American Journal of Epidemiology Vol. 153, No. 10 : 935-937
Copyright © 2001 by The Johns Hopkins University School of Hygiene and Public Health
ORIGINAL CONTRIBUTIONS |
Invited Commentary: Should We Estimate Incidence for Undefined Populations?
1 Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
2 Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Abbreviations: AIDS, acquired immunodeficiency syndrome; HIV, human immunodeficiency virus; STARHS, Serologic Testing Algorithm for Recent HIV Seroconversion; STD, sexually transmitted disease.
 |
INTRODUCTION |
|---|
When acquired immunodeficiency syndrome (AIDS) and its potential threat to public health were recognized 20 years ago, disease control officials confronted major challenges in tracking the spread of human immunodeficiency virus (HIV) infection (1
). Since most persons do not experience characteristic symptoms for many years after infection with HIV, AIDS case reports could not provide timely information about the progress of the epidemic. At the same time, the combination of very low overall prevalence; wide variability in HIV prevalence by geographic, demographic and behavioral subgroups; and the powerful social stigma associated with the behaviors linked to the disease posed major barriers to serosurveys in the general population. Meanwhile, the seriousness of the disease, its potential for rapid dissemination, and the intensity of public concern made effective surveillance essential. Serosurveillance of sentinel populations, notably the Centers for Disease Control and Prevention's family of serosurveys (1, 2), emerged as |
NOTES |
|---|
|
REFERENCES |
|---|
CiteULike 
Connotea 
Del.icio.us What's this?
Related articles in Am. J. Epidemiol.:
- Schwarcz et al. Respond to "Should We Estimate Incidence for Undefined Populations?"
- Sandra Schwarcz, William McFarland, Mitchell Katz, and Hillard Weinstock
Am. J. Epidemiol. 2001 153: 938.[Extract] [FREE Full Text] - 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
- Sandra Schwarcz, Timothy Kellogg, William McFarland, Brian Louie, Robert Kohn, Michael Busch, Mitchell Katz, Gail Bolan, Jeff Klausner, and Hillard Weinstock
Am. J. Epidemiol. 2001 153: 925-934.[Abstract] [FREE Full Text]
This article has been cited by other articles:
|
|
 |
|
  C. D. Pilcher, S. A. Fiscus, T. Q. Nguyen, E. Foust, L. Wolf, D. Williams, R. Ashby, J. O. O'Dowd, J. T. McPherson, B. Stalzer, et al. Detection of Acute Infections during HIV Testing in North Carolina N. Engl. J. Med., May 5, 2005; 352(18): 1873 - 1883. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Schwarcz, W. McFarland, M. Katz, and H. Weinstock Schwarcz et al. Respond to "Should We Estimate Incidence for Undefined Populations?" Am. J. Epidemiol., May 15, 2001; 153(10): 938 - 938. [Full Text] [PDF]
|
|