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1. Risk factors for bronchiolitis hospitalization in infants: A French nationwide retrospective cohort study over four consecutive seasons (2009-2013)

Author

Jean-Christophe Rozé, Jean-Michel Hascoet, Jean-François Magny, Pierre-Henri Jarreau, Brigitte Fauroux, Elie Saliba, Michaël Schwarzinger, Sommeil-Vigilance-Fatigue et Santé Publique (VIFASOM (URP_7330)), Institut de Recherche Biomédicale des Armées (IRBA)-Université Paris Cité (UPCité), Unité Pédiatrique de Ventilation Non Invasive et de Sommeil [CHU Necker Enfants-Malades], CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Maternité Régionale Adolphe Pinard [Nancy], Développement, Adaptation et Handicap. Régulations cardio-respiratoires et de la motricité (DevAH), Université de Lorraine (UL), Université Paris Cité (UPCité), Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre hospitalier universitaire de Nantes (CHU Nantes), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Translational Health Economics Network [Paris] (THEN), Sorbonne Université (SU), The present study was supported by AbbVie France. Translational Health Economics (THEN) was responsible for data collection, preparation, and validation with external sources of information. THEN received payment from AbbVie for these activities. Writing charges were funded by AbbVie France, and AbbVie approved the decision to submit the paper for publication, but the corresponding author was ultimately responsible for submitting the manuscript for publication., HASCOET, JEAN-MICHEL, Service d'assistance respiratoire et sommeil de l'enfant [CHU Necker], Sommeil-Vigilance-Fatigue et Santé Publique (VIFASOM - EA 7330), Institut de Recherche Biomédicale des Armées (IRBA)-Université de Paris (UP), Regional Maternity [Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Lorraine (UL), Université de Paris (UP), Department of Neonatal Medicine of Port-Royal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Cochin [AP-HP], Neonatal Intensive Care Unit of Port-Royal [Paris], Department of Neonatology [Paris], Department of Neonatology [Nantes], Department of Neonatology [Tours], Hôpital Gatien de Clocheville [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université Paris Diderot - Paris 7 (UPD7), Université Sorbonne Paris Cité (USPC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, and Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS)

Subjects
Male, Pediatrics, Pulmonology, Epidemiology, Physiology, Cell Transplantation, Comorbidity, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Families, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Medicine and Health Sciences, Morphogenesis, Blood and Lymphatic System Procedures, Birth Weight, 030212 general & internal medicine, Children, education.field_of_study, Multidisciplinary, Congenital Heart Defects, Hospitals, 3. Good health, Hospitalization, Physiological Parameters, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Bronchiolitis, Medicine, Female, France, Seasons, Infants, Research Article, medicine.medical_specialty, Down syndrome, Science, Population, Cardiology, Surgical and Invasive Medical Procedures, 03 medical and health sciences, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, 030225 pediatrics, Internal medicine, Congenital Disorders, medicine, Humans, Birth Defects, education, Transplantation, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, Omphalocele, business.industry, Body Weight, Infant, Biology and Life Sciences, Retrospective cohort study, medicine.disease, Health Care, Bronchopulmonary dysplasia, Age Groups, Health Care Facilities, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Medical Risk Factors, People and Places, Respiratory Infections, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Population Groupings, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Developmental Biology, Stem Cell Transplantation
Abstract

International audience; Objectives: Large studies are needed to update risk factors of bronchiolitis hospitalization. We performed a nationwide analysis of hospitalization rates for bronchiolitis over four consecutive bronchiolitis seasons to identify underlying medical disorders at risk of bronchiolitis hospitalization and assess their frequency.Methods: Data were retrieved from the French National Hospital Discharge database. Of all infants discharged alive from maternity wards from January 2008 to December 2013 in France (N = 3,884,791), we identified four consecutive cohorts at risk of bronchiolitis during the seasons of 2009–2010 to 2012–2013. The main outcome was bronchiolitis hospitalization during a season. Individual risk factors were collected.Results: Among infants, 6.0% were preterm and 2.0% had ≥1 chronic condition including 0.2% bronchopulmonary dysplasia (BPD) and 0.2% hemodynamically significant congenital heart disease (HS-CHD). Bronchiolitis hospitalization rates varied between seasons (min: 1.26% in 2010–2011; max: 1.48% in 2012–2013; p

