A weather-driven model of malaria transmission
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* Corresponding author: Moshe B Hoshen hoshen@liv.ac.uk
Malaria Journal 2004, 3:32 doi:10.1186/1475-2875-3-32
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BioMed Central: 6 citations
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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
Krijn P Paaijmans, Susan S Imbahale, Matthew B Thomas, Willem Takken Malaria Journal 2010, 9:196 (9 July 2010) The relationship between mosquito development and temperature is one of the keys to understanding the current and future dynamics and distribution of vector-borne diseases such as malaria. In this study, both air and water temperatures were fed into a temperature-dependent development model and their impact on predicted vector abundance was assessed.
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Research
A mechanistic approach for accurate simulation of village scale malaria transmission Arne Bomblies, Jean-Bernard Duchemin, Elfatih AB Eltahir Malaria Journal 2009, 8:223 (2 October 2009) This paper sets out to investigate whether a detailed description of the hydrology around villages in the Sahel can improve models of malaria transmission based solely on climatological parameters. This is a pilot study and based only on two villages.
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Research
Space-time variation of malaria incidence in Yunnan province, China Archie CA Clements, Adrian G Barnett, Zhang Cheng, Robert W Snow, Hom Zhou Malaria Journal 2009, 8:180 (31 July 2009) This study presents a space-time analysis of county-level malaria incidence for a large Province in China, a country that has traditionally been under-represented in the malaria epidemiology literature. A number of findings are likely to be of wide interest amongst the malaria epidemiology community, not least the simple presentation of robust maps of the contemporary spatial distribution of malaria risk.
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Research
Jean Gaudart, Ousmane Touré, Nadine Dessay, A lassane Dicko, Stéphane Ranque, Loic Forest, Jacques Demongeot, Ogobara K Doumbo Malaria Journal 2009, 8:61 (10 April 2009) This paper reports an ambitious attempt to produce a spatially structured model for malaria transmission in Mali, based on remote sensed vegetation indices (NDVI), together with an SIRS type transmission model, calibrated using data from the village of Bancoumana.
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Research
Alberto Gomez-Elipe, Angel Otero, Michel van Herp, Armando Aguirre-Jaime Malaria Journal 2007, 6:129 (24 September 2007) The statistical model derived from the analysis of malaria incidence case data, monthly rainfall, temperature and vegetation index is presented as a basis for forecasting monthly malaria incidence rates. The biological plausibility of the predictor variables is adequately discussed.
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