Literature DB >> 7572940

The AIDS epidemic in India: a new method for estimating current human immunodeficiency virus (HIV) incidence rates.

R Brookmeyer1, T Quinn, M Shepherd, S Mehendale, J Rodrigues, R Bollinger.   

Abstract

Human immunodeficiency virus (HIV) incidence rates in India were estimated using a new method that accounts for follow-up bias. Follow-up bias arises in epidemiologic cohort studies when the incidence rate among individuals who do and do not return for follow-up are different. The new method combines data on the prevalence of p24 antigenemia among all those initially screened together with the longitudinal follow-up data on the subset of patients who returned for follow-up. Using these methods, the current HIV incidence rate among patients attending sexually transmitted disease clinics in Pune, India, was 18.6% per year. It was found that follow-up bias can cause significant underestimation in HIV incidence rates, perhaps by as much as 60%. These incidence estimates, together with other HIV seroprevalence studies, suggest the HIV epidemic in India is growing rapidly.

Entities:  

Keywords:  Acquired Immunodeficiency Syndrome; Asia; Bias; Developing Countries; Diseases; Error Sources; Estimation Technics; Follow-up Studies; Hiv Infections; India; Measurement; Methodological Studies; Research Methodology; Southern Asia; Studies; Viral Diseases

Mesh:

Year:  1995        PMID: 7572940     DOI: 10.1093/oxfordjournals.aje.a117700

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  15 in total

1.  Impact of HIV subtype on performance of the limiting antigen-avidity enzyme immunoassay, the bio-rad avidity assay, and the BED capture immunoassay in Rakai, Uganda.

Authors:  Andrew F Longosz; David Serwadda; Fred Nalugoda; Godfrey Kigozi; Veronica Franco; Ronald H Gray; Thomas C Quinn; Susan H Eshleman; Oliver Laeyendecker
Journal:  AIDS Res Hum Retroviruses       Date:  2013-10-25       Impact factor: 2.205

2.  Trends of HIV-1 seroincidence among HIV-1 sentinel surveillance groups in Cambodia, 1999-2002.

Authors:  Vonthanak Saphonn; Bharat S Parekh; Trudy Dobbs; ChiVun Mean; Leng Hor Bun; Sun Penh Ly; Sopheab Heng; Roger Detels
Journal:  J Acquir Immune Defic Syndr       Date:  2005-08-15       Impact factor: 3.731

3.  Human immunodeficiency virus type 1 env sequences from Calcutta in eastern India: identification of features that distinguish subtype C sequences in India from other subtype C sequences.

Authors:  R Shankarappa; R Chatterjee; G H Learn; D Neogi; M Ding; P Roy; A Ghosh; L Kingsley; L Harrison; J I Mullins; P Gupta
Journal:  J Virol       Date:  2001-11       Impact factor: 5.103

Review 4.  Diagnosis of Human Immunodeficiency Virus Infection.

Authors:  Bharat S Parekh; Chin-Yih Ou; Peter N Fonjungo; Mireille B Kalou; Erin Rottinghaus; Adrian Puren; Heather Alexander; Mackenzie Hurlston Cox; John N Nkengasong
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

5.  Estimating HIV incidence based on combined prevalence testing.

Authors:  Raji Balasubramanian; Stephen W Lagakos
Journal:  Biometrics       Date:  2009-04-13       Impact factor: 2.571

6.  Use of a multifaceted approach to analyze HIV incidence in a cohort study of women in the United States: HIV Prevention Trials Network 064 Study.

Authors:  Susan H Eshleman; James P Hughes; Oliver Laeyendecker; Jing Wang; Ron Brookmeyer; LeTanya Johnson-Lewis; Caroline E Mullis; John Hackett; Ana S Vallari; Jessica Justman; Sally Hodder
Journal:  J Infect Dis       Date:  2012-11-05       Impact factor: 5.226

7.  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

8.  Incident HIV infection among men attending STD clinics in Pune, India: pathways to disparity and interventions to enhance equity.

Authors:  Mary E Shepherd; Raman R Gangakhedkar; Seema Sahay; Steven J Reynolds; Manisha V Ghate; Arun R Risbud; Ramesh S Paranjape; Robert C Bollinger; Sanjay M Mehendale
Journal:  J Health Popul Nutr       Date:  2003-09       Impact factor: 2.000

9.  A likelihood estimation of HIV incidence incorporating information on past prevalence.

Authors:  Lesego Gabaitiri; Henry G Mwambi; Stephen W Lagakos; Marcello Pagano
Journal:  S Afr Stat J       Date:  2013-03

10.  HIV incidence among men who have sex with men in China: a meta-analysis of published studies.

Authors:  Hong-Min Li; Rui-Rui Peng; Jing Li; Yue-Ping Yin; Baoxi Wang; Myron S Cohen; Xiang-Sheng Chen
Journal:  PLoS One       Date:  2011-08-26       Impact factor: 3.240

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