Published
2020

2. Quantifying model evidence for yellow fever transmission routes in Africa

Author

Katy A. M. Gaythorpe, Laurence Cibrelus, Tini Garske, Kévin Jean, Imperial College London, Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire National des Arts et Métiers [CNAM] (CNAM), Pasteur-Cnam Risques infectieux et émergents (PACRI), Institut Pasteur [Paris]-Conservatoire National des Arts et Métiers [CNAM] (CNAM), World Health Organisation (WHO), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Funding:This work was carried out as part of the Vaccine Impact Modelling Consortium (www.vaccineimpact.org),but the views expressed are those of the authors and not necessarily those of the Consortium or its funders.The funders were given the opportunity to review this paper prior to publication,but the final decision on the content of the publication was taken by the authors.We acknowledge joint Centre funding from the UK Medical Research Council and Department for International Development. The research leading to these results has received funding from the Bill & Melinda Gates foundation (OPP1117543,OPP1157270 http://www.gatesfoundation.org/)and from the Medical Research Council (MR/R015600/1https://mrc.ukri.org/)., HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), and Institut Pasteur [Paris] (IP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)

Subjects
0301 basic medicine, Viral Diseases, Epidemiology, Force of infection, Statics, Pathology and Laboratory Medicine, law.invention, Geographical Locations, Bayes' theorem, 0302 clinical medicine, law, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Aedes, Statistics, Medicine and Health Sciences, Public and Occupational Health, Biology (General), Ecology, Physics, Yellow fever, Linear model, Classical Mechanics, Vaccination and Immunization, Geography, Transmission (mechanics), Infectious Diseases, Serology, Computational Theory and Mathematics, INFECTIONS, Modeling and Simulation, Physical Sciences, Yellow fever virus, Life Sciences & Biomedicine, Research Article, Generalized linear model, Biochemistry & Molecular Biology, Bioinformatics, QH301-705.5, Immunology, Bayesian inference, Models, Biological, Biochemical Research Methods, BAYESIAN MODEL, Infectious Disease Epidemiology, 03 medical and health sciences, Cellular and Molecular Neuroscience, Yellow Fever, Genetics, medicine, Animals, Humans, Molecular Biology, 01 Mathematical Sciences, Ecology, Evolution, Behavior and Systematics, Estimation, Science & Technology, Models, Statistical, Biology and Life Sciences, Computational Biology, Bayes Theorem, 06 Biological Sciences, medicine.disease, 030104 developmental biology, People and Places, Africa, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Mathematical & Computational Biology, 08 Information and Computing Sciences, Preventive Medicine, 030217 neurology & neurosurgery
Abstract

