Evidence map›Paper›PMID 35170527›Full record

ArticleAIDS (London, England)2022

Estimation of HIV incidence from analysis of HIV prevalence patterns among female sex workers in Zimbabwe.

M Sanni Ali, Mariken D E Wit, Sungai T Chabata, Sitholubuhle Magutshwa, Sithembile Musemburi, Jeffrey Dirawo, Brian Rice, Lucy Platt, Loveleen Bansi-Matharu, Jones Harriet and 9 more

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

19 authors at 5 institutions in 2 countries.

M Sanni AliLondon School of Hygiene and Tropical Medicine, London, UK.
Mariken D E WitLondon School of Hygiene and Tropical Medicine, London, UK.
Sungai T ChabataCeSHHAR, Harare, Zimbabwe.
Sitholubuhle MagutshwaCeSHHAR, Harare, Zimbabwe.
Sithembile MusemburiCeSHHAR, Harare, Zimbabwe.
Jeffrey DirawoCeSHHAR, Harare, Zimbabwe.
Brian RiceLondon School of Hygiene and Tropical Medicine, London, UK.
Lucy PlattLondon School of Hygiene and Tropical Medicine, London, UK.
Loveleen Bansi-MatharuUniversity College London, London, UK.
Jones HarrietLondon School of Hygiene and Tropical Medicine, London, UK.
Tendayi MharadzeCeSHHAR, Harare, Zimbabwe.
Tarisai ChiyakaCeSHHAR, Harare, Zimbabwe.
Phillis MushatiCeSHHAR, Harare, Zimbabwe.
Owen MugurungiMinistry of Health and Child Care, Harare.
Raymond YekeyeNational AIDS Council of Zimbabwe, Harare, Zimbabwe.
Amon MpofuNational AIDS Council of Zimbabwe, Harare, Zimbabwe.
Andrew N PhillipsUniversity College London, London, UK.
Frances M CowanCeSHHAR, Harare, Zimbabwe.
James R HargreavesLondon School of Hygiene and Tropical Medicine, London, UK.
Centre for Sexual Health and HIV AIDS Research · ZWLondon School of Hygiene & Tropical Medicine · GBNational AIDS Council · ZWUniversity College London · GBMinistry of Health and Child Welfare · ZW

Funding

Wellcome Trust 214280Wellcome Trust 214280/Z/18/Z
6 · The paper itself

Abstract

objectivesTo estimate HIV incidence among female sex workers (FSW) in Zimbabwe: using HIV prevalence by age and number of years since started selling sex (YSSS).

designWe pooled data from FSW aged 18-39 participating in respondent-driven sampling surveys conducted in Zimbabwe between 2011 and 2017.

methodsFor each year of age, we estimated: HIV prevalence ( Pt ) and the change in HIV prevalence from the previous age ( Pt - Pt -1 ). We then estimated the rate of new HIV infections during that year of age: It  =  Pt - Pt -1 /(1 - Pt -1 ), and calculated HIV incidence for 18-24 and 25-39 year-olds separately as the weighted average of It . We estimated HIV incidence for FSW 1-5 years and 6-15 years since first selling sex using the same approach, and compared HIV prevalence among FSW first selling sex at their current age with the general population.

resultsAmong 9906 women, 50.2% were HIV positive. Based on HIV prevalence increases by age, we estimated an HIV incidence of 6.3/100 person-years at risk (pyar) (95% confidence interval [CI] 5.3, 7.6) among 18-24 year-olds, and 3.3/100 pyar (95% CI 1.3, 4.2) among 25-39 year-olds. Based on prevalence increases by YSSS, HIV incidence was 5.3/100 pyar (95% CI 4.3, 8.5) between 1 and 5 years since first selling sex, and 2.1/100 pyar (95% CI -1.3, 7.2) between 6 and 15 years.

conclusionsOur analysis is consistent with very high HIV incidence among FSW in Zimbabwe, especially among those who are young and recently started selling sex. There is a critical need to engage young entrants into sex work in interventions that reduce their HIV risk.

Indexed as

HIV InfectionsSex WorkersChildFemaleHumansIncidencePrevalenceZimbabwe

Identifiers

PMID35170527
PMCPMC7618220
OpenAlexW4213017158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.