Evidence map›Paper›PMID 25406747›Full record

ArticleAIDS (London, England)2014

Improvements in prevalence trend fitting and incidence estimation in EPP 2013.

Tim Brown, Le Bao, Jeffrey W Eaton, Daniel R Hogan, Mary Mahy, Kimberly Marsh, Bradley M Mathers, Robert Puckett

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 46 citations in OpenAlex.

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  11. Modeling methods for estimating HIV incidence: a mathematical review.Theoretical biology & medical modelling · 2020
    Review
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  15. Challenges in modelling the proportion of undiagnosed HIV infections in Sweden.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Tim BrownaResearch Program, East-West Center, Honolulu, Hawaii bDepartment of Statistics, Pennsylvania State University, University Park, Pennsylvania, USA cDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom dDepartment of Health Statistics and Information Systems, World Health Organization eUNAIDS, Geneva, Switzerland fThe Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
Le Bao
Jeffrey W Eaton
Daniel R Hogan
Mary Mahy
Kimberly Marsh
Bradley M Mathers
Robert Puckett
East–West Center · USJoint United Nations Programme on HIV/AIDS · CHImperial College London · GBPennsylvania State University · USUNSW Sydney · AUWorld Health Organization · CH

Funding

PHS HHS 5U2GPS001537-03World Health Organization 001
6 · The paper itself

Abstract

objectiveDescribe modifications to the latest version of the Joint United Nations Programme on AIDS (UNAIDS) Estimation and Projection Package component of Spectrum (EPP 2013) to improve prevalence fitting and incidence trend estimation in national epidemics and global estimates of HIV burden.

methodsKey changes made under the guidance of the UNAIDS Reference Group on Estimates, Modelling and Projections include: availability of a range of incidence calculation models and guidance for selecting a model; a shift to reporting the Bayesian median instead of the maximum likelihood estimate; procedures for comparison and validation against reported HIV and AIDS data; incorporation of national surveys as an integral part of the fitting and calibration procedure, allowing survey trends to inform the fit; improved antenatal clinic calibration procedures in countries without surveys; adjustment of national antiretroviral therapy reports used in the fitting to include only those aged 15-49 years; better estimates of mortality among people who inject drugs; and enhancements to speed fitting.

resultsThe revised models in EPP 2013 allow closer fits to observed prevalence trend data and reflect improving understanding of HIV epidemics and associated data.

conclusionSpectrum and EPP continue to adapt to make better use of the existing data sources, incorporate new sources of information in their fitting and validation procedures, and correct for quantifiable biases in inputs as they are identified and understood. These adaptations provide countries with better calibrated estimates of incidence and prevalence, which increase epidemic understanding and provide a solid base for program and policy planning.

Indexed as

EpidemicsEpidemiologic MethodsAdolescentAdultAgedAged, 80 and overGlobal HealthHIV InfectionsHumansIncidenceMiddle AgedPrevalenceUnited NationsYoung Adult

Identifiers

PMID25406747
PMCPMC4247274
OpenAlexW2017953828

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.