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2 results on '"Office of Health Protection, Woden, ACT, Australia (DHAISS)"'

1. Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014

Author

François G. Schellevis, Raquel Guiomar, Zhibin Peng, Phuong Vu Mai Hoang, Brechla Moreno, Juan Yang, Cheryl Cohen, Lynnette Brammer, Jenny Lara, Hongjie Yu, Mai thi Quynh Le, Joshua A. Mott, Rodrigo Fasce, Gabriela Kusznierz, Simona Puzelli, Doménica de Mora, Leticia Castillo, Selim Badur, Akerke Ospanova, Vernon J. Lee, Liza Lopez, Richard Njouom, Douglas M. Fleming, Coulibaly Daouda, Nurhayati, Juan Manuel Rudi, Clotilde El-Guerche Séblain, Li Wei Ang, Joseph S. Bresee, Celina de Lozano, Sonam Gyeltshen, Maria Zambon, Maria Luisa Matute, Norosoa Harline Razanajatovo, Saverio Caini, Amal Barakat, Marie-Astrid Vernet, Alla Mironenko, Angel Balmaseda, Alexey Clara, Walquiria Aparecida Ferreira de Almeida, Richard Pebody, Herman Kosasih, Cláudio Maierovitch Pessanha Henriques, Marietjie Venter, Caterina Rizzo, Meral Akcay Ciblak, Olha Holubka, Gideon O. Emukule, Fatima el Falaki, Winston Andrade, Herve A. Kadjo, Alfredo Bruno, Kate Pennington, Lyazzat Kiyanbekova, Ana Paula Rodrigues, Rhonda Owen, John Paget, Peter Spreeuwenberg, Sue Q. Huang, Jean-Michel Heraud, Sonam Wangchuk, Luzhao Feng, Netherlands Institute for Health Services Research, Instituto Nacional de Enfermedades Respiratorias 'Dr. Emilio Coni', Department of Health and Ageing, Influenza Surveillance Section, Surveillance Branch, Office of Health Protection (DHAISS), Department of Health and Ageing, Influenza Surveillance Section, Surveillance Branch, Office of Health Protection, Woden, ACT, Australia, Office of Health Protection, Woden, ACT, Australia (DHAISS), Ministry of Health [Bhoutan], Ministry of Health [Brasília, Brazil], Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur (RIIP), Instituto de Salud Pública de Chile (ISP), Chinese Centre for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Ministry of Health [Costa Rica], Instituto Nacional de Investigación en Salud Pública [Guayaquil, Ecuador] (INSPI), Ministerio de Salud de El Salvador (MINSAL), Public Health England [London], Ministerio de Salud Publica y Asistencia Social [Guatemala] (MSPAS), US Centers for Disease Control, Ministry of Health [Honduras] (SESAL), US Naval Medical Research Unit n°2, Istituto Superiore di Sanita [Rome], Institut Pasteur de Côte d'Ivoire, Institut National d'Hygiène Publique [Côte d'Ivoire] (INHP), Astana Center of Sanitary Epidemiology Expertise, Centers for Disease Control and Prevention [Kenya], U.S. Public Health Service (USPHS), Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Ministry of Health [Morocco], Institute of Environmental Science and Research (ESR), Ministry of Health [Nicaragua] (MINSA), National Influenza Center, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), Ministry of Health [Singapore], Centers for Disease Control and Prevention, University of Pretoria [South Africa], University of the Witwatersrand [Johannesburg] (WITS), National Institute for Communicable Diseases [Johannesburg] (NICD), Istanbul University, National Academy of Medical Sciences of Ukraine, Centers for Disease Control and Prevention [Atlanta] (CDC), National Institute of Hygiene and Epidemiology [Hanoi, Vietnam] (NIHE), Chercheur indépendant, Sanofi Pasteur [Lyon, France], VU University Medical Center [Amsterdam], The Global Influenza B Study is funded by an unrestricted research grant from Sanofi Pasteur., The Global Influenza B Study group also includes the following members: Binay Thapa 4, Sangay Zangmo 4, Guy Vernet 6, Patricia Bustos 7, Patricio Loyola 7, Joanna Ellis 12, Antonino Bella 19, Maria Rita Castrucci 18, Gulzhan Muratbayeva 45, Julia Guillebaud 26, Laurence Randrianasolo 46, Ausenda Machado 47, Pedro Pechirra 32, Jeffery Cutter 34, Raymond Tzer Pin Lin 34. 45 Centers for Disease Control and Prevention, Central Asia Regional Office, Almaty, Kazakhstan 46 Epidemiology Unit, Institut Pasteur of Madagascar, Antananarivo, Madagascar 47 National Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal, APH - Quality of Care, APH - Aging & Later Life, and General practice

