Models for short term malaria prediction in Sri Lanka
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* Corresponding author: Olivier JT Briët o.briet@cgiar.org
Malaria Journal 2008, 7:76 doi:10.1186/1475-2875-7-76
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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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Review
Mathematical models of malaria - a review Sandip Mandal, Ram Sarkar, Somdatta Sinha Malaria Journal 2011, 10:202 (21 July 2011) A timely review article that aims to assess the current state of the malaria modelling field, predominantly focusing on mathematical (rather than statistical) models.
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Research
Temporal correlation between malaria and rainfall in Sri Lanka Olivier JT Briët, Penelope Vounatsou, Dissanayake M Gunawardena, Gawrie NL Galappaththy, Priyanie H Amerasinghe Malaria Journal 2008, 7:77 (6 May 2008) The paper looks at the relationship between rainfall and malaria incidence in Sri Lanka, allowing for spatial variability. The research findings indicate that there is little to be gained from the use of rainfall information in malaria control decision-making because of the relative low correlations observed.
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