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<datestamp>2016-04-28</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali</title>
<creator>Coulibaly, Drissa</creator>
<creator>Rebaudet, Stanislas</creator>
<creator>Travassos, Mark</creator>
<creator>Tolo, Youssouf</creator>
<creator>Laurens, Matthew</creator>
<creator>Kone, AK</creator>
<creator>Traore, Karim</creator>
<creator>Guindo, Ando</creator>
<creator>Diarra, Issa</creator>
<creator>Niangaly, Amadou</creator>
<creator>Daou, Modibo</creator>
<creator>Dembele, Ahmadou</creator>
<creator>Sissoko, Mody</creator>
<creator>Kouriba, Bourema</creator>
<creator>Dessay, Nadine</creator>
<creator>Gaudart, Jean</creator>
<creator>Piarroux, Renaud</creator>
<creator>thera, mahamadou, </creator>
<creator>plowe, cv</creator>
<creator>Doumbo, Ogobara</creator>
<contributor>EconomiX ; Centre National de la Recherche Scientifique (CNRS) - Université Paris 10, Paris Ouest Nanterre La Défense (UP10)</contributor>
<contributor>Aix Marseille Université (AMU)</contributor>
<contributor>Département d'Epidémiologie des Affections parasitaires, Malaria Research and training center Université de Bamako, Mali ; Université de Bamako</contributor>
<contributor>Institut des Maladies Emergentes et des Thérapies Innovantes (IMETI) ; CEA (CEA) - Université Paris Saclay</contributor>
<contributor>Laboratoire des écoulements géophysiques et industriels (LEGI) ; Université Joseph Fourier - Grenoble 1 (UJF) - Institut National Polytechnique de Grenoble (INPG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Laboratoire de Génie Civil et d'Ingénierie Environnementale (LGCIE) ; Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées (INSA)</contributor>
<contributor>Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM) ; Aix Marseille Université (AMU) - ORS PACA - Institut National de la Santé et de la Recherche Médicale (INSERM)</contributor>
<contributor>Malaria Research and Training Center (MRTC) ; Faculté de Médecine de Bamako</contributor>
<contributor>Espace pour le Développement (UMR ESPACE-DEV) ; Université des Antilles et de la Guyane (UAG) - Université de la Réunion - Université de Montpellier (UM) - Institut de Recherche pour le Développement (IRD)</contributor>
<contributor>Laboratoire Chrono-environnement (LCE) ; Centre National de la Recherche Scientifique (CNRS) - Université de Franche-Comté (UFC)</contributor>
<contributor>Département d'épidémiologie des affections parasitaires (DEAP) ; Université du Mali - Malaria Research and Training Center (MRTC) - Facultés de Médecine, de Pharmacie et d'Odonto-Stomatologie - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>ISSN: 1475-2875</source>
<source>Malaria Journal</source>
<publisher>BioMed Central</publisher>
<identifier>hal-01307672</identifier>
<identifier>https://hal-amu.archives-ouvertes.fr/hal-01307672</identifier>
<identifier>https://hal-amu.archives-ouvertes.fr/hal-01307672/document</identifier>
<identifier>https://hal-amu.archives-ouvertes.fr/hal-01307672/file/1475-2875-12-82.pdf</identifier>
<source>https://hal-amu.archives-ouvertes.fr/hal-01307672</source>
<source>Malaria Journal, BioMed Central, 2013, <10.1186/1476-072X-2-5></source>
<identifier>DOI : 10.1186/1476-072X-2-5</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1186/1476-072X-2-5</relation>
<language>en</language>
<subject lang=en>Malaria</subject>
<subject lang=en>Geographic information system</subject>
<subject lang=en>Malaria transmission heterogeneity</subject>
<subject>[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]</subject>
<subject>[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]</subject>
<subject>[STAT.ME] Statistics [stat]/Methodology [stat.ME]</subject>
<subject>[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]</subject>
<subject>[SDE.ES] Environmental Sciences/Environmental and Society</subject>
<subject>[SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health</subject>
<subject>[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases</subject>
<subject>[SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases</subject>
<subject>[SDV.MP.PAR] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology</subject>
<subject>[SDV.SPEE] Life Sciences [q-bio]/Public Health and Epidemiology</subject>
<subject>[STAT.AP] Statistics [stat]/Applications [stat.AP]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Background: Heterogeneous patterns of malaria transmission are thought to be driven by factors including host genetics, distance to mosquito breeding sites, housing construction, and socio-behavioural characteristics. Evaluation of local transmission epidemiology to characterize malaria risk is essential for planning malaria control and elimination programmes. The use of geographical information systems (GIS) techniques has been a major asset to this approach. To assess time and space distribution of malaria disease in Bandiagara, Mali, within a transmission season, data were used from an ongoing malaria incidence study that enrolled 300 participants aged under six years old ". Methods: Children's households were georeferenced using a handheld global position system. Clinical malaria was defined as a positive blood slide for Plasmodium falciparum asexual stages associated with at least one of the following signs: headache, body aches, fever, chills and weakness. Daily rainfall was measured at the local weather station. Landscape features of Bandiagara were obtained from satellite images and field survey. QGIS™ software was used to map malaria cases, affected and non-affected children, and the number of malaria episodes per child in each block of Bandiagara. Clusters of high or low risk were identified under SaTScan W software according to a Bernoulli model. Results: From June 2009 to May 2010, 296 clinical malaria cases were recorded. Though clearly temporally related to the rains, Plasmodium falciparum occurrence persisted late in the dry season. Two " hot spots " of malaria transmission also found, notably along the Yamé River, characterized by higher than expected numbers of malaria cases, and high numbers of clinical episodes per child. Conversely, the northeastern sector of the town had fewer cases despite its proximity to a large body of standing water which was mosquito habitat. Conclusion: These results confirm the existence of a marked spatial heterogeneity of malaria transmission in Bandiagara, providing support for implementation of targeted interventions. Background Malaria is one of the leading causes of morbidity and mortality in the world, with an estimated 3.3 billion people at risk of malaria [1]. The incidence of malaria worldwide is estimated to be 216 million cases per year, with 81% of these cases occurring in sub-Saharan Africa. Malaria kills approximately 655,000 people per year; 91% of deaths occur in sub-Saharan Africa [1], mostly in children under five years of age. In Mali, West Africa, malaria represents 36.5% of consultation motives in health center, it is a leading cause of morbidity and mortality children of less than five years of age and the first reason of anaemia in pregnant women [2]. Malaria transmission is seasonal. Malaria parasite transmission and clinical disease are characterized by important microgeographic variation, often between adjacent villages, households or families [3-8]. This local heterogeneity is driven by a variety of factors including human genetics [9,10], distance to potential breeding sites [11,12], housing construction</description>
<date>2013</date>
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