Literature DB >> 33552307

Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing.

Ben Sheng1, Jeffrey W Eaton2, Mary Mahy3, Le Bao1.   

Abstract

In 2015, WHO and UNAIDS released new guidance recommending that countries transition from conducting antenatal clinic (ANC) unlinked anonymous testing (ANC-UAT) for tracking HIV prevalence trends among pregnant women to using ANC routine testing (ANC-RT) data, which are more consistent and economic to collect. This transition could pose challenges for distinguishing whether changes in observed prevalence are due to a change in underlying population prevalence or due to a change in the testing approach. We compared the HIV prevalence measured from ANC-UAT and ANCRT in 15 countries that had both data sources in overlapping years. We used linear mixed-e effects model (LMM) to estimate the RT-to-UAT calibration parameter as well as other unobserved quantities. We summarized the results at different levels of aggregation (e.g., country, urban, rural, and province). Based on our analysis, the HIV prevalence measured by ANC-UAT and ANC-RT data are consistent in most countries. Therefore, if large discrepancy is observed between ANC-UAT and ANC-RT at the same location, we recommend that people should be cautious and investigate the reason. For countries that lack information to estimate the calibration parameter, we propose an informative prior distribution of mean 0 and standard deviation 0.2 for the RT-to-UAT calibration parameter.

Entities:  

Keywords:  Antenatal clinic; Calibration parameter; HIV prevalence; Linear mixed-effects model; Routine HIV testing; Unlinked anonymous HIV testing

Year:  2020        PMID: 33552307      PMCID: PMC7863791          DOI: 10.1007/s12561-020-09265-4

Source DB:  PubMed          Journal:  Stat Biosci        ISSN: 1867-1764


  14 in total

1.  The UNAIDS Estimation and Projection Package: a software package to estimate and project national HIV epidemics.

Authors:  P D Ghys; T Brown; N C Grassly; G Garnett; K A Stanecki; J Stover; N Walker
Journal:  Sex Transm Infect       Date:  2004-08       Impact factor: 3.519

Review 2.  Improving projections at the country level: the UNAIDS Estimation and Projection Package 2005.

Authors:  T Brown; N C Grassly; G Garnett; K Stanecki
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

3.  Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates.

Authors:  Ben Sheng; Kimberly Marsh; Aleksandra B Slavkovic; Simon Gregson; Jeffrey W Eaton; Le Bao
Journal:  AIDS       Date:  2017-04       Impact factor: 4.177

4.  A stochastic infection rate model for estimating and projecting national HIV prevalence rates.

Authors:  Le Bao; Adrian E Raftery
Journal:  Sex Transm Infect       Date:  2010-12       Impact factor: 3.519

5.  Challenges with routine data sources for PMTCT programme monitoring in East Africa: insights from Tanzania.

Authors:  Annabelle Gourlay; Alison Wringe; Jim Todd; Denna Michael; Georges Reniers; Mark Urassa; Prosper Njau; Deborah Kajoka; Levina Lema; Basia Zaba
Journal:  Glob Health Action       Date:  2015-12-28       Impact factor: 2.640

6.  Is Zimbabwe ready to transition from anonymous unlinked sero-surveillance to using prevention of mother to child transmission of HIV (PMTCT) program data for HIV surveillance?: results of PMTCT utility study, 2012.

Authors:  E Gonese; A Mushavi; M Mungati; M Mhangara; J Dzangare; O Mugurungi; J Dee; P H Kilmarx; G Shambira; M T Tshimanga; J Hargrove
Journal:  BMC Infect Dis       Date:  2016-02-29       Impact factor: 3.090

7.  Spline-based modelling of trends in the force of HIV infection, with application to the UNAIDS Estimation and Projection Package.

Authors:  Daniel R Hogan; Joshua A Salomon
Journal:  Sex Transm Infect       Date:  2012-12       Impact factor: 3.519

8.  Modelling national HIV/AIDS epidemics: revised approach in the UNAIDS Estimation and Projection Package 2011.

Authors:  Le Bao; Joshua A Salomon; Tim Brown; Adrian E Raftery; Daniel R Hogan
Journal:  Sex Transm Infect       Date:  2012-10-08       Impact factor: 3.519

9.  Evaluation of Kenya's readiness to transition from sentinel surveillance to routine HIV testing for antenatal clinic-based HIV surveillance.

Authors:  Martin Sirengo; George W Rutherford; Boaz Otieno-Nyunya; Timothy A Kellogg; Davies Kimanga; Nicholas Muraguri; Mamo Umuro; Joy Mirjahangir; Ellen Stein; Margaret Ndisha; Andrea A Kim
Journal:  BMC Infect Dis       Date:  2016-03-05       Impact factor: 3.090

10.  HIV Surveillance Among Pregnant Women Attending Antenatal Clinics: Evolution and Current Direction.

Authors:  Jacob Dee; Jesus M Garcia Calleja; Kimberly Marsh; Irum Zaidi; Christopher Murrill; Mahesh Swaminathan
Journal:  JMIR Public Health Surveill       Date:  2017-12-05
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  1 in total

1.  Introduction to Special Issue on 'Statistical Methods for HIV/AIDS Research'.

Authors:  Ying Qing Chen
Journal:  Stat Biosci       Date:  2020-10-19
  1 in total

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