Barun Mathema

affiliation not provided to SSRN

No Address Available

SCHOLARLY PAPERS

1

DOWNLOADS

11

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (1)

1.

Predicting High HIV Incidence Areas Using Geospatial Risk Profiles: A National Prospective Cohort Study in Eswatini

Number of pages: 20 Posted: 01 Feb 2022
Columbia University - ICAP, Drexel University - School of Public Health, affiliation not provided to SSRN, Lincoln University, University of KwaZulu-Natal - Centre for the AIDS Programme of Research in South Africa (CAPRISA), Columbia University - ICAP and affiliation not provided to SSRN
Downloads 11 (894,381)

Abstract:

Loading...

HIV, viremia, viral load, viral suppression, incidence, risk profiles, area risk profiles, geospatial, population-based, risk factor, multi-level latent class analysis