Subjects
0301 basic medicine, Male, Databases, Factual, Distribution (economics), CHILDREN, Global Health, 0302 clinical medicine, Influenza A Virus, H1N1 Subtype, 1108 Medical Microbiology, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Influenza A Virus, H3N2 subtype, 030212 general & internal medicine, Young adult, Child, POPULATION, education.field_of_study, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Age Factors, Middle Aged, 3. Good health, Global Influenza B Study group, Infectious Diseases, INFECTIONS, Influenza A virus, Child, Preschool, H3N2 Subtype, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Female, BURDEN, Life Sciences & Biomedicine, Age distribution, 0605 Microbiology, Adult, medicine.medical_specialty, Surveillance data, Adolescent, Population, UNITED-STATES, Microbiology, Virus, lcsh:Infectious and parasitic diseases, 03 medical and health sciences, Young Adult, Age Distribution, Influenza, Human, medicine, Humans, H1N1 Subtype, COHORT, lcsh:RC109-216, education, Disease burden, METAANALYSIS, Aged, Science & Technology, business.industry, Public health, Influenza A Virus, H3N2 Subtype, Infant, Newborn, Infant, 1103 Clinical Sciences, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Estados de Saúde e de Doença, Influenza B Virus, Influenza, Influenza B virus, Meta-analysis, 030104 developmental biology, H1N1 subtype, Virus type, RISK-FACTORS, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Demography
Abstract

The database of the Global Influenza B Study was created by collecting surveillance datasets from each of the participating countries. These national datasets are owned by the participating countries, and thus cannot be shared publicly. Researchers interested in obtaining the country-specific datasets may contact the individuals listed below for further details regarding data access.Argentina (Santa Fe Province): Gabriela Kusznierz (labconi@yahoo.com.ar)Australia: Kate Pennington (kate.pennington@health.gov.au)Bhutan: Sonam Wangchuk (swangchuk@health.gov.bt)Brazil: Cláudio Maierovitch Pessanha Henriques (claudio.henriques@saude.gov.br)Cameroon: Guy Vernet (vernet@pasteur-yaounde.org)Chile: Rodrigo Fasce (rfasce@ispch.cl)China: Feng Luzhao (fenglz@chinacdc.cn)Costa Rica: Alexey W. Clara (wclara@cdc.gov)Ecuador: Alfredo Bruno (alfredobruno@yahoo.es)El Salvador: Alexey W. Clara (wclara@cdc.gov)England: Maria Zambon (maria.zambon@phe.gov.uk)Guatemala: Alexey W. Clara (wclara@cdc.gov)Honduras: Alexey W. Clara (wclara@cdc.gov)Indonesia: Herman Kosasih (hermaninarespond@gmail.com)Italy: Caterina Rizzo (caterina.rizzo@iss.it)Ivory Coast: Herve A. Kadjo (hervekadjo@pasteur.ci)Kazakhstan: Gulzhan Muratbayeva (hnv2@cdc.gov)Kenya: Joshua Mott (zud9@cdc.gov)Madagascar: Jean-Michel Heraud (jmheraud@pasteur.mg)Morocco: Amal Barakat (amal.barakat@yahoo.fr)New Zealand: Sue Huang (sue.huang@esr.cri.nz)Nicaragua: Alexey W. Clara (wclara@cdc.gov)Panama: Alexey W. Clara (wclara@cdc.gov)Portugal: Ana Paula Rodrigues (ana.rodrigues@insa.min-saude.pt)Singapore: Vernon Lee (vernonljm@hotmail.com)South Africa: Cheryl Cohen (cherylc@nicd.ac.za)Turkey: Meral Akcay Ciblak (ciblakm@yahoo.com)Ukraine: Alla Mironenko (miralla@ukr.net)Viet Nam: Le Thi Quinh Mai (lom9@hotmail.com); International audience; BACKGROUND:Influenza disease burden varies by age and this has important public health implications. We compared the proportional distribution of different influenza virus types within age strata using surveillance data from twenty-nine countries during 1999-2014 (N=358,796 influenza cases).METHODS:For each virus, we calculated a Relative Illness Ratio (defined as the ratio of the percentage of cases in an age group to the percentage of the country population in the same age group) for young children (0-4 years), older children (5-17 years), young adults (18-39 years), older adults (40-64 years), and the elderly (65+ years). We used random-effects meta-analysis models to obtain summary relative illness ratios (sRIRs), and conducted meta-regression and sub-group analyses to explore causes of between-estimates heterogeneity.RESULTS:The influenza virus with highest sRIR was A(H1N1) for young children, B for older children, A(H1N1)pdm2009 for adults, and (A(H3N2) for the elderly. As expected, considering the diverse nature of the national surveillance datasets included in our analysis, between-estimates heterogeneity was high (I2>90%) for most sRIRs. The variations of countries' geographic, demographic and economic characteristics and the proportion of outpatients among reported influenza cases explained only part of the heterogeneity, suggesting that multiple factors were at play.CONCLUSIONS:These results highlight the importance of presenting burden of disease estimates by age group and virus (sub)type.

