We have developed the Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) system to support malaria early warning in epidemic-prone regions of the Ethiopian highlands. EPIDEMIA is designed to enhance malaria surveillance by harnessing the potential of big data and predictive analytics to forecast the timing and locations of malaria outbreaks. To accomplish this goal, the system incorporates a set of linked software components that automate data access and harmonization, implement predictive modeling of malaria outbreaks, and generate charts and maps to communicate the predictions. A major feature of EPIDEMIA is the integration of temperature, precipitation, and vegetation data from earth-observing satellites to monitor the environmental risk factors for malaria outbreaks. These tools are being developed and tested by an interdisciplinary team that includes scientists from South Dakota State University along with partners from public health agencies, non-governmental organizations, and universities in Ethiopia. This research is funded by a grant from the National Institutes of Health, National Institute of Allergy and Infectious Diseases (R01AI079411). Development of software for acquisition and processing of earth observation data is also supported by NASA (NNX11AF67G).

For more details about the EPIDEMIA system, read our paper in the Malaria Journal.

For information about a related project focused on West Nile virus forecasting in the United States, please visit http://mosquito.sdstate.edu/.