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Estimating risk factors for HIV infection among women in Mozambique using population-based survey data

2018-01-02Journal article Open access
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dc.contributor.authorDias, Sara
dc.contributor.authorMbofana, Francisco
dc.contributor.authorCassy, Sheyla R.
dc.contributor.authorDias, Sónia
dc.contributor.authorAugusto, Gonçalo F.
dc.contributor.authorAgadjanian, Victor
dc.contributor.authorMartins, Maria R. O.
dc.date.accessioned2025-07-17T13:01:11Z
dc.date.available2025-07-17T13:01:11Z
dc.date.issued2018-01-02
dc.description.abstractThe use of population-based survey data together with sound statistical methods can enhance better estimation of HIV risk factors and explain variations across subgroups of the population. The distribution and determinants of HIV infection in populations must be taken into consideration. We analysed data from the HIV Prevalence and Behaviour Survey in Mozambique aiming to find risk factors associated with HIV infection among Mozambican women. The paper provides a complex survey logistic regression model to explain the variation in HIV seropositivity using demographic, socio-economic and behavioural factors. Results show that women aged 25–29 years, living in female-headed households, living in richer households and those widowed, divorced or not living with a partner have higher odds of being HIV-positive. Findings from our study provide a unique and integrated perspective on risk factors for being HIV-positive among Mozambican women and could support the implementation of programmes aiming to reduce HIV infection in Mozambique.eng
dc.description.sponsorshiphis work was made possible through two research grants. Sara S Dias was funded by the Luso-AmericanDevelopment Foundation (Response Awards on HIV/AIDS, prof.109-16/07), and Sheyla R Cassy by the Calouste GulbenkianFoundation (grant process 135422). We also extend thanks toINSIDA 2009 for allowing us to use its data set for this study.
dc.identifier.citationDias, S. S., Mbofana, F., Cassy, S. R., Dias, S., Augusto, G. F., Agadjanian, V., & Martins, M. R. O. (2018). Estimating risk factors for HIV infection among women in Mozambique using population-based survey data. African Journal of AIDS Research, 17(1), 62–71. https://doi.org/10.2989/16085906.2017.1405824
dc.identifier.doi10.2989/16085906.2017.1405824
dc.identifier.issn1608-5906
dc.identifier.issn1727-9445
dc.identifier.urihttp://hdl.handle.net/10400.8/13698
dc.language.isoeng
dc.peerreviewedyes
dc.publisherNational Inquiry Services Center (NISC)
dc.relation.hasversionhttps://www.tandfonline.com/doi/abs/10.2989/16085906.2017.1405824
dc.relation.ispartofAfrican Journal of AIDS Research
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectcomplex survey
dc.subjectHIV/AIDS
dc.subjectHIV/AIDS knowledge and attitudes
dc.subjectlogistic regression
dc.subjectMozambican women
dc.titleEstimating risk factors for HIV infection among women in Mozambique using population-based survey dataeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage71
oaire.citation.issue1
oaire.citation.startPage62
oaire.citation.titleAfrican Journal of AIDS Research
oaire.citation.volume17
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDias
person.givenNameSara
person.identifier.ciencia-idAA1F-9375-B5E6
person.identifier.orcid0000-0001-6782-7481
person.identifier.ridI-9965-2018
person.identifier.scopus-author-id33367487300
relation.isAuthorOfPublicationa49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b
relation.isAuthorOfPublication.latestForDiscoverya49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b

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