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1. Interview with Marcus Rediker

Author

Bill O’Driscoll is Arts & Entertainment Editor of Pittsburgh City Paper, a weekly newspaper for which he writes about books, theater, film and visual art, as well as about environmental issues.

Subjects
Caribbean, lcsh:D204-475, Africa, Caraibi, schiavitù, ribellione, lcsh:History (General), rebellion, Amistad, slavery, lcsh:D1-2009, lcsh:Modern history, 1453
Abstract

The following is an expanded version of an interview with Marcus Rediker, a shortened version of which was first published in Pittsburgh City Paper. This new version also includes additional material supplied by Marcus Rediker.

Published
2013

2. Occurrence data for the two cryptic species of Cacopsylla pruni (Hemiptera: Psylloidea)

Author

Nicolas Sauvion, Jean Peccoud, Christine Meynard, David Ouvrard, Plant Health Institute of Montpellier (UMR PHIM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et biologie des interactions (EBI), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire de la Santé des Végétaux, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), This data paper was conceived within the stimulating framework of the KIM RIVE (Key Initiative Montpellier: Infectious Risks and Vectors, https://muse.edu.umontpellier.fr/key-initiatives-muse/rive), supported by MUSE (Montpellier University of Excellence, https://muse.edu.umontpellier.fr/en/muse-i-site) and the RIVOC key challenge (https://muse.edu.umontpellier.fr/2021/04/19/appel-a-projets-rivoc), supported by the Occitanie Region (France). Part of this work benefitted from a postdoctoral grant to NS funded by an INRA-CIRAD SDIPS grant (Speciation and Molecular Diagnosis of Insect Pest Species Complexes).. Field and molecular work for this study were supported by several projects during 15 years:- ECOGER 'Ecologie et adaptation des insectes phytophages en gestion de leurs populations' founded by 'Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation', France, SEE-ERANET, network 'Phytoplasma epidemiology', funded by the 6th EUFramework Programme for Research and Development (ERA-CT-2004-515805), SPEED@ID 'Accurate SPEciEs Delimitation and IDentification of Eukaryotic biodiversity using DNA markers'. A project proposed by F-BoL, the French Barcode of Life initative - Genoscope Evry-France, PRIMA PHACIE 'Pest risk assessment for the European Community plant health: A comparative approach with case studies', founded by European Food Safety Authority (EFSA), grant agreement CFP⁄EFSA⁄PLH, Bilateral project PIA BOSPHORUS between TUBITAK-Turkey and le Ministère des Affaires étrangères-France 'Role of the vectors (psyllids) in the dissemination of the diseases due to phytoplasma on fruit trees', PHYLOPSYL from the project 'Bibliothèque du vivant' (BdV) funded by three French institutions (the CNRS, INRA and MNHN), E-SPACE project number 1504-004, Improving epidemiosurveillance of Mediterranean and tropical plant diseases, French Agropolis Foundation., European Project, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Université de Montpellier (UM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Laboratoire de la santé des végétaux (LSV), Biologie et Génétique des Interactions Plante-Parasite (UMR BGPI), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), INRA-CIRAD SDIPS grant (Speciation and molecular Diagnosis of Insect Pest Species complexes)2005-07: ECOGER 'Ecologie et adaptation des insectes phytophages en gestion de leurs populations' founded by le Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation-France, 2007-08: SEE-ERA.NET, network 'Phytoplasma epidemiology', funded by the 6th EU Frame-work Programme for Research and Development (contract number ERACT- 2004-515805)2009-11: SDIPS 'Mechanisms of Speciation & Molecular Diagnosis of Insect Pest Species complexes' founded by INRA-France, 2010-12: SPEED@ID 'Accurate SPEciEs Delimitation and IDentification of Eukaryotic biodiversity using DNA markers'. A project proposed by F-BoL, the French Barcode of Life initative - Genoscope Evry-France, 2010-12: PRIMA PHACIE 'Pest risk assessment for the European Community plant health: A comparative approach with case studies', founded by European Food Safety Authority (EFSA), grant agreement CFP⁄EFSA⁄PLH⁄2009⁄01, 2010-12: Bilateral project PIA BOSPHORUS between TUBITAK-Turkey and le Ministère des Affaires étrangères-France 'Role of the vectors (psyllids) in the dissemination of the diseases due to phytoplasma on fruit trees', 2011-13: PHYLOPSYL from the project 'Bibliothèque du vivant' (BdV) funded by three French institutions (the CNRS, INRA and MNHN), and 2015-2018: E-SPACE project number 1504-004, Improving epidemiosurveillance of Mediterranean and tropical plant diseases, French Agropolis Foundation.

