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Types of homes and ways of life : a territorial analysis of the environmental determinants that factor into the proliferation of malaria vectors in the rural region of Allada in Benin

Authors :
André Garcia
Cédric Pennetier
Gilles Cottrell
Martine Tabeaud
Benjamin Lysaniuk
Roman Ladsous
Lysaniuk, Benjamin
Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG)
Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-AgroParisTech-Université Paris-Sorbonne (UP4)-École pratique des hautes études (EPHE)-Institut de Recherche pour le Développement (IRD)-Université Panthéon-Sorbonne (UP1)
Espaces, Nature et Culture (ENeC)
Université Paris-Sorbonne (UP4)-Centre National de la Recherche Scientifique (CNRS)
Département Sociétés Santé
Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])
UMR216, IRD
Université Paris Descartes - Faculté de Pharmacie de Paris (UPD5 Pharmacie)
Université Paris Descartes - Paris 5 (UPD5)
Pôle de recherche pour l'organisation et la diffusion de l'information géographique ( PRODIG )
Centre National de la Recherche Scientifique ( CNRS ) -Université Paris Diderot - Paris 7 ( UPD7 ) -AgroParisTech-Université Paris-Sorbonne ( UP4 ) -École pratique des hautes études ( EPHE ) -Institut de Recherche pour le Développement ( IRD ) -Université Panthéon-Sorbonne ( UP1 )
Espaces, Nature et Culture ( ENeC )
Université Paris-Sorbonne ( UP4 ) -Centre National de la Recherche Scientifique ( CNRS )
Institut de Recherche pour le Développement ( IRD [Nouvelle-Calédonie] )
Université Paris Descartes - Faculté de Pharmacie de Paris ( UPD5 Pharmacie )
Université Paris Descartes - Paris 5 ( UPD5 )
Université Paris-Sorbonne (UP4) - Centre National de la Recherche Scientifique (CNRS)
Université Panthéon-Sorbonne (UP1) - Institut de Recherche pour le Développement (IRD) - École pratique des hautes études (EPHE) - Université Paris-Sorbonne (UP4) - Université Paris Diderot - Paris 7 (UPD7) - Centre National de la Recherche Scientifique (CNRS)
Laboratoire Récepteurs et Canaux Ioniques Membranaires (RCIM)
Université d'Angers (UA) - Institut National de la Recherche Agronomique (INRA)
Laboratoire de Lutte contre des Insectes Nuisibles (LIN)
Institut Recherche Développement
Mère et enfant face aux infections tropicales (MERIT)
Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Source :
Rural and Remote Health, Rural and Remote Health, James Cook University, 2015, 15 (1), Rural and Remote Health, James Cook University, 2015, 15 (1), 〈http://www.rrh.org.au/articles/subviewnew.asp?ArticleID=2696〉, ResearcherID, Rural and Remote Health, James Cook University, 2013, Europe PubMed Central
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; Introduction: Anthropogenic factors, as well as environmental factors, can explain fine-scale spatial differences in vector densities and seasonal variations in malaria. In this pilot study, numbers of Anopheles gambiae were quantified in concessions in a rural area of southern Benin, West Africa, in order to establish whether vector number and human factors, such as habitat and living practices, are related. Methods: The courtyard homes of 64 concessions (houses and private yards) were systematically and similarly photographed. Predefined features in the photographed items were extracted by applying an analysis grid that listed vector resting sites or potential breeding sites and also more general information about the building materials used. These data were analysed with respect to entomological data (number of mosquitoes caught per night) using the Kruskal-Wallis test, Pearson correlation coefficients, and analysis of covariance (ANCOVA). Results: Three recurrent habitat/household types and living practices were identified that corresponded to different standards of living. These were related to the average number of mosquitoes captured per night: type I=0.88 anopheles/night; type II=0.85; and type III 0.55, but this was not statistically significant (Kruskal-Wallis test; p=0.41). There were no significant relationships between the number of potential breeding sites and number of mosquitoes caught (Pearson's correlation coefficient=-0.09, p=0.53). ANCOVA analysis of building materials and numbers of openings did not explain variation in the number of mosquitoes caught. Conclusions: Three dwelling types were identified by using predetermined socio-environmental characteristics but there was no association found in this study between vector number and habitat characteristics as was suspected.

Details

Language :
English
ISSN :
14456354
Database :
OpenAIRE
Journal :
Rural and Remote Health, Rural and Remote Health, James Cook University, 2015, 15 (1), Rural and Remote Health, James Cook University, 2015, 15 (1), 〈http://www.rrh.org.au/articles/subviewnew.asp?ArticleID=2696〉, ResearcherID, Rural and Remote Health, James Cook University, 2013, Europe PubMed Central
Accession number :
edsair.doi.dedup.....636629a1cb157320fd788899e9eb32b8