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Michael Kalnoky
United States Agency for International Development (USAID) - Office of HIV/AIDS and TB
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Bayesian Predictive Modelling Enabled Reliable HIV Prevalence and Burden of HIV Estimation for Nigeria: A Model-Based Study
Number of pages: 46
Posted: 04 May 2022
Amobi Onovo Ph.D MPH PgDip-Data Science
,
Adedayo Adeyemi
,
David Onime
, Michael Kalnoky,
Baboyma Kagniniwa
,
Melaku Dessie
,
Lana Lee
,
Deidra Parrish
,
Rachel Goldstein
and
Helina Meri
Quantium Insights, Center for Infectious Diseases Research and Evaluation, United States Agency for International Development (USAID) - Office of HIV/AIDS, United States Agency for International Development (USAID) - Office of HIV/AIDS and TB, United States Agency for International Development (USAID) - Office of HIV/AIDS and TB, United States Agency for International Development (USAID) - Office of HIV/AIDS and TB, United States Agency for International Development (USAID) - Office of HIV/AIDS and TB, United States Agency for International Development (USAID) - Office of HIV/AIDS and TB, United States Agency for International Development (USAID) - Office of HIV/AIDS and United States Agency for International Development (USAID) - USAID Nigeria
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