Neena M. Philip

Columbia University - ICAP

United States

SCHOLARLY PAPERS

2

DOWNLOADS

28

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (2)

1.

Food Insecurity and the Risk of HIV Acquisition: Findings From Six Sub-Saharan African Countries, 2015-2017

Number of pages: 30 Posted: 26 May 2021
Columbia University - ICAP, Columbia University - ICAP, Centers for Disease Control and Prevention, Lesotho, World Food Programme, Italy, Columbia University - ICAP, Ministry of Health and Social Services, Namibia, Columbia University - ICAP, Government of Tanzania - Ministry of Health, Community Development, Gender, Elderly and Children, World Food Programme, Italy, Central Statistical Office, Eswatini, U.S. Centers for Disease Control and Prevention (CDC), Columbia University - ICAP, Columbia University - ICAP, U.S.Centers for Disease Control and Prevention (CDC), Centers for Disease Control and Prevention, Zambia, Centers for Disease Control and Prevention, Zambia, Republic of Uganda Ministry of Health, U.S. Centers for Disease Control and Prevention (CDC), Centers for Disease Control and Prevention, Tanzania, Columbia University - ICAP, Ministry of Health Zambia, Centers for Disease Control and Prevention, Uganda, Centers for Disease Control and Prevention, Zambia, University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics and Columbia University - ICAP
Downloads 18 (792,981)

Abstract:

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2.

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 10 (864,558)

Abstract:

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