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• W1698150934 abstract "Climate is a major driving force behind malaria transmission and climate data are often used to account for the spatial, seasonal and interannual variation in malaria transmission. This paper describes a mathematical-biological model of the parasite dynamics, comprising both the weather-dependent within-vector stages and the weather-independent within-host stages. Numerical evaluations of the model in both time and space show that it qualitatively reconstructs the prevalence of infection. A process-based modelling structure has been developed that may be suitable for the simulation of malaria forecasts based on seasonal weather forecasts." @default.
• W1698150934 created "2016-06-24" @default.
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• W1698150934 date "2004-01-01" @default.
• W1698150934 modified "2023-10-15" @default.
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• W1698150934 doi "https://doi.org/10.1186/1475-2875-3-32" @default.
• W1698150934 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/520827" @default.
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