American Journal of Epidemiology Vol. 142, No. 7: 709-713
Copyright © 1995 by The Johns Hopkins University School of Hygiene and Public Health
other |
A BRIEF ORIGINAL CONTRIBUTION
The AIDS Epidemic in India: A New Method for Estimating Current Human Immunodeficiency Virus (HIV) Incidence Rates
1Department of Biostatistics, School of Hygiene and Public Health, The Johns Hopkins University Baltimore, MD.
2Division of Infectious Diseases, The Johns Hopkins University School of Medicine Baltimore, MD.
3National Institute of Allergy and Infectious Diseases Bethesda, MD.
4The National AIDS Research Institute Pune, India.
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. Am J Epidemiol 1995;142:709–13.
acquired immunodeficiency syndrome;; bias (epidemiology);; cross-sectional studies;; epidemiologic methods;; HIV;; statistics
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  S. R. Cole, H. Chu, and R. Brookmeyer Confidence Intervals for Biomarker-based Human Immunodeficiency Virus Incidence Estimates and Differences using Prevalent Data Am. J. Epidemiol., January 1, 2007; 165(1): 94 - 100. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Mohammed and S. Panakadan HIV/AIDS in India: Problem and Response Journal of Health Management, October 1, 2003; 5(2): 191 - 203. [Abstract] [PDF]
|
|
|
|
 |
|
 R. Shankarappa, R. Chatterjee, G. H. Learn, D. Neogi, M. Ding, P. Roy, A. Ghosh, L. Kingsley, L. Harrison, J. I. Mullins, et al. 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 J. Virol., November 1, 2001; 75(21): 10479 - 10487. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. M. Williamson, G. A. Satten, J. A. Hanson, H. Weinstock, and S. Datta Analysis of Dynamic Cohort Data Am. J. Epidemiol., August 15, 2001; 154(4): 366 - 372. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Schwarcz, T. Kellogg, W. McFarland, B. Louie, R. Kohn, M. Busch, M. Katz, G. Bolan, J. Klausner, and H. Weinstock Differences in the Temporal Trends of HIV Seroincidence and Seroprevalence among Sexually Transmitted Disease Clinic Patients, 1989-1998: Application of the Serologic Testing Algorithm for Recent HIV Seroconversion Am. J. Epidemiol., May 15, 2001; 153(10): 925 - 934. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 N. G Becker and I. C Marschner Advances in medical statistics arising from the AIDS epidemic Statistical Methods in Medical Research, April 1, 2001; 10(2): 117 - 140. [Abstract] [PDF]
|
|
|
|
 |
|
 R. S. Janssen, G. A. Satten, S. L. Stramer, B. D. Rawal, T. R. O'Brien, B. J. Weiblen, F. M. Hecht, N. Jack, F. R. Cleghorn, J. O. Kahn, et al. New Testing Strategy to Detect Early HIV-1 Infection for Use in Incidence Estimates and for Clinical and Prevention Purposes JAMA, July 1, 1998; 280(1): 42 - 48. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. C. Bollinger, R. S. Brookmeyer, S. M. Mehendale, R. S. Paranjape, M. E. Shepherd, D. A. Gadkari, and T. C. Quinn Risk Factors and Clinical Presentation of Acute Primary HIV Infection in India JAMA, December 17, 1997; 278(23): 2085 - 2089. [Abstract] [PDF]
|
|