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Babatunji Odelola

United States Agency for International Development (USAID) - USAID Nigeria

Nigeria

  • United States Agency for International Development (USAID) - USAID Nigeria

SCHOLARLY PAPERS

2

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467

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Aggregating Loss to Follow-Up Behaviour in People Living with HIV on ART: A Cluster Analysis Using Unsupervised Machine Learning Algorithm in R

Number of pages: 22 Posted: 25 Nov 2020
Amobi Onovo, Akinyemi Atobatele, Abiye Kalaiwo, Christopher Obanubi, Ezekiel James, Dolapo Ogundehin, Pamela Gado, Gertrude Odezugo, Babatunji Odelola, Temitayo Odusote, Isa Iyortim, Tessie Philips-Ononye, Jemeh Pius, Omosalewa Oyelaran, Helina Meri and Rachel Goldstein
USAID Nigeria, USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria and United States Agency for International Development (USAID) - USAID Nigeria
Downloads 268 (283,835)

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Loss to follow-up; Antiretroviral therapy; Hierarchical clustering; Viral load test; Nigeria

2.

Estimates of the COVID-19 Infection Fatality Rate for 48 African Countries: A Model-based Analysis

Number of pages: 23 Posted: 10 Aug 2020
Amobi Onovo, Akinyemi Atobatele, Abiye Kalaiwo, Christopher Obanubi, Gertrude Odezugo, Ezekiel James, Dolapo Ogundehin, Pamela Gado, Doreen Magaji, Babatunji Odelola, Temitayo Odusote, Michele Russell, Janne Estill and Olivia Keiser
USAID Nigeria, USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, United States Agency for International Development (USAID) - USAID Nigeria, USAID Nigeria, USAID Nigeria, University of Geneva - Institute of Global Health and University of Geneva - Faculty of Medicine
Downloads 199 (382,358)

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COVID-19, Infection Fatality Rate, Bayesian prediction, Monte Carlo method, Influenza, Africa