Yellow fever is a vector-borne disease endemic in tropical regions of Africa, where 90% of the global burden occurs, and Latin America. It is notoriously under-reported with uncertainty arising from a complex transmission cycle including a sylvatic reservoir and non-specific symptom set. Resulting estimates of burden, particularly in Africa, are highly uncertain. We examine two established models of yellow fever transmission within a Bayesian model averaging framework in order to assess the relative evidence for each model’s assumptions and to highlight possible data gaps. Our models assume contrasting scenarios of the yellow fever transmission cycle in Africa. The first takes the force of infection in each province to be static across the observation period; this is synonymous with a constant infection pressure from the sylvatic reservoir. The second model assumes the majority of transmission results from the urban cycle; in this case, the force of infection is dynamic and defined through a fixed value of R0 in each province. Both models are coupled to a generalised linear model of yellow fever occurrence which uses environmental covariates to allow us to estimate transmission intensity in areas where data is sparse. We compare these contrasting descriptions of transmission through a Bayesian framework and trans-dimensional Markov chain Monte Carlo sampling in order to assess each model’s evidence given the range of uncertainty in parameter values. The resulting estimates allow us to produce Bayesian model averaged predictions of yellow fever burden across the African endemic region. We find strong support for the static force of infection model which suggests a higher proportion of yellow fever transmission occurs as a result of infection from an external source such as the sylvatic reservoir. However, the model comparison highlights key data gaps in serological surveys across the African endemic region. As such, conclusions concerning the most prevalent transmission routes for yellow fever will be limited by the sparsity of data which is particularly evident in the areas with highest predicted transmission intensity. Our model and estimation approach provides a robust framework for model comparison and predicting yellow fever burden in Africa. However, key data gaps increase uncertainty surrounding estimates of model parameters and evidence. As more mathematical models are developed to address new research questions, it is increasingly important to compare them with established modelling approaches to highlight uncertainty in structures and data., Author summary Yellow fever (YF) is notoriously under reported due to non-specific symptom spectrum and the true burden is highly uncertain as a result of a complex transmission cycle. As such, estimates surrounding YF burden are highly uncertain and the mechanisms behind transmission are often unclear. We assess these mechanisms and the resulting uncertainty by estimating two existing models of YF transmission within a product space framework. This allows us to produce updated estimates of transmission intensity and to compare the relative support for each model given the data. We find strong support for a model assuming a static force of infection, approximating the constant infection pressure from the sylvatic reservoir of YF. We also highlight areas where data is sparse, often the same areas estimated to have especially high transmission intensity. This is the first robust multi-model approach to applied YF modelling and provides a framework that could be extended to other disease models.

Published
2019

3. Structured peer-led diabetes self-management and support in a low-income country: The ST2EP randomised controlled trial in Mali

Author

Assa Traoré Sidibé, Stéphane Besançon, Cyril Ferdynus, Xavier Debussche, Hélène Delisle, Laetitia Huiart, Maryvette Balcou-Debussche, CHU Sud Saint Pierre [Ile de la Réunion], Centre d'Investigation Clinique de La Réunion - INSERM (CIC 1410), Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de La Réunion (CHU La Réunion), ONG Santé Diabète, Institut Coopératif Austral de Recherche en Éducation (ICARE), Université de La Réunion (UR), Réseau des universités pour l'éducation à la santé (Réseau UNIRéS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP), CRSN/Faculté de médecine Université de Montréal, Centre Hospitalier Universitaire de La Réunion (CHU La Réunion), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hopital Universitaire, This work was supported by the Bridges programme of the International Diabetes Federation. BRIDGES (Bringing Research in Diabetes to Global Environments and Systems) is a programme initiated by the International Diabetes Federation, and supported by an educational grant from Lilly Diabetes, https://www.idf.org/our-activities/epidemiology-research/bridges.html. The NGO Santé Diabète received the funding (https://santediabete.org/en, Director: SB). The funders were not involved in the study design, in the collection, analysis and interpretation of the data, as well as in the writing of the report and in the decision to submit the paper or preparation of the manuscript for publication. The authors were independent from study funders., and Univ, Réunion

Subjects
Male, Psychological intervention, lcsh:Medicine, Social Sciences, Type 2 diabetes, Human learning, Mali, Biochemistry, Vascular Medicine, law.invention, Geographical Locations, 0302 clinical medicine, Endocrinology, Learning and Memory, Diabetes mellitus, Randomized controlled trial, law, Health care, Outcome Assessment, Health Care, Medicine and Health Sciences, Diabetes diagnosis and management, Psychology, 030212 general & internal medicine, lcsh:Science, 2. Zero hunger, Multidisciplinary, Middle Aged, 3. Good health, Health education and awareness, Blood pressure, Female, Research Article, Adult, medicine.medical_specialty, Waist, HbA1c, Patients, Endocrine Disorders, 030209 endocrinology & metabolism, Peer Group, 03 medical and health sciences, Patient Education as Topic, medicine, Learning, Humans, Hemoglobin, Developing Countries, Glycated Hemoglobin, Biology and life sciences, business.industry, Self-Management, lcsh:R, Cognitive Psychology, Proteins, Peer group, medicine.disease, Diagnostic medicine, Health Care, Self Care, Diabetes Mellitus, Type 2, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Metabolic Disorders, People and Places, Africa, Physical therapy, Cognitive Science, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Patient education, Neuroscience
Abstract

