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Mapping measles burden in low- and middle-income countries.

This project uses dynamic spatial modeling techniques to estimate subnational patterns of measles epidemiology and burden in select countries, using geospatial estimates of measles immunization coverage and available surveillance data.

Active Dates 
01/01/2020 to 12/31/2022
Faculty Involved