Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa

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dc.contributor.authorSilal, Sheetalen_ZA
dc.date.accessioned2015-11-23T11:44:35Z
dc.date.available2015-11-23T11:44:35Z
dc.date.issued2012en_ZA
dc.description.abstractClimatic or weather-driven factors such as rainfall have considerable impact on vector abundance and the extrinsic cycles that parasites undergo in mosquitoes. Climate models therefore allow for a better understanding of the dynamics of malaria transmission. While malaria seasons occur regularly between October and May in Mpumalanga, there is considerable variation in the starting point, peak and magnitude of the season. The relationship between rainfall and malaria incidence may be used to better model the variation in the malaria season. As a first step, this study seeks to explore the complex association between rainfall and malaria incidence through time series methods.en_ZA
dc.identifier.apacitationSilal, S. (2012). Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa. <i>Malaria Journal</i>, http://hdl.handle.net/11427/15244en_ZA
dc.identifier.chicagocitationSilal, Sheetal "Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa." <i>Malaria Journal</i> (2012) http://hdl.handle.net/11427/15244en_ZA
dc.identifier.citationSilal, S. P. (2012). Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa. Malaria Journal, 11(Suppl 1), P127.en_ZA
dc.identifier.ris TY - Journal Article AU - Silal, Sheetal AB - Climatic or weather-driven factors such as rainfall have considerable impact on vector abundance and the extrinsic cycles that parasites undergo in mosquitoes. Climate models therefore allow for a better understanding of the dynamics of malaria transmission. While malaria seasons occur regularly between October and May in Mpumalanga, there is considerable variation in the starting point, peak and magnitude of the season. The relationship between rainfall and malaria incidence may be used to better model the variation in the malaria season. As a first step, this study seeks to explore the complex association between rainfall and malaria incidence through time series methods. DA - 2012 DB - OpenUCT DO - 10.1186/1475-2875-11-S1-P127 DP - University of Cape Town J1 - Malaria Journal LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa TI - Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa UR - http://hdl.handle.net/11427/15244 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15244
dc.identifier.urihttp://dx.doi.org/10.1186/1475-2875-11-S1-P127
dc.identifier.vancouvercitationSilal S. Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa. Malaria Journal. 2012; http://hdl.handle.net/11427/15244.en_ZA
dc.language.isoengen_ZA
dc.publisherBioMed Central Ltden_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution Licenseen_ZA
dc.rights.holder© 2012 Silal; licensee BioMed Central Ltd.en_ZA
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_ZA
dc.sourceMalaria Journalen_ZA
dc.source.urihttp://www.malariajournal.com/en_ZA
dc.subject.otherClimatic or weather-driven factorsen_ZA
dc.subject.othermosquitoesen_ZA
dc.subject.othermalariaen_ZA
dc.titleModeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africaen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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