Literature DB >> 3294425

Methods for projecting course of acquired immunodeficiency syndrome epidemic.

M H Gail1, R Brookmeyer.   

Abstract

Three methods for projecting the short-term course of the acquired immunodeficiency syndrome (AIDS) epidemic are discussed: (a) empirical extrapolation, (b) the method of "back calculation," and (c) projections based on compartmental models. Extrapolation, which requires only data on AIDS incidence, is based on an assumed functional form and on the supposition that previous trends will continue. The method of back calculation incorporates both information on previous AIDS incidence and knowledge about the incubation period distribution. These calculations provide some evidence of how many infections occurred during previous time intervals. Although this information is not precise, particularly for the recent past, it is sufficient to produce stable short-term projections. Compartmental models can be used to project future prevalence of infection as well as future AIDS incidence. However, such projections are very dependent on assumptions about initial numbers of individuals infected, rates of transmission, changes in high-risk behaviors over time, and assumptions about transmission among subpopulations with differing transmission rates and initial prevalence of infection. Thus, compartmental models offer insights into the trends in an epidemic but do not currently provide a practical tool for obtaining quantitative projections. We present projections for various risk groups based on the method of back calculation and discuss the use of additional epidemiologic data to obtain accurate projections a decade in advance.

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Year:  1988        PMID: 3294425     DOI: 10.1093/jnci/80.12.900

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  7 in total

1.  Projection of AIDS incidence in women in New York State.

Authors:  L Lessner
Journal:  Am J Public Health       Date:  1991-05       Impact factor: 9.308

2.  Estimating the human immunodeficiency virus infection curve of intravenous drug users in Lombardia, Italy.

Authors:  A Salvaggio
Journal:  Eur J Epidemiol       Date:  1995-04       Impact factor: 8.082

Review 3.  A review of back-calculation techniques and their potential to inform mitigation strategies with application to non-transmissible acute infectious diseases.

Authors:  Joseph R Egan; Ian M Hall
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

4.  Adjusting AIDS incidence for non-stationary reporting delays: a necessity for country comparisons.

Authors:  M D Gebhardt; B E Neuenschwander; M Zwahlen
Journal:  Eur J Epidemiol       Date:  1998-09       Impact factor: 8.082

5.  Statistical problems in epidemiologic studies of the natural history of disease.

Authors:  R Brookmeyer
Journal:  Environ Health Perspect       Date:  1990-07       Impact factor: 9.031

6.  Lessons from previous predictions of HIV/AIDS in the United States and Japan: epidemiologic models and policy formulation.

Authors:  Hiroshi Nishiura
Journal:  Epidemiol Perspect Innov       Date:  2007-06-13

7.  Estimating the incidence and diagnosed proportion of HIV infections in Japan: a statistical modeling study.

Authors:  Hiroshi Nishiura
Journal:  PeerJ       Date:  2019-01-15       Impact factor: 2.984

  7 in total

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