ArticleGlobal health action2014
Does the Spectrum model accurately predict trends in adult mortality? Evaluation of model estimates using empirical data from a rural HIV community cohort study in North-Western Tanzania.
Article in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Trends in proportion of older HIV-infected people in care in Latin America and the Caribbean: a growing challenge.Epidemiology and infection · 2018Article
- Empirical validation of the UNAIDS Spectrum model for subnational HIV estimates: case-study of children and adults in Manicaland, Zimbabwe.AIDS (London, England) · 2017Article
- Participation dynamics in population-based longitudinal HIV surveillance in rural South Africa.PloS one · 2015Article
- Embracing different approaches to estimating HIV incidence, prevalence and mortality.AIDS (London, England) · 2014Review
- Adjusting the HIV prevalence for non-respondents using mortality rates in an open cohort in northwest Tanzania.Tropical medicine & international health : TM & IH · 2014Article
- Measuring HIV-related mortality in the first decade of anti-retroviral therapy in sub-Saharan Africa.Global health action · 2014Article
- How have ART treatment programmes changed the patterns of excess mortality in people living with HIV? Estimates from four countries in East and Southern Africa.Global health action · 2014Article
- Using HIV-attributable mortality to assess the impact of antiretroviral therapy on adult mortality in rural Tanzania.Global health action · 2014Article
Corrections and comments
- Retraction · 2014-03-11Error in Text ·
- Erratum issuedCorrigendum.2014
Authors and funding
10 authors.
Funding
Abstract
introductionSpectrum epidemiological models are used by UNAIDS to provide global, regional and national HIV estimates and projections, which are then used for evidence-based health planning for HIV services. However, there are no validations of the Spectrum model against empirical serological and mortality data from populations in sub-Saharan Africa.
methodsSerologic, demographic and verbal autopsy data have been regularly collected among over 30,000 residents in north-western Tanzania since 1994. Five-year age-specific mortality rates (ASMRs) per 1,000 person years and the probability of dying between 15 and 60 years of age (45Q15,) were calculated and compared with the Spectrum model outputs. Mortality trends by HIV status are shown for periods before the introduction of antiretroviral therapy (1994-1999, 2000-2005) and the first 5 years afterwards (2005-2009).
resultsAmong 30-34 year olds of both sexes, observed ASMRs per 1,000 person years were 13.33 (95% CI: 10.75-16.52) in the period 1994-1999, 11.03 (95% CI: 8.84-13.77) in 2000-2004, and 6.22 (95% CI; 4.75-8.15) in 2005-2009. Among the same age group, the ASMRs estimated by the Spectrum model were 10.55, 11.13 and 8.15 for the periods 1994-1999, 2000-2004 and 2005-2009, respectively. The cohort data, for both sexes combined, showed that the 45Q15 declined from 39% (95% CI: 27-55%) in 1994 to 22% (95% CI: 17-29%) in 2009, whereas the Spectrum model predicted a decline from 43% in 1994 to 37% in 2009.
conclusionFrom 1994 to 2009, the observed decrease in ASMRs was steeper in younger age groups than that predicted by the Spectrum model, perhaps because the Spectrum model under-estimated the ASMRs in 30-34 year olds in 1994-99. However, the Spectrum model predicted greater 45Q15 mortality than observed in the cohort,although the reasons for this over-estimate are unclear [corrected].
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