Data triangulation to estimate age-specific coverage of voluntary medical male circumcision for HIV prevention in four Kenyan counties.

Katharine E Kripke Marjorie Opuni Elijah J OdoyoMathews OnyangoPeter W YoungKennedy SerremVincent OjiamboMelissa SchnurePeter StegmanEmmanuel Njeuhmeli

Published in: PloS one (2018)

Our analysis points to solutions for some of the data issues encountered in Kenya. Kenya is the first country in which these data issues have been encountered because baseline circumcision rates were high. We anticipate that some of the modeling methods we developed for Kenya will be applicable in other countries.

Keyphrases

electronic health record
big data
healthcare
data analysis
machine learning
health insurance