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Fine-scale climate model projections predict malaria at local levels
Date:7/2/2014

ownscaling methodology than when using the conventional models. According to the researchers, the warm lower-altitude site is characterized by relatively consistent, year-round transmission, so even modest increases in transmission potential may translate into measurable changes in disease risk.

"This is one of the first studies to attempt to explore how climate change might impact conditions at the local level," said Michael Mann, Distinguished Professor of Meteorology, Penn State. "The results suggest the possibility that population centers in cool highland regions could be more vulnerable than previously thought, while other equally large lowland areas might be less vulnerable. But this would have to be confirmed with more detailed modeling assessments that take into account the full suite of environmental and socio-economic factors that ultimately determine risk of malaria."


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Contact: A'ndrea Elyse Messer
aem1@psu.edu
814-865-9481
Penn State
Source:Eurekalert

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