Modelling the impact of maternal HIV on uninfected children: correcting current estimates

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dc.contributor.authorLabuschagne, Phillip
dc.contributor.authorDesmond, Chris
dc.contributor.authorCluver, Lucie Dale
dc.date.accessioned2021-01-05T08:56:49Z
dc.date.available2021-01-05T08:56:49Z
dc.date.issued2020
dc.description.abstractA mathematical model, populated primarily with data from South Africa, was developed to model the numbers of children affected by maternal HIV, and the number who will experience long-term negative developmental consequences. A micro-simulation model generated two scenarios. The first simulated a cohort of women whose HIV status mimicked that of a target population, and mother–child dyads by way of age- and disease-specific fertility rates. Factors defining risk were used to characterize the simulated environment. The second scenario simulated mother-child dyads without maternal HIV. In the first scenario an estimated 26% of children are orphaned, compared to 10% in the absence of HIV. And a further 19% of children whose mother is alive when they turn 18 are affected by maternal HIV. School drop-out among all children increased by 4 percentage points because of maternal HIV, similarly population level estimates of abuse and negative mental health outcomes are elevated.en_US
dc.identifier.citationLabuschagne, P. et al .(2020). Modelling the impact of maternal HIV on uninfected children: correcting current estimates. AIDS Care - Psychological and Socio-Medical Aspects of AIDS/HIV ,32(11), 1406-1414en_US
dc.identifier.issn1360-0451
dc.identifier.uri10.1080/09540121.2020.1720587
dc.identifier.urihttp://hdl.handle.net/10566/5550
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectChildren affected by HIVen_US
dc.subjectMicro-simulationen_US
dc.subjectModellingen_US
dc.subjectOrphansen_US
dc.subjectUninfected childrenen_US
dc.titleModelling the impact of maternal HIV on uninfected children: correcting current estimatesen_US
dc.typeArticleen_US

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