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New tool predicts malaria 90 days before an outbreak

A collaborative nine-year research project in Kenya has created the September launch of a new tool that calculates data based on environmental factors (weather, geography) and mosquitoes' mating schedule to successfully (within 86-100 percent) predict a malaria epidemic.

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A collaborative nine-year research project in Kenya has created the September launch of a new tool that calculates data based on environmental factors (weather, geography) and mosquitoes' mating schedule to successfully (within 86-100 percent) predict a malaria epidemic.

The Kenya Medical Research Institute (KEMRI), Kenya Meteorological Department and International Centre for Insect Physiology and Ecology tested their tool in Kenya, Tanzania and Uganda according to Canada's International Development Research Centre, which also co-funded the collaboration.

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