung Biology, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.
| | | | - Satish Bhagwanjee
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Jonathan Sevransky
- Division of Pulmonary, Allergy and Critical Care Medicine, Emory University, Atlanta, GA, USA
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