Literature DB >> 19755865

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

Alex Welte, Thomas A McWalter, Till Bärnighausen.   

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Year:  2009        PMID： 19755865      PMCID： PMC4241578          DOI： 10.1097/QAD.0b013e32832eff59

Source DB:  PubMed          Journal:  AIDS        ISSN： 0269-9370            Impact factor:   4.177


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  7 in total

1.  Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay.

Authors:  John W Hargrove; Jean H Humphrey; Kuda Mutasa; Bharat S Parekh; J Steve McDougal; Robert Ntozini; Henry Chidawanyika; Lawrence H Moulton; Brian Ward; Kusum Nathoo; Peter J Iliff; Ekkehard Kopp
Journal:  AIDS       Date:  2008-02-19       Impact factor: 4.177

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

Authors:  Alex Welte; Thomas A McWalter; Till Bärnighausen
Journal:  AIDS Res Hum Retroviruses       Date:  2009-01       Impact factor: 2.205

3.  Should biomarker estimates of HIV incidence be adjusted?

Authors:  Ron Brookmeyer
Journal:  AIDS       Date:  2009-02-20       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.  A comparison of biomarker based incidence estimators.

Authors:  Thomas A McWalter; Alex Welte
Journal:  PLoS One       Date:  2009-10-07       Impact factor: 3.240

7.  HIV incidence in rural South Africa: comparison of estimates from longitudinal surveillance and cross-sectional cBED assay testing.

Authors:  Till Bärnighausen; Claudia Wallrauch; Alex Welte; Thomas A McWalter; Nhlanhla Mbizana; Johannes Viljoen; Natalie Graham; Frank Tanser; Adrian Puren; Marie-Louise Newell
Journal:  PLoS One       Date:  2008-11-04       Impact factor: 3.240
  7 in total
  9 in total

1.  A new general biomarker-based incidence estimator.

Authors:  Reshma Kassanjee; Thomas A McWalter; Till Bärnighausen; Alex Welte
Journal:  Epidemiology       Date:  2012-09       Impact factor: 4.822

2.  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

3.  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

4.  Prevalence, estimated HIV-1 incidence and viral diversity among people seeking voluntary counseling and testing services in Rio de Janeiro, Brazil.

Authors:  Carlos A Velasco de Castro; Beatriz Grinsztejn; Valdiléa G Veloso; Francisco I Bastos; José H Pilotto; Mariza G Morgado
Journal:  BMC Infect Dis       Date:  2010-07-28       Impact factor: 3.090

5.  HIV incidence determination in the United States: a multiassay approach.

Authors:  Oliver Laeyendecker; Ron Brookmeyer; Matthew M Cousins; Caroline E Mullis; Jacob Konikoff; Deborah Donnell; Connie Celum; Susan P Buchbinder; George R Seage; Gregory D Kirk; Shruti H Mehta; Jacquie Astemborski; Lisa P Jacobson; Joseph B Margolick; Joelle Brown; Thomas C Quinn; Susan H Eshleman
Journal:  J Infect Dis       Date:  2012-11-05       Impact factor: 5.226

Review 6.  Moving towards a reliable HIV incidence test - current status, resources available, future directions and challenges ahead.

Authors:  G Murphy; C D Pilcher; S M Keating; R Kassanjee; S N Facente; A Welte; E Grebe; K Marson; M P Busch; P Dailey; N Parkin; J Osborn; S Ongarello; K Marsh; J M Garcia-Calleja
Journal:  Epidemiol Infect       Date:  2016-12-22       Impact factor: 4.434

7.  Dual testing algorithm of BED-CEIA and AxSYM Avidity Index assays performs best in identifying recent HIV infection in a sample of Rwandan sex workers.

Authors:  Sarah L Braunstein; Denis Nash; Andrea A Kim; Ken Ford; Lambert Mwambarangwe; Chantal M Ingabire; Joseph Vyankandondera; Janneke H H M van de Wijgert
Journal:  PLoS One       Date:  2011-04-12       Impact factor: 3.240

8.  BED estimates of HIV incidence: resolving the differences, making things simpler.

Authors:  John Hargrove; Cari van Schalkwyk; Hayden Eastwood
Journal:  PLoS One       Date:  2012-01-03       Impact factor: 3.240

Review 9.  Estimating the HIV incidence rate: recent and future developments.

Authors:  Timothy B Hallett
Journal:  Curr Opin HIV AIDS       Date:  2011-03       Impact factor: 4.283
  9 in total

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