Objectives Our objective was to evaluate the effectiveness of peer-led self-management education in improving glycaemic control in patients with type 2 diabetes in a low-income country (Mali). Methods We conducted an open-label randomised controlled trial. A total of 151 adults (76% women, mean age 52.5) with type 2 diabetes (HbA1c≥8%), treated in the diabetes consultation units of two secondary health centres in Bamako, were allocated to peer-led structured patient education (n = 76) or conventional care alone (n = 75). The intervention group received 1 year of culturally tailored structured patient education (3 courses of 4 sessions) delivered in the community by five trained peer educators. Both groups underwent conventional diabetes monitoring and follow-up. Primary outcome was the mean absolute change in HbA1c from baseline to 12 months. Results 177 education sessions were delivered to the intervention group. Patient attrition was 8%. From baseline to 12 months, the decrease in HbA1c levels was 1.05% (SD = 2.0; CI95%: 1.54;-0.56) in the intervention group compared with 0.15% (SD = 1.7; CI95%: -0.56; 0.26) in the control group, p = 0.006. Mean BMI change was -1.65 kg/m2 (SD = 2.5; CI95%: -2.25; -1.06) in the intervention group and +0.05 kg/m2 (SD = 3.2; CI95%: -0.71; 0.81) in the control group, p = 0.0005. Mean waist circumference decreased by 3.34 cm (SD = 9.3; CI95%: -5.56;-1.13) in the intervention group and increased by 2.65 cm (SD = 10.3; CI95%: 0.20; 5.09) in the control group, p = 0.0003. Conclusions Peer-led structured patient education delivered over 1 year to patients with poorly controlled type 2 diabetes in Mali yielded substantial improvements in glycaemic control and anthropometric parameters. This is of importance for the scaling up of efficient interventions in low-resource settings in the future. Trial registration ClinicalTrials.gov NCT01485913

Published
2018

4. Integrated Analysis of Environment, Cattle and Human Serological Data: Risks and Mechanisms of Transmission of Rift Valley Fever in Madagascar

