Literature DB >> 2883405

Is it possible to predict the minimum size of the acquired immunodeficiency syndrome (AIDS) epidemic in the United Kingdom?

R M Anderson, G F Medley, S P Blythe, A M Johnson.   

Abstract

A mathematical model of the dynamics of transmission of human immunodeficiency virus within the male homosexual population in the United Kingdom demonstrates that even the minimum size of the acquired immunodeficiency syndrome (AIDS) epidemic in the United Kingdom (based upon the assumption that all transmission ceased at the end of 1986) is difficult to predict. Model predictions are particularly sensitive to assumptions about the distributed incubation period of the disease, differences in frequency and patterns of sexual activity, and the proportion of infected people in whom AIDS later develops. More accurate predictions will depend on the collection of data on the incubation period of the disease, the infectiousness of infected persons, and on the numbers of new sexual partners of each sex per person and the duration of each partnership.

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Year:  1987        PMID: 2883405     DOI: 10.1016/s0140-6736(87)90493-4

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  5 in total

Review 1.  Mathematical models for the study of HIV spread and control amongst men who have sex with men.

Authors:  Narat Punyacharoensin; William John Edmunds; Daniela De Angelis; Richard Guy White
Journal:  Eur J Epidemiol       Date:  2011-09-20       Impact factor: 8.082

2.  AIDS: predicting cases nationally and locally.

Authors:  B R Tennison; S Hagard
Journal:  BMJ       Date:  1988-09-17

3.  Estimation and projection of adult AIDS cases: a simple epidemiological model.

Authors:  J Chin; S K Lwanga
Journal:  Bull World Health Organ       Date:  1991       Impact factor: 9.408

4.  Modelling that shaped the early COVID-19 pandemic response in the UK.

Authors:  Ellen Brooks-Pollock; Leon Danon; Thibaut Jombart; Lorenzo Pellis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-31       Impact factor: 6.671

5.  Appropriate models for the management of infectious diseases.

Authors:  Helen J Wearing; Pejman Rohani; Matt J Keeling
Journal:  PLoS Med       Date:  2005-07-26       Impact factor: 11.069

  5 in total

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