Subjects
Asia, Insecta, Arthropoda, Cacopsylla pruni, QH301-705.5, Biodiversity & Conservation, Cacopsylla, Evolutionary biology, Horticulture, European stone fruit yellows, vector-borne plant pathogen, Hemiptera, Data analysis & Modelling, Sternorrhyncha, Systematics, Agricultural ecology, Ecology & Environmental sciences, Animalia, phytoplasma, Biology (General), 'Candidatus phytoplasma prunorum', Data Paper (Biosciences), Diseases & Pests, Biota, Psylloidea, psyllid, Europe, ' Candidatus phytoplasma prunorum', [SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology, Psyllidae, Biogeography, Zoology & Animal Biology, Africa, species distribution, epidemiology, vecto, Americas, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Cacopsylla pruniisa psyllid that has been known since 1998 as the vector of the bacterium ‘Candidatus Phytoplasma prunorum’, responsible for the European stone fruit yellows (ESFY), a disease that affects species of Prunus. This disease is one of the major limiting factors for the production of stone fruits, most notably apricot (Prunus armeniaca) and Japanese plum (P. salicina), in all EU stone fruit-growing areas. The psyllid vector is widespread in the Western Palearctic, and evidence for the presence of the phytoplasma that it transmits to species of Prunus has been found in 15 of the 27 EU countries. Recent studies showed that C. pruni is actually composed of two cryptic species, which can be differentiated bymolecular markers. A literature review on the distribution of C. pruni was published in 2012, but it only provided presence or absence information at the country level and without distinction between the two cryptic species. Since 2012, numerous new records of the vector in several European countries have been published. We ourselves have acquired a large amountof data from sampling in France and other European countries. We have also carried out a thorough systematic literature review to find additional records, including all the original sources mentioningC. pruni (or its synonyms) since the first description by Scopoli in 1763. Our aim was to create an exhaustive georeferenced occurrence catalog, in particular in countries that are occasionnaly mentioned in the literature with little detail. Finally, for countries that seem suitable for the proliferation of C. pruni (USA, Canada, Japan, China, etc.), we digged deeper into the literature and reliablesources (e.g. checklist)to better subtanciateits current absence from those regions. Information on the distribution ranges of these vector psyllids is of crucial interest in order to best predict the vulnerability of stone fruit producing countries to the ESFY threat in the foreseeable future. We give free access to a unique file of 1975 records of all occurrence data in our possession concerning C. pruni, which we have gathered through more than twenty years of sampling efforts in Europe or through intensive text mining. We have made every effort to retrieve the source information for the records extracted from litterature (1201 records). Thus, we always give the title of the original reference, together with the page(s) citing C. pruni and, if possible, the year of sampling. To makethe results of this survey publicly available, we give a URL to access the literature sources. In most cases, this link allows to freely download a PDFfile. We also give access to information extracted from GBIF (162 exploitable data points on 245 occurrences found in the database), which we thoroughly checked and often supplemented to make the information more easily exploitable. We give access to our own unpublished georeferenced and genotyped record from 612samples taken over the last 20 years in several European countries (Switzerland, Belgium, Netherlands, Spain, etc.). Theseinclude two countries (Portugal and North Macedonia) for which the presence of C. pruni had notbeen reported before.Asour specimens have been genotyped (74 sites with species A solely, 202 with species B solely, and 310 with species A+B), our new data enable a better view of the geographical distribution of the two species at the Palaearctic scale.

Published
2021

3. 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

4. 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

5. 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