Author

Annelise Tran, Vladimir Grosbois, Jean-Pierre Ravalohery, Fanjasoa Rakotomanana, Jean-Michel Heraud, Soa Fy Andriamandimby, Christophe Rogier, Seta Andriamamonjy, Véronique Chevalier, Benoit Durand, Marie-Marie Olive, Animal et gestion intégrée des risques (UPR AGIRs), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Réseau International des Instituts Pasteur (RIIP), This study was supported in part by funds raised by (i) CIRAD (ii) the Centre National d'Etudes Spatiales (CNES, grant # 131163/00) (iii) the Institut Pasteur de Madagascar. Human field work was funded by the Institut Pasteur of Madagascar (Internal Project through the ZORA (ZOonoses, Rodent and Arboviruses) project and the Centers for Disease Control and Prevention (CDC, and Cooperative Agreement #U51/IP000327). Moreover, this material is based upon work supported by the U. S. Department of Homeland Security under the Center of Excellence of Emerging and Zoonotic Animal Diseases Grant Award Number 2010-ST061-AG0001. Cattle study was supported in part by funds raised by World Health Organization (WHO) and the Food and Agriculture Organization of the United Nations (FAO) through the Central Emergency Response Fund of the United Nations. The views and conclusions contained in this paper are those of the authors and should not be interpreted as necessarily representing the official policies, either explicit or implicit, of the U. S. Department of Homeland Security. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Subjects
Veterinary medicine, Epidemiology, Pathology and Laboratory Medicine, law.invention, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Analyse du risque, MESH: Cattle Diseases, MESH: Animals, Neglected tropical diseases, Mammals, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, MESH: Middle Aged, 000 - Autres thèmes, Fièvre de la Vallée du Rift, Anopheles, Ruminants, 3. Good health, Transmission (mechanics), MESH: Young Adult, Densité de population, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Enzootic, Infectious diseases, L72 - Organismes nuisibles des animaux, Genre humain, Bétail, Livestock, lcsh:RC955-962, MESH: Culex, Microbiology, MESH: Anopheles, 03 medical and health sciences, MESH: Cross-Sectional Studies, Madagascar, MESH: Humans, MESH: Seroepidemiologic Studies, Tropical diseases, Public Health, Environmental and Occupational Health, Organisms, lcsh:RA1-1270, MESH: Adult, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, 15. Life on land, medicine.disease, Invertebrates, Insect Vectors, 030104 developmental biology, Africa, Cattle, MESH: Female, MESH: Antibodies, Viral, 0301 basic medicine, RNA viruses, Cattle Diseases, Disease Vectors, L73 - Maladies des animaux, Mosquitoes, Serology, Geographical Locations, MESH: Madagascar, law, Zoonoses, Facteur de risque, Bunyaviruses, Medicine and Health Sciences, MESH: Rift Valley Fever, Comportement humain, Rift Valley fever, 2. Zero hunger, biology, lcsh:Public aspects of medicine, Agriculture, Facteur du milieu, Medical microbiology, Insects, MESH: Cattle, Vecteur de maladie, Vertebrates, Viruses, MESH: Rift Valley fever virus, Seasons, Pathogens, Research Article, lcsh:Arctic medicine. Tropical medicine, Zone humide, Arthropoda, Distribution géographique, Culex, 030231 tropical medicine, Viral diseases, MESH: Insect Vectors, Virus de la fièvre de la vallée du Rift, Sérologie, Bovines, medicine, Seroprevalence, Animals, MESH: Environment, Transmission des maladies, Biology and life sciences, Viral pathogens, Morbidité, biology.organism_classification, Rift Valley fever virus, MESH: Male, Microbial pathogens, Amniotes, People and Places, Earth Sciences, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract

Background Rift Valley fever (RVF) is a vector-borne disease affecting ruminants and humans. Madagascar was heavily affected by RVF in 2008–2009, with evidence of a large and heterogeneous spread of the disease. The identification of at-risk environments is essential to optimize the available resources by targeting RVF surveillance in Madagascar. Herein, the objectives of our study were: (i) to identify the environmental factors and areas favorable to RVF transmission to both cattle and human and (ii) to identify human behaviors favoring human infections in Malagasy contexts. Methodology/Principal Findings First, we characterized the environments of Malagasy communes using a Multiple Factor Analysis (MFA). Then, we analyzed cattle and human serological data collected at national level using Generalized Linear Mixed Models, with the individual serological status (cattle or human) as the response, and MFA factors, as well as other potential risk factors (cattle density, human behavior) as explanatory variables. Cattle and human seroprevalence rates were positively associated to humid environments (p, Author Summary Rift Valley fever virus (RVFV) is a pathogen that causes a vector-borne tropical disease. The disease affects ruminants and humans and severely impacts the health and economy of affected countries. Madagascar was heavily affected by Rift Valley fever (RVF) in 2008–2009, with evidence of a large and heterogeneous spread of the disease. Our study aims at identifying environmental and human-related risk factors for RVFV transmission. First, we characterized Malagasy environments according to their putative influence on RVFV mosquito density and population dynamics. Then we statistically analyzed cattle and human serological data collected at a national level with the individual serological status as response, and Malagasy environments previously characterized by climatic and landscape variables as well as other potential risk factors as explanatory variables. Our results identified humid environments of the western, north-western and eastern parts of the island as risky areas. The identification of at-risk environments is essential to focus veterinary surveillance and control of RVFV.

