Estimating HIV Prevalence in Zimbabwe Using Population-Based Survey Data

Open Access

Peer-reviewed

Research Article

Amos Chinomona ,

* E-mail: a.chinomona@ru.ac.za

Affiliations Department of Statistics, Rhodes University, Grahamstown, South Africa, School of Mathematics, Statistics and Computer Science, University of Kwa-Zulu Natal, Pietermaritzburg, South Africa
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Henry Godwell Mwambi

Affiliation School of Mathematics, Statistics and Computer Science, University of Kwa-Zulu Natal, Pietermaritzburg, South Africa
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HIV
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HIV epidemiology
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Virus testing
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Age groups
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Medical risk factors
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Statistical data
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Zimbabwe
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Statistical methods
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