Published
2018

2. Temporal Patterns of Influenza A and B in Tropical and Temperate Countries: What Are the Lessons for Influenza Vaccination?

Author

Marietjie Venter, Juan Yang, Simona Puzelli, Antonino Bella, Joshua A. Mott, Rodrigo Fasce, Coulibaly Daouda, Jenny Lara, Hongjie Yu, Winston Andrade, Selim Badur, Cláudio Maierovitch Pessanha Henriques, François G. Schellevis, Jean-Michel Heraud, Akerke Ospanova, Sonam Wangchuk, Brechla Moreno, Herve A. Kadjo, Raymond T. P. Lin, Juan Manuel Rudi, Walquiria Aparecida Ferreira de Almeida, Gabriela Kusznierz, Joseph S. Bresee, Cheryl Cohen, Mai thi Quynh Le, Rhonda Owen, Maria Zambon, Maria Luisa Matute, Kunzang Dorji, Kate Pennington, Global Influenza B Study, Herman Kosasih, Nurhayati, Alla Mironenko, Ming Li, Angel Balmaseda, Alexey Clara, Alfredo Bruno, Richard Njouom, Phuong Vu Mai Hoang, Ana Paula Rodrigues, Celina de Lozano, Luzhao Feng, Olha Holubka, Amal Barakat, Lyazzat Kiyanbekova, Norosoa Harline Razanajatovo, Saverio Caini, Meral Akcay Ciblak, Raquel Guiomar, Richard Pebody, Leticia Castillo, Gideon O. Emukule, Liza Lopez, Doménica de Mora, Jeffery Cutter, Q. Sue Huang, Marie-Astrid Vernet, Abderrahman Bimohuen, John Paget, Lynnette Brammer, General practice, EMGO - Quality of care, Netherlands Institute for Health Services Research, Instituto de Salud Pública de Chile (ISP), Istanbul University, Ministry of Health [Nicaragua] (MINSA), Ministry of Health [Morocco], Istituto Superiore di Sanita [Rome], Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, Instituto Nacional de Investigación en Salud Pública [Guayaquil, Ecuador] (INSPI), Ministerio de Salud Publica y Asistencia Social [Guatemala] (MSPAS), US Centers for Disease Control, University of the Witwatersrand [Johannesburg] (WITS), Ministry of Health, Institut Pasteur de Côte d'Ivoire, Réseau International des Instituts Pasteur (RIIP), Ministerio de Salud de El Salvador (MINSAL), Ministry of Health [Bhoutan], US Centers for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Instituto nacional de saude, Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), National Academy of Medical Sciences of Ukraine, Institute of Environmental Science and Research (ESR), Astana Center of Sanitary Epidemiology Expertise, US Naval Medical Research Unit n°2, Instituto Nacional de Enfermedades Respiratorias 'Dr. Emilio Coni', Ministry of Health [Costa Rica], National Institute of Hygiene and Epidemiology [Hanoi, Vietnam] (NIHE), Ministry of Health [Honduras] (SESAL), National Influenza Center, Centre Pasteur du Cameroun, Office of Health Protection, Woden, ACT, Australia (DHAISS), Public Health England [London], National Institute of Health, University of Pretoria [South Africa], The Global Influenza B Study is supported by an unrestricted research grant from Sanofi Pasteur. The study sponsor had no role in the design of the study, in the collection, analysis, and interpretation of data, in the writing of the report, and and in the decision to submit the paper for publication. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. The study sponsor had no access to the data in the study.