Published
2016

5. 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

6. A systematic review of determinants of sedentary behaviour in youth: a DEDIPAC-study

Author

Stierlin, Annabel, de Lepeleere, Sara, Cardon, Greet, Dargent-Molina, Patricia, Hoffmann, Belinda, Murphy, Marie, Kennedy, Aileen, O’donoghue, Grainne, Chastin, Sebastien, de Craemer, Marieke, Institute of Epidemiology and Medical Biometry, Universität Ulm - Ulm University [Ulm, Allemagne], Section Health Economics and Health Services Research, Department of Psychiatry II, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik-Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Department of Movement and Sports Sciences, Ghent University [Belgium] (UGENT), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Division of Sports and Rehabilitation Medicine, Sport and Exercise Sciences Research Institute, University of Ulster, Centre for Preventive Medicine, School of Health and Human Performance, Dublin City University [Dublin] (DCU), Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University-Glasgow Caledonian University, The preparation of this paper was supported by the DEterminants of DIetand Physical ACtivity (DEDIPAC) knowledge hub. This work is supported bythe Joint Programming Initiative‘Healthy Diet for a Healthy Life’. The funding agencies supporting this work are (on alphabetical order of participating Member State): Belgium: Research Foundation–Flanders, France: InstitutNational de la Recherche Agronomique (INRA), Germany: Federal Ministry of Education and Research (BMBF), Ireland: The Health Research Board (HRB), The United Kingdom: The Medical Research Council (MRC).Sara De Lepeleere is a recipient of a PhD-scholarship from the Flemish Agency for Care and Health (B/12732/01) and is supported by the Research Foundation Flanders (FWO) (FWO14/ASP/066). Marieke De Craemer is supported by the Research Foundation Flanders (FWO) (FWO.OPR.2013.0366.01), Ulm University, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik - Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Ulm, Glasgow Caledonian University - Glasgow Caledonian University, Universiteit Gent = Ghent University [Belgium] (UGENT), Universiteit Gent = Ghent University (UGENT), and BMC, BMC

Subjects
TELEVISION, Nutrition and Dietetics, Youth, [SDV]Life Sciences [q-bio], Determinant, IOWA BONE-DEVELOPMENT, YOUNG-PEOPLE, ADOLESCENT GIRLS, Medicine (miscellaneous), PHYSICAL-ACTIVITY LEVELS, CHILDREN, Sedentary behaviour, Adolescents, HEALTH INDICATORS, Screen time, [SDV] Life Sciences [q-bio], OBESITY, Medicine and Health Sciences, PRIMARY-SCHOOL, Children, Sitting, SCREEN-TIME
Abstract

International audience; AbstractSedentary behaviour (SB) has emerged as a potential risk factor for metabolic health in youth. Knowledge on the determinants of SB in youth is necessary to inform future intervention development to reduce SB. A systematic review was conducted to identify predictors and determinants of SB in youth. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched, limiting to articles in English, published between January 2000 and May 2014. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour, (b) determinants, (c) types of sedentary behaviours, (d) types of determinants. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823). Cross-sectional studies were excluded. The analysis was guided by the socio-ecological model. 37 studies were selected out of 2654 identified papers from the systematic literature search. Most studies were conducted in Europe (n = 13), USA (n = 11), and Australia (n = 10). The study quality, using the Qualsyst tool, was high with a median of 82 % (IQR: 74–91 %). Multiple potential determinants were studied in only one or two studies. Determinants were found at the individual, interpersonal, environmental and policy level but few studies examined a comprehensive set of factors at different levels of influences. Evidence was found for age being positively associated with total SB, and weight status and baseline assessment of screen time being positively associated with screen time (at follow-up). A higher playground density and a higher availability of play and sports equipment at school were consistently related to an increased total SB, although these consistent findings come from single studies. Evidence was also reported for the presence of safe places to cross roads and lengthening morning and lunch breaks being associated with less total SB. Future interventions to decrease SB levels should especially target children with overweight or obesity and should start at a young age. However, since the relationship of many determinants with SB remains inconsistent, there is still a need for more longitudinal research on determinants of SB in youth.

Published
2015