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    Estimating age specific prevalence and force of infection in Zimbabwe using combined cross-sectional surveys from 2005 to 2015 

    Birri Makota, Rutendo Beauty; Musenge, Eustasius (Frontiers in epidemiology, 2022-12-06)
    Objective: Age structured sexual mixing patterns have been noted to be associated with HIV prevalence and force of infection. Therefore, this study aimed to estimate the age dependent HIV force of infection using survey ...
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    Factors Associated With HIV Infection in Zimbabwe Over a Decade From 2005 to 2015: An Interval-Censoring Survival Analysis Approach 

    Birri Makota, Rutendo Beauty; Musenge, Eustasius (Frontiers in Public Health, 2019-09-18)
    Objectives: The main objective of this study was to compare results from two approaches for estimating the effect of different factors on the risk of HIV infection and determine the best fitting model. Study design: We ...
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    Estimating HIV incidence over a decade in Zimbabwe: A comparison of the catalytic and Farrington models 

    Birri Makota, Rutendo Beauty; Musenge, Eustasius (PLOS Global Public Health, 2023-09-14)
    Over the years, numerous modelling studies have been proposed to estimate HIV incidence. As a result, this study aimed to evaluate two alternative methods for predicting HIV incidence in Zimbabwe between 2005 and 2015. We ...
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    Predicting HIV infection in the decade (2005–2015) pre-COVID-19 in Zimbabwe: a supervised classification-based machine learning approach 

    Birri Makota, Rutendo Beauty; Musenge, Eustasius (PLOS Digital Health, 2023-06-07)
    The burden of HIV and related diseases have been areas of great concern pre and post the emergence of COVID-19 in Zimbabwe. Machine learning models have been used to predict the risk of diseases, including HIV accurately. ...

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    AuthorBirri Makota, Rutendo Beauty (4)
    Musenge, Eustasius (4)
    SubjectHIV (2)prevalence (2)catalytic model (1)COVID-19 (1)Demographic Health Survey (1)Farrington models (1)Farrington-2-parameter models (1)force of infection (1)Generalised Additive Models (GAMs) (1)hazards models (1)... View MoreDate Issued2023 (2)2019 (1)2022 (1)Full TextFull Text (4)

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