BACKGROUND: Understanding spatio-temporal variation in malaria incidence provides a basis for effective disease control planning and monitoring. METHODS: Monthly surveillance data between 1991 and 2006 for Plasmodium vivax and Plasmodium falciparum malaria across 128 counties were assembled for Yunnan, a province of China with one of the highest burdens of malaria. County-level Bayesian Poisson regression models of incidence were constructed, with effects for rainfall, maximum temperature an...Expand abstract
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Space-time variation of malaria incidence in Yunnan province, China.
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