Abstract
 Developing a Malaria Early Warning System for Ethiopia Track: Health and Human Services Author(s): Gabriel Senay, James Verdin Malaria is the number one health problem in Ethiopia, with an estimated 65 percent of the 70 million people exposed to malaria. Each year more than five million malaria cases are estimated to occur in the country. Satellite-derived rainfall data were used to investigate the relationships between rainfall magnitude and temporal distribution with malaria transmission rates. Preliminary data analysis of clinical malaria data from 11 districts in Ethiopia showed a strong seasonal pattern of malaria transmission rate, which is related to the seasonal pattern of rainfall with a lag time varying from a few weeks at the beginning of the rainy season to more than a month at the end of the rainy season. The presence of a lag-time between peak malaria transmission and seasonal rainfall distribution is very important for forecasting malaria outbreak using observed weather data. A plot study is proposed to link early warning maps with community activities. Gabriel Senay USGS/EROS Data Center Science EROS Data Center Sioux Falls , SD 57198 US Phone: 605-594-2758 E-mail: senay@usgs.gov James Verdin USGS EROS Data Center EROS Data Center Sioux Falls , SD 57198 US Phone: 605-594-6018 E-mail: verdin@usgs.gov |
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