Výsledky vyhledávání - "Dolapo Ogundehin"

Akademický článek

Prevalence and predictors of persistent low-level HIV viraemia: a retrospective cohort study among people receiving dolutegravir-based antiretroviral therapy in Southern Nigeria

Autor: Ogheneuzuazo Onwah, Esther Nwanja, Uduak Akpan, Otoyo Toyo, Chiagozie Nwangeneh, Babatunde Oyawola, Augustine Idemudia, Kolawole Olatunbosun, Onyeka Igboelina, Dolapo Ogundehin, Ezekiel James, Okezie Onyedinachi, Adeoye Adegboye, Andy Eyo

Publikováno v: Therapeutic Advances in Infectious Disease, Vol 11 (2024)

Background: Persistent low-level viraemia (PLLV) is a risk factor for virologic failure among people receiving antiretroviral therapy (ART). Objectives: We assessed the prevalence and predictors of PLLV among individuals receiving Dolutegravir-based

Externí odkaz: https://doaj.org/article/a88c23e59a714f28b6fc5d297b816483

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Akademický článek

How Hypertension Rates and HIV Treatment Outcomes Compare between Older Females and Males Enrolled in an HIV Treatment Program in Southern Nigeria: A Retrospective Analysis

Autor: Uduak Akpan, Moses Bateganya, Otoyo Toyo, Esther Nwanja, Chiagozie Nwangeneh, Onwah Ogheneuzuazo, Augustine Idemudia, Ezekiel James, Dolapo Ogundehin, Adeoye Adegboye, Okezie Onyedinachi, Andy Eyo

Publikováno v: Tropical Medicine and Infectious Disease, Vol 8, Iss 9, p 432 (2023)

Studies show that treatment outcomes may vary among persons living with HIV. To fast-track the attainment of epidemic control across gender and age groups, the Accelerating Control of the HIV Epidemic (ACE-5) Project implemented in Akwa Ibom and Cros

Externí odkaz: https://doaj.org/article/ad203d738a0942e69846d1d0af356de7

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Using Supervised Machine Learning and Empirical Bayesian Kriging to reveal Correlates and Patterns of COVID-19 Disease outbreak in sub-Saharan Africa: Exploratory Data Analysis

Autor: Pamela Gado, Dolapo Ogundehin, Ezekiel James, Gertrude Odezugo, Christopher Obanubi, Michele Russell, Doreen Magaji, Akinyemi Atobatele, Amobi Onovo, Abiye Kalaiwo

IntroductionCoronavirus disease 2019 (COVID-19) is an emerging infectious disease that was first reported in Wuhan1,2, China, and has subsequently spread worldwide. Knowledge of coronavirus-related risk factors can help countries build more systemati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a120beb4f354c2f3e94a37f284520d3

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Aggregating loss to follow-up behaviour in People Living with HIV on ART: a cluster analysis using unsupervised machine learning algorithm in R

Autor: Gertrude Odezugo, Christopher Obanubi, Abiye Kalaiwo, Akinyemi Atobatele, Jemeh Pius, Rachel Goldstein, Babatunji Odelola, Ezekiel James, Pamela Gado, Temitayo Odusote, Amobi Onovo, Tessie Philips-Ononye, Helina Meri, Isa Iyortim, Omosalewa Oyelaran, Dolapo Ogundehin

Background Lifelong antiretroviral therapy (ART) improves optimal health outcomes for HIV‐positive individuals, but is threatened by fluctuations in sustained care, self efficacy and hence poor adherence. Retention of patients in the HIV care conti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43f6f5da67ca64d16f1398842c8cd19e

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