Geospatial modeling of health care access to improve interpretation of routine surveillance data
Description
Alyssa Young, Tulane School of Public Health, and Tropical Medicine
Using the Democratic Republic of the Congo (DRC) as prototype, Alyssa provided a presentation on quantifying access to health care to improve interpretation of routine surveillance data. DRC has the second-highest number of malaria cases and deaths globally (WHO, 2019)
Document type
Meetings
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