Improving analysis of the size and dynamics of AIDS epidemics.

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.

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.

Who cites it

6 citing papers in PubMed.

1. Updated Data and Methods for the 2023 UNAIDS HIV Estimates.Journal of acquired immune deficiency syndromes (1999) · 2024
   Article
2. HIV estimates through 2018: data for decision-making.AIDS (London, England) · 2019
   Article
3. Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model.Statistics and its interface · 2015
   Article
4. Bayesian melding for estimating uncertainty in national HIV prevalence estimates.Sexually transmitted infections · 2008
   Article
5. Steep HIV prevalence declines among young people in selected Zambian communities: population-based observations (1995-2003).BMC public health · 2006
   Article
6. Producing HIV estimates: from global advocacy to country planning and impact measurement.Global health action
   Review

Corrections and comments

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

Authors and funding

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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