Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-2xdlg Total loading time: 0 Render date: 2024-06-28T08:13:40.907Z Has data issue: false hasContentIssue false

Invited Discussion

Published online by Cambridge University Press:  04 August 2010

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

Summary

We have had three very interesting and very different papers this morning. So to be fair, I thought that I would raise for discussion three issues that are problems for both the data collectors and the transmission modellers.

The first problem is how to classify individuals into risk groups on the basis of their reported sexual behaviour. An individual's sexual behaviour is not a stable, easily measurable characteristic like gender or age. Furthermore, it cannot be viewed in isolation, because it involves the formation of partnerships and consequently is affected by the behaviour of others in the population. It may be extremely difficult to decide how to characterize an individual on the basis of reported risk behaviour at any one time; for example, should this be regarded as a constant or as a random variable (so that the reported behaviour at any moment is an observation on an underlying stochastic process)? Deciding upon a suitable classification scheme may require an analysis of the variability of the risk behaviour of each individual over a long period of time. It may be more appropriate to characterize this by averaging over a period of several years, rather than a particular, short time interval. It has been shown that the behaviour of individuals with high levels of sexual activity tends to be highly variable over time. Hence if individuals are characterised by their behaviour in a short time interval, then low activity individuals will generally be correctly classified (because of their low variability), but high-activity individuals may be misclassified.

Type
Chapter
Information
Models for Infectious Human Diseases
Their Structure and Relation to Data
, pp. 263 - 264
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
×