Literature DB >> 1669741

Estimating the infectivity of HIV from partner studies.

M Y Kim1, S W Lagakos.   

Abstract

The main sources of data for estimating infectivity of the human immunodeficiency virus (HIV) come from studies of the susceptible partners of individuals known to be infected with HIV. Estimation of infectivity from these studies is complicated by limitations imposed by the sampling designs. This paper reviews three sampling schemes that have been used in partner studies and, for each, proposes methods for estimating various theoretic models for infectivity. The methods, as well as procedures for checking goodness-of-fit, are illustrated using data from a study by Peterman and colleagues.

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Year:  1990        PMID: 1669741     DOI: 10.1016/1047-2797(90)90003-b

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  5 in total

1.  The coreceptor mutation CCR5Delta32 influences the dynamics of HIV epidemics and is selected for by HIV.

Authors:  A D Sullivan; J Wigginton; D Kirschner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

Review 2.  Estimating per-act HIV transmission risk: a systematic review.

Authors:  Pragna Patel; Craig B Borkowf; John T Brooks; Arielle Lasry; Amy Lansky; Jonathan Mermin
Journal:  AIDS       Date:  2014-06-19       Impact factor: 4.177

Review 3.  Rethinking the heterosexual infectivity of HIV-1: a systematic review and meta-analysis.

Authors:  Kimberly A Powers; Charles Poole; Audrey E Pettifor; Myron S Cohen
Journal:  Lancet Infect Dis       Date:  2008-08-04       Impact factor: 25.071

4.  Comparison of transmission rates of HIV-1 and HIV-2 in a cohort of prostitutes in Senegal.

Authors:  C Donnelly; W Leisenring; P Kanki; T Awerbuch; S Sandberg
Journal:  Bull Math Biol       Date:  1993       Impact factor: 1.758

Review 5.  Heterosexual risk of HIV-1 infection per sexual act: systematic review and meta-analysis of observational studies.

Authors:  Marie-Claude Boily; Rebecca F Baggaley; Lei Wang; Benoit Masse; Richard G White; Richard J Hayes; Michel Alary
Journal:  Lancet Infect Dis       Date:  2009-02       Impact factor: 25.071

  5 in total

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