Geospatial modeling of health care access to improve interpretation of routine surveillance data

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)