Literature DB >> 2919246

The value of AIDS incidence data in assessing the spread of HIV infection.

V De Gruttola1, S W Lagakos.   

Abstract

Changes over time in the cumulative number of cases of AIDS depend in a complex way on several features of the epidemic, including the distribution of the induction time between infection with the human immunodeficiency virus (HIV) and onset of symptoms of AIDS, heterogeneity in such behaviours as sexual practices, selection of partners, and IV drug use, and changes over time in these behaviours. Consequently, the observed increase in the doubling time in cumulative AIDS incidence from 5 to 13 months, since AIDS was first recognized in 1982, demonstrates neither that the epidemic has begun to 'run its course' nor that behavioural changes have had a major impact in reducing incidence. Even in a homogeneous population with known induction distribution, AIDS incidence data currently are of little value in determining the number of persons infected with HIV unless additional information is available about the shape of cumulative incidence curve of HIV infection.

Entities:  

Mesh:

Year:  1989        PMID: 2919246     DOI: 10.1002/sim.4780080106

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Short-term predictions of HIV prevalence and AIDS incidence.

Authors:  J C Hendriks; G F Medley; S H Heisterkamp; G J Van Griensven; P J Bindels; R A Coutinho; J A Van Druten
Journal:  Epidemiol Infect       Date:  1992-08       Impact factor: 2.451

2.  Bleach programs for preventing AIDS among i.v. drug users: modeling the impact of HIV prevalence.

Authors:  J E Siegel; M C Weinstein; H V Fineberg
Journal:  Am J Public Health       Date:  1991-10       Impact factor: 9.308

3.  Projections of the HIV/AIDS epidemic for homosexual/bisexual men in France, the Federal Republic of Germany and the United Kingdom.

Authors:  M Artzrouni
Journal:  Eur J Epidemiol       Date:  1990-06       Impact factor: 8.082

4.  The use of AIDS surveillance data for short-term prediction of AIDS cases in Madrid, Spain.

Authors:  G F Medley; V Zunzunegui; R Bueno; D Lopez Gai
Journal:  Eur J Epidemiol       Date:  1991-07       Impact factor: 8.082

5.  Evaluation of the false recent classification rates of multiassay algorithms in estimating HIV type 1 subtype C incidence.

Authors:  Sikhulile Moyo; Tessa LeCuyer; Rui Wang; Simani Gaseitsiwe; Jia Weng; Rosemary Musonda; Hermann Bussmann; Madisa Mine; Susan Engelbrecht; Joseph Makhema; Richard Marlink; Marianna K Baum; Vladimir Novitsky; M Essex
Journal:  AIDS Res Hum Retroviruses       Date:  2013-09-06       Impact factor: 2.205

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.