Literature DB >> 19182926

A Simplified Formula for Inferring HIV Incidence from Cross-Sectional Surveys Using a Test for Recent Infection.

Alex Welte, Thomas A McWalter, Till Bärnighausen.   

Abstract

Mesh:

Year:  2009        PMID: 19182926      PMCID: PMC3102256          DOI: 10.1089/aid.2008.0150

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


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  9 in total

1.  UNAIDS Reference Group on estimates, modelling and projections--statement on the use of the BED assay for the estimation of HIV-1 incidence for surveillance or epidemic monitoring.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2006-01-27

2.  National HIV incidence measures--new insights into the South African epidemic.

Authors:  Thomas Rehle; Olive Shisana; Victoria Pillay; Khangelani Zuma; Adrian Puren; Warren Parker
Journal:  S Afr Med J       Date:  2007-03

3.  HIV-1 incidence estimates using IgG-capture BED-enzyme immunoassay from surveillance sites of injection drug users in three cities of China.

Authors:  Yan Jiang; Minjie Wang; Mingjian Ni; Song Duan; Yulin Wang; Jigang Feng; Yao Xiao; Yonghui Dong; Dongli Wang; Mei Han; Lifen Xiang; Luoyun Ma; Quanhua Zhou
Journal:  AIDS       Date:  2007-12       Impact factor: 4.177

4.  Relating recent infection prevalence to incidence with a sub-population of assay non-progressors.

Authors:  Thomas Andrew McWalter; Alex Welte
Journal:  J Math Biol       Date:  2009-07-25       Impact factor: 2.259

5.  Comparison of HIV type 1 incidence observed during longitudinal follow-up with incidence estimated by cross-sectional analysis using the BED capture enzyme immunoassay.

Authors:  J Steven McDougal; Bharat S Parekh; Michael L Peterson; Bernard M Branson; Trudy Dobbs; Marta Ackers; Marc Gurwith
Journal:  AIDS Res Hum Retroviruses       Date:  2006-10       Impact factor: 2.205

6.  Quantitative detection of increasing HIV type 1 antibodies after seroconversion: a simple assay for detecting recent HIV infection and estimating incidence.

Authors:  Bharat S Parekh; M Susan Kennedy; Trudy Dobbs; Chou-Pong Pau; Robert Byers; Timothy Green; Dale J Hu; Suphak Vanichseni; Nancy L Young; Kachit Choopanya; Timothy D Mastro; J Steven McDougal
Journal:  AIDS Res Hum Retroviruses       Date:  2002-03-01       Impact factor: 2.205

7.  High HIV incidence in a community with high HIV prevalence in rural South Africa: findings from a prospective population-based study.

Authors:  Till Bärnighausen; Frank Tanser; Zanomsa Gqwede; Clifford Mbizana; Kobus Herbst; Marie-Louise Newell
Journal:  AIDS       Date:  2008-01-02       Impact factor: 4.177

8.  Investigating the utility of the HIV-1 BED capture enzyme immunoassay using cross-sectional and longitudinal seroconverter specimens from Africa.

Authors:  Etienne Karita; Matt Price; Eric Hunter; Elwyn Chomba; Susan Allen; Lin Fei; Anatoli Kamali; Eduard J Sanders; Omu Anzala; Michael Katende; Nzeera Ketter
Journal:  AIDS       Date:  2007-02-19       Impact factor: 4.177

9.  Cohort Profile: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey.

Authors:  Frank Tanser; Victoria Hosegood; Till Bärnighausen; Kobus Herbst; Makandwe Nyirenda; William Muhwava; Colin Newell; Johannes Viljoen; Tinofa Mutevedzi; Marie-Louise Newell
Journal:  Int J Epidemiol       Date:  2007-11-12       Impact factor: 7.196

  9 in total
  20 in total

1.  Relating recent infection prevalence to incidence with a sub-population of assay non-progressors.

Authors:  Thomas Andrew McWalter; Alex Welte
Journal:  J Math Biol       Date:  2009-07-25       Impact factor: 2.259

2.  Reply to 'Should biomarker estimates of HIV incidence be adjusted?'.

Authors:  Alex Welte; Thomas A McWalter; Till Bärnighausen
Journal:  AIDS       Date:  2009-09-24       Impact factor: 4.177

3.  Using tests for recent infection to estimate incidence: problems and prospects for HIV.

Authors:  A Welte; T A McWalter; O Laeyendecker; T B Hallett
Journal:  Euro Surveill       Date:  2010-06-17

4.  Augmented cross-sectional studies with abbreviated follow-up for estimating HIV incidence.

Authors:  B Claggett; S W Lagakos; R Wang
Journal:  Biometrics       Date:  2011-06-13       Impact factor: 2.571

5.  Estimating HIV Incidence in Populations Using Tests for Recent Infection: Issues, Challenges and the Way Forward.

Authors:  Timothy D Mastro; Andrea A Kim; Timothy Hallett; Thomas Rehle; Alex Welte; Oliver Laeyendecker; Tom Oluoch; Jesus M Garcia-Calleja
Journal:  J HIV AIDS Surveill Epidemiol       Date:  2010-01-01

6.  Development and Evaluation of a Modified Fourth-Generation Human Immunodeficiency Virus Enzyme Immunoassay for Cross-Sectional Incidence Estimation in Clade B Populations.

Authors:  Allison R Kirkpatrick; Eshan U Patel; Connie L Celum; Richard D Moore; Joel N Blankson; Shruti H Mehta; Gregory D Kirk; Joseph B Margolick; Thomas C Quinn; Susan H Eshleman; Oliver Laeyendecker
Journal:  AIDS Res Hum Retroviruses       Date:  2016-05-05       Impact factor: 2.205

7.  Short communication: effect of short-course antenatal zidovudine and single-dose nevirapine on the BED capture enzyme immunoassay levels in HIV type 1 subtype C infection.

Authors:  Rui Wang; Jia Weng; Sikhulile Moyo; Debanjan Pain; Christopher D Barr; Dorcas Maruapula; Dineo Mongwato; Joseph Makhema; Vladimir Novitsky; M Essex
Journal:  AIDS Res Hum Retroviruses       Date:  2013-04-19       Impact factor: 2.205

8.  On the use of adjusted cross-sectional estimators of HIV incidence.

Authors:  Rui Wang; Stephen W Lagakos
Journal:  J Acquir Immune Defic Syndr       Date:  2009-12       Impact factor: 3.731

9.  Augmented cross-sectional prevalence testing for estimating HIV incidence.

Authors:  Rui Wang; Stephen W Lagakos
Journal:  Biometrics       Date:  2010-09       Impact factor: 2.571

10.  Estimation of HIV incidence using multiple biomarkers.

Authors:  Ron Brookmeyer; Jacob Konikoff; Oliver Laeyendecker; Susan H Eshleman
Journal:  Am J Epidemiol       Date:  2013-01-09       Impact factor: 4.897

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