Literature DB >> 7846413

Modelling the female-to-male per-act HIV transmission probability in an emerging epidemic in Asia.

G A Satten1, T D Mastro, I M Longini.   

Abstract

The per-sexual-act probability of transmission of the human immunodeficiency virus type 1 (HIV) from an infected person to a susceptible sex partner can be determined from a simple model if the number of contacts each study participant has with infected partners is known. The unusual epidemiologic situation in the emerging HIV epidemic in Thailand allowed this quantity to be estimated from a cross-sectional study of young men conscripted into the Thai military in 1991. Although the simple model does not fit the data, an errors-in-variables approach provides a model with adequate fit. Other sources of lack of fit, including heterogeneity of the transmission probability, are discussed. With adjustment for measurement error, the per-act probability is estimated to be 0.056, an order of magnitude higher than similar estimates in North America. Because data indicate that recently infected persons may be more infectious, and because extensive HIV transmission in Thailand began in 1988, this difference may be due, in part, to a higher proportion of recently infected individuals in the emerging Thai epidemic from 1988 to 1991.

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Year:  1994        PMID: 7846413     DOI: 10.1002/sim.4780131918

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


  6 in total

1.  Estimating the effectiveness in HIV prevention trials by incorporating the exposure process: application to HPTN 035 data.

Authors:  Jingyang Zhang; Elizabeth R Brown
Journal:  Biometrics       Date:  2014-05-20       Impact factor: 2.571

Review 2.  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

3.  Quantitating the multiplicity of infection with human immunodeficiency virus type 1 subtype C reveals a non-poisson distribution of transmitted variants.

Authors:  M-R Abrahams; J A Anderson; E E Giorgi; C Seoighe; K Mlisana; L-H Ping; G S Athreya; F K Treurnicht; B F Keele; N Wood; J F Salazar-Gonzalez; T Bhattacharya; H Chu; I Hoffman; S Galvin; C Mapanje; P Kazembe; R Thebus; S Fiscus; W Hide; M S Cohen; S Abdool Karim; B F Haynes; G M Shaw; B H Hahn; B T Korber; R Swanstrom; C Williamson
Journal:  J Virol       Date:  2009-02-04       Impact factor: 5.103

4.  Modeling health impact of global health programs implemented by Population Services International.

Authors:  Hongmei Yang; Susan Duvall; Amy Ratcliffe; David Jeffries; Warren Stevens
Journal:  BMC Public Health       Date:  2013-06-17       Impact factor: 3.295

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

6.  Joint modeling of time-varying HIV exposure and infection for estimation of per-act efficacy in HIV prevention trials.

Authors:  Elizabeth R Brown; Clara P Dominguez Islas; Jingyang Zhang
Journal:  Stat Commun Infect Dis       Date:  2020-09-24
  6 in total

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