Literature DB >> 15074573

Back-calculation and projection of the HIV/AIDS epidemic among homosexual/ bisexual men in three European countries: evalution of past projections and updates allowing for treatment effects.

Marc Artzrouni1.   

Abstract

This study critically evaluates the quality of 1990 back-calculations and long-term projections of the HIV/AIDS epidemic for homosexual/bisexual men in France, the Federal Republic of Germany, and the UK. The projection captured the general pattern observed in all three countries although the observed AIDS incidence peaked 2-3 years later and declined faster than had been projected. Total AIDS incidences from 1989 to 2000 were overestimated by 38.5% in France, and underestimated by 23.9 and 17.5% in western Germany and the UK. Updated back-calculations and projections to 2020 use AIDS incidence data up to 2000. The procedure incorporates an asymmetric long-tailed cumulative HIV curve as well as the increase in the median incubation period brought about by new therapies introduced during the 1990s. The results suggest that: (i) The rapid decrease in cases during the late 1990s was caused by a median incubation period that increased from 10 years to 21-23 years by the late 1990s. (ii) An imminent bottoming out followed by a protracted increase in AIDS cases from 2000 to at least 2010 could be the consequence of a leveling off of the median incubation period. (iii) A low variant of the projections shows that at least 40,000 homosexual men could develop AIDS in the three countries after 2000.

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Year:  2004        PMID: 15074573     DOI: 10.1023/b:ejep.0000017826.57607.ea

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  14 in total

1.  Time to AIDS from 1992 to 1999 in HIV-1-infected subjects with known date of infection.

Authors:  Jean-Michel Tassie; Sophie Grabar; Rémi Lancar; Jacqueline Deloumeaux; Michèle Bentata; Dominique Costagliola
Journal:  J Acquir Immune Defic Syndr       Date:  2002-05-01       Impact factor: 3.731

2.  Effectiveness of highly active antiretroviral therapy among HIV-1 infected women.

Authors:  S J Gange; Y Barrón; R M Greenblatt; K Anastos; H Minkoff; M Young; A Kovacs; M Cohen; W A Meyer; A Muñoz
Journal:  J Epidemiol Community Health       Date:  2002-02       Impact factor: 3.710

3.  A meta-analysis of estimates of the AIDS incubation distribution.

Authors:  P C Cooley; L E Myers; D N Hamill
Journal:  Eur J Epidemiol       Date:  1996-06       Impact factor: 8.082

4.  Therapy may explain recent deficits in AIDS incidence.

Authors:  M H Gail; P S Rosenberg; J J Goedert
Journal:  J Acquir Immune Defic Syndr (1988)       Date:  1990

5.  Evaluation of the effectiveness of highly active antiretroviral therapy in persons with human immunodeficiency virus using biomarker-based equivalence of disease progression.

Authors:  L P Jacobson; R Li; J Phair; J B Margolick; C R Rinaldo; R Detels; A Muñoz
Journal:  Am J Epidemiol       Date:  2002-04-15       Impact factor: 4.897

6.  Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies.

Authors:  Matthias Egger; Margaret May; Geneviève Chêne; Andrew N Phillips; Bruno Ledergerber; François Dabis; Dominique Costagliola; Antonella D'Arminio Monforte; Frank de Wolf; Peter Reiss; Jens D Lundgren; Amy C Justice; Schlomo Staszewski; Catherine Leport; Robert S Hogg; Caroline A Sabin; M John Gill; Bernd Salzberger; Jonathan A C Sterne
Journal:  Lancet       Date:  2002-07-13       Impact factor: 79.321

7.  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

8.  A model-based estimate of the mean incubation period for AIDS in homosexual men.

Authors:  K J Lui; W W Darrow; G W Rutherford
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

9.  Estimating HIV prevalence and projecting AIDS incidence in the United States: a model that accounts for therapy and changes in the surveillance definition of AIDS.

Authors:  P S Rosenberg; M H Gail; R J Carroll
Journal:  Stat Med       Date:  1992-09-30       Impact factor: 2.373

10.  A back-calculation method to estimate the age and period HIV infection intensity, considering the susceptible population.

Authors:  A Verdecchia; A B Mariotto
Journal:  Stat Med       Date:  1995-07-30       Impact factor: 2.373

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  5 in total

1.  Dynamic mathematical models of HIV/AIDS transmission in China.

Authors:  Jun-jie Wang; Kathleen Heather Reilly; Jing Luo; Chun-peng Zang; Ning Wang
Journal:  Chin Med J (Engl)       Date:  2010-08-05       Impact factor: 2.628

Review 2.  [Aspects of rehabilitation in HIV and AIDS].

Authors:  G H Franke; K P Hackbarth; A Potthoff; N Brockmeyer
Journal:  Hautarzt       Date:  2005-07       Impact factor: 0.751

3.  Correcting the actual reproduction number: a simple method to estimate R(0) from early epidemic growth data.

Authors:  Hiroshi Nishiura
Journal:  Int J Environ Res Public Health       Date:  2010-01-21       Impact factor: 3.390

4.  Is back-projection methodology still relevant for estimating HIV incidence from national surveillance data?

Authors:  Kylie-Ann Mallitt; David P Wilson; Ann McDonald; Handan Wand
Journal:  Open AIDS J       Date:  2012-09-07

5.  A Method to Estimate the Size and Characteristics of HIV-positive Populations Using an Individual-based Stochastic Simulation Model.

Authors:  Fumiyo Nakagawa; Ard van Sighem; Rodolphe Thiebaut; Colette Smith; Oliver Ratmann; Valentina Cambiano; Jan Albert; Andrew Amato-Gauci; Daniela Bezemer; Colin Campbell; Daniel Commenges; Martin Donoghoe; Deborah Ford; Roger Kouyos; Rebecca Lodwick; Jens Lundgren; Nikos Pantazis; Anastasia Pharris; Chantal Quinten; Claire Thorne; Giota Touloumi; Valerie Delpech; Andrew Phillips
Journal:  Epidemiology       Date:  2016-03       Impact factor: 4.822

  5 in total

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