Modelling HIV incidence and survival from age-specific seroprevalence after antiretroviral treatment scale-up in rural South Africa.
Identifieur interne : 002105 ( Ncbi/Merge ); précédent : 002104; suivant : 002106Modelling HIV incidence and survival from age-specific seroprevalence after antiretroviral treatment scale-up in rural South Africa.
Auteurs : Joël Mossong [Royaume-Uni] ; Erofili Grapsa ; Frank Tanser ; Till B Rnighausen ; Marie-Louise NewellSource :
- AIDS (London, England) [ 1473-5571 ] ; 2013.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Antirétroviraux (usage thérapeutique), Femelle, Humains, Incidence, Infections à VIH (mortalité), Infections à VIH (traitement médicamenteux), Infections à VIH (épidémiologie), Jeune adulte, Modèles théoriques, Mâle, Répartition par sexe, Répartition par âge, République d'Afrique du Sud (épidémiologie), Santé en zone rurale (), Taux de survie, Études transversales.
- MESH :
- mortalité : Infections à VIH.
- traitement médicamenteux : Infections à VIH.
- usage thérapeutique : Antirétroviraux.
- épidémiologie : Infections à VIH, République d'Afrique du Sud.
- Adolescent, Adulte, Adulte d'âge moyen, Femelle, Humains, Incidence, Jeune adulte, Modèles théoriques, Mâle, Répartition par sexe, Répartition par âge, Santé en zone rurale, Taux de survie, Études transversales.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Anti-Retroviral Agents (therapeutic use), Cross-Sectional Studies, Female, HIV Infections (drug therapy), HIV Infections (epidemiology), HIV Infections (mortality), Humans, Incidence, Male, Middle Aged, Models, Theoretical, Rural Health (statistics & numerical data), Sex Distribution, South Africa (epidemiology), Survival Rate, Young Adult.
- MESH :
- chemical , therapeutic use : Anti-Retroviral Agents.
- geographic , epidemiology : South Africa.
- drug therapy : HIV Infections.
- epidemiology : HIV Infections.
- mortality : HIV Infections.
- statistics & numerical data : Rural Health.
- Adolescent, Adult, Age Distribution, Cross-Sectional Studies, Female, Humans, Incidence, Male, Middle Aged, Models, Theoretical, Sex Distribution, Survival Rate, Young Adult.
Abstract
Our study uses sex-specific and age-specific HIV prevalence data from an ongoing population-based demographic and HIV survey to infer HIV incidence and survival in rural KwaZulu-Natal between 2003 and 2011, a period when antiretroviral treatment (ART) was rolled out on a large scale.
DOI: 10.1097/01.aids.0000432475.14992.da
PubMed: 23842131
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 001189
- to stream PubMed, to step Curation: 001189
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pubmed:23842131Le document en format XML
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<front><div type="abstract" xml:lang="en">Our study uses sex-specific and age-specific HIV prevalence data from an ongoing population-based demographic and HIV survey to infer HIV incidence and survival in rural KwaZulu-Natal between 2003 and 2011, a period when antiretroviral treatment (ART) was rolled out on a large scale.</div>
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<DateCreated><Year>2013</Year>
<Month>09</Month>
<Day>13</Day>
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<DateCompleted><Year>2014</Year>
<Month>03</Month>
<Day>31</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>09</Month>
<Day>22</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1473-5571</ISSN>
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<Issue>15</Issue>
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<Day>24</Day>
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<ArticleTitle>Modelling HIV incidence and survival from age-specific seroprevalence after antiretroviral treatment scale-up in rural South Africa.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">Our study uses sex-specific and age-specific HIV prevalence data from an ongoing population-based demographic and HIV survey to infer HIV incidence and survival in rural KwaZulu-Natal between 2003 and 2011, a period when antiretroviral treatment (ART) was rolled out on a large scale.</AbstractText>
<AbstractText Label="DESIGN" NlmCategory="METHODS">Catalytic mathematical model for estimating HIV incidence and differential survival in HIV-infected persons on multiple rounds of HIV seroprevalence.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We evaluate trends of HIV incidence and survival by estimating parameters separately for women and men aged 15-49 years during three calendar periods (2003-2005, 2006-2008, 2009-2011) reflecting increasing ART coverage. We compare model-based estimates of HIV incidence with observed cohort-based estimates from the longitudinal HIV surveillance.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Median survival after HIV infection increased significantly between 2003-2005 and 2009-2011 from 10.0 [95% confidence interval (CI) 8.8-11.2] to 14.2 (95% CI 12.6-15.8) years in women (P < 0.001) and from 10.0 (95% CI 9.2-10.8) to 14.0 (95% CI 10.6-17.4) years in men (P = 0.02). Our model suggests no statistically significant reduction of HIV incidence in the age-group 15-49 years in 2009-2011 compared with 2003-2005. Age-specific and sex-specific model-based HIV incidence estimates were in good agreement with observed cohort-based estimates from the ongoing HIV surveillance.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Our catalytic modelling approach using cross-sectional age-specific HIV prevalence data could be useful to monitor trends of HIV incidence and survival in other African settings with a high ART coverage.</AbstractText>
<CopyrightInformation>© 2013 Wolters Kluwer Health | Lippincott Williams & Wilkins</CopyrightInformation>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mossong</LastName>
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<Initials>F</Initials>
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<Author ValidYN="Y"><LastName>Bärnighausen</LastName>
<ForeName>Till</ForeName>
<Initials>T</Initials>
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<Author ValidYN="Y"><LastName>Newell</LastName>
<ForeName>Marie-Louise</ForeName>
<Initials>ML</Initials>
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