Subjects
Infecções Respiratórias, Influenza Viruses, Epidemiology, Gripe, Pathology and Laboratory Medicine, Geographical locations, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, DRIVERS, Estados de Saúde, Public and Occupational Health, SUB-SAHARAN AFRICA, lcsh:Science, MESH: Influenza B virus, Northern Hemisphere, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Geography, MESH: Influenza, Human, Vaccination, virus diseases, 3. Good health, Global Influenza B Study, MESH: Tropical Climate, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Science & Technology - Other Topics, Immunology, Disease Surveillance, SEASONAL INFLUENZA, Microbiology, Influenza Vaccin, 03 medical and health sciences, Influenza Vaccination, SURVEILLANCE, Humans, Microbial Pathogens, Retrospective Studies, MESH: Humans, Science & Technology, lcsh:R, Organisms, Correction, Influenza a, MESH: Retrospective Studies, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, medicine.disease, Virology, Influenza, MADAGASCAR, lcsh:Q, Preventive Medicine, People and places, Demography, RNA viruses, Viral Diseases, lcsh:Medicine, medicine.disease_cause, Tropical climate, Medicine and Health Sciences, Influenza A virus, 030212 general & internal medicine, Multidisciplinary, Medical microbiology, Vaccination and Immunization, Multidisciplinary Sciences, Infectious Diseases, Viruses, Human mortality from H5N1, Southern Hemisphere, Seasons, Pathogens, Brazil, Research Article, Infectious Disease Control, General Science & Technology, 030231 tropical medicine, MESH: Influenza A virus, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], MD Multidisciplinary, Influenza, Human, Temperate climate, medicine, Tropical Climate, Biology and life sciences, business.industry, Other Research Radboud Institute for Health Sciences [Radboudumc 0], Viral pathogens, Tropics, MESH: Vaccination, South America, Seasonality, Earth sciences, Influenza B virus, Infectious Disease Surveillance, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Geographic areas, MESH: Seasons, Orthomyxoviruses
Abstract

Erratum in - Correction: Temporal Patterns of Influenza A and B in Tropical and Temperate Countries: What Are the Lessons for Influenza Vaccination? PLoS One. 2016 May 2;11(5):e0155089. doi: 10.1371/journal.pone.0155089. Introduction: Determining the optimal time to vaccinate is important for influenza vaccination programmes. Here, we assessed the temporal characteristics of influenza epidemics in the Northern and Southern hemispheres and in the tropics, and discuss their implications for vaccination programmes. Methods: This was a retrospective analysis of surveillance data between 2000 and 2014 from the Global Influenza B Study database. The seasonal peak of influenza was defined as the week with the most reported cases (overall, A, and B) in the season. The duration of seasonal activity was assessed using the maximum proportion of influenza cases during three consecutive months and the minimum number of months with 80% of cases in the season. We also assessed whether co-circulation of A and B virus types affected the duration of influenza epidemics. Results: 212 influenza seasons and 571,907 cases were included from 30 countries. In tropical countries, the seasonal influenza activity lasted longer and the peaks of influenza A and B coincided less frequently than in temperate countries. Temporal characteristics of influenza epidemics were heterogeneous in the tropics, with distinct seasonal epidemics observed only in some countries. Seasons with co-circulation of influenza A and B were longer than influenza A seasons, especially in the tropics. Discussion: Our findings show that influenza seasonality is less well defined in the tropics than in temperate regions. This has important implications for vaccination programmes in these countries. High-quality influenza surveillance systems are needed in the tropics to enable decisions about when to vaccinate. The Global Influenza B Study is supported by an unrestricted research grant from Sanofi Pasteur. info:eu-repo/semantics/publishedVersion

Published
2016

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