(Umea University) Researchers in Sweden have developed a model that uses seasonal weather data from satellite images to accurately predict outbreak of malaria with a one-month lead time. With the model, a host of weather information gathered from satellite images can be used as a cost-effective disease forecasting model, allowing health officials to get ahead of the malaria infection curve by allocating resources and mobilizing public health responses. The model was recently described in the journal Scientific Reports, a Nature Research publication.
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Story Source: Materials provided by Scienmag
