Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure
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* Corresponding author: Marlies H Craig craigm@mrc.ac.za
International Journal of Health Geographics 2007, 6:44 doi:10.1186/1476-072X-6-44
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BioMed Central: 3 citations
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Methodology
Sayantani Roy, Ram Sarkar, Somdatta Sinha Malaria Journal 2011, 10:301 (14 October 2011) Elucidation of the relationships between malaria incidence and climatic and non-climatic factors in a region is essential for understanding the causative factors of disease dissemination and design of control strategies. The methodology described promises to provide reliable forecast of malaria incidence across varying environmental conditions
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Research article
The risks of malaria infection in Kenya in 2009 Abdisalan M Noor, Peter W Gething, Victor A Alegana, Anand P Patil, Simon I Hay, Eric Muchiri, Elizabeth Juma, Robert W Snow BMC Infectious Diseases 2009, 9:180 (20 November 2009) The majority of Kenyan people live in low risk areas for malaria according to mathematical modeling of Plasmodium falciparum distribution; monitoring the epidemiology of this condition may help tailor effective interventions.
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Research
Spatial prediction of Plasmodium falciparum prevalence in Somalia Abdisalan M Noor, Archie CA Clements, Peter W Gething, Grainne Moloney, Mohammed Borle, Tanya Shewchuk, Simon I Hay, Robert W Snow Malaria Journal 2008, 7:159 (21 August 2008) A sound, state-of-the-art analysis of recent data of Plasmodium falciparum infection obtained through household surveys, and predicting prevalence of infection at all locations to produce a malaria distribution map for Somalia.
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