Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-jwnkl Total loading time: 0 Render date: 2024-07-08T15:28:19.546Z Has data issue: false hasContentIssue false

Per-contact probabilities of heterosexual transmission of HIV, estimated from partner study data

Published online by Cambridge University Press:  04 August 2010

Valerie Isham
Affiliation:
University College London
Graham Medley
Affiliation:
University of Warwick
Get access

Summary

Introduction

The probability with which the human immunodeficiency virus (HIV) is transmitted from an infected to a susceptible individual during the course of one or more unprotected sexual contacts plays an important role in models of the AIDS epidemic. Several studies found no association between the number of contacts with a given partner and transmission, and some modellers have therefore preferred to use transmission rates per partnership rather than per contact. However, an analysis of data from the California Partners' Study (Padian et al. 1990) indicated the presence of an association, although not consistent with a constant probability of transmission per contact. Similar data from a European study have been analyzed to investigate further the relationship between the number of unprotected sexual contacts and the probability of transmission of HIV.

Methods

Data on 563 HIV-infected subjects (index cases) and their stable heterosexual partners were collected at study entry (between March 1987 and March 1991) and at 6-monthly intervals thereafter (European Study Group on Heterosexual Transmission of HIV 1992). For each couple, the number of unprotected sexual contacts was estimated using the reported frequency of contacts and of condom use, both before and after any reported change in behaviour, together with an estimate of the length of the period during which the partner was at risk. This latter was determined as the duration of the relationship prior to the date of HIV test of the partner and from either the date of infection of the index case, when known (rarely the case), or January 1982 (or one of several alternative dates).

Type
Chapter
Information
Models for Infectious Human Diseases
Their Structure and Relation to Data
, pp. 271 - 273
Publisher: Cambridge University Press
Print publication year: 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×