Building Public Health Quantitative Methods Capacity and Networks in sub-Saharan Africa: An Evaluation of a Faculty Training Program.

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Title: Building Public Health Quantitative Methods Capacity and Networks in sub-Saharan Africa: An Evaluation of a Faculty Training Program.
Authors: Ntshebe O; Department of Population Studies, University of Botswana, Gaborone, Botswana., Anoke S; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Batidzirai JM; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa., Guure C; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana., Muganda B; Partnership for African Social and Governance Research, Nairobi, Kenya., Pagano M; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Semakula M; Rwanda Biomedical Center, Research Innovation and Data Science Division, Kigali, Rwanda.; I-BioStat, Hasselt University, Hasselt, Belgium.; Centre of Excellence in Data Science, Bio-statistics, University of Rwanda, Kigali, Rwanda., Larson E; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA. elarson@bidmc.harvard.edu.; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA, USA.
Source: Global health, science and practice [Glob Health Sci Pract] 2025 Aug 14; Vol. 13 (1). Date of Electronic Publication: 2025 Aug 14 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: U.S. Agency for International Development and Johns Hopkins Bloomberg School of Public Health, Center for Communication Programs Country of Publication: United States NLM ID: 101624414 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 2169-575X (Electronic) Linking ISSN: 2169575X NLM ISO Abbreviation: Glob Health Sci Pract Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Building Public Health Quantitative Methods Capacity and Networks in sub-Saharan Africa: An Evaluation of a Faculty Training Program.
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  Data: <searchLink fieldCode="AU" term="%22Ntshebe+O%22">Ntshebe O</searchLink>; Department of Population Studies, University of Botswana, Gaborone, Botswana.<br /><searchLink fieldCode="AU" term="%22Anoke+S%22">Anoke S</searchLink>; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Batidzirai+JM%22">Batidzirai JM</searchLink>; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Guure+C%22">Guure C</searchLink>; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.<br /><searchLink fieldCode="AU" term="%22Muganda+B%22">Muganda B</searchLink>; Partnership for African Social and Governance Research, Nairobi, Kenya.<br /><searchLink fieldCode="AU" term="%22Pagano+M%22">Pagano M</searchLink>; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Semakula+M%22">Semakula M</searchLink>; Rwanda Biomedical Center, Research Innovation and Data Science Division, Kigali, Rwanda.; I-BioStat, Hasselt University, Hasselt, Belgium.; Centre of Excellence in Data Science, Bio-statistics, University of Rwanda, Kigali, Rwanda.<br /><searchLink fieldCode="AU" term="%22Larson+E%22">Larson E</searchLink>; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA. elarson@bidmc.harvard.edu.; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA, USA.
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              Text: 2025 Aug 14
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