Ijeamaka is a MPH student in the Epidemiology and Biostatistics program. Her current research involves using regression models and geospatial techniques to understand why Zimbabwe women travel to multiple health facilities for antenatal care and its effect on the cascade of care for prevention of mother-to-child transmission of HIV.
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ALUMNI - D-Lab Data Science Fellow
Ijeamaka is a MPH student in the Epidemiology and Biostatistics program. Her current research involves using regression models and geospatial techniques to understand why Zimbabwe women travel to multiple health facilities for antenatal care and its effect on the cascade of care for prevention of mother-to-child transmission of HIV.
Email:
Trainings
November 22, 2019
Consulting
R, Survey Design, statistical modeling, Data Cleaning
Not currently available.