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

Journal Article

2012

Permanent link to this Item
http://hdl.handle.net/11427/15244
 http://dx.doi.org/10.1186/1475-2875-11-S1-P127
Files
Silal_Modeling_the_relationship_2012.pdf (137.03 KB)
Authors
Silal, Sheetal
Journal Title

Malaria Journal

Link to Journal
http://www.malariajournal.com/
Journal ISSN
Volume Title
Publisher

BioMed Central Ltd

Publisher

University of Cape Town

Department
Department of Statistical Sciences
Faculty
Faculty of Science
License

http://creativecommons.org/licenses/by/2.0

Series
Abstract
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.
Description
Keywords
Climatic or weather-driven factors
mosquitoes
malaria

Reference:

Silal, S. P. (2012). Modeling the relationship between precipitation and malaria incidence in Mpumalanga, South Africa. Malaria Journal, 11(Suppl 1), P127.

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