Skip Navigation


American Journal of Epidemiology Advance Access originally published online on September 12, 2006
American Journal of Epidemiology 2006 164(10):945-946; doi:10.1093/aje/kwj318
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
164/10/945    most recent
kwj318v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in Am. J. Epidemiol.
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Halloran, M. E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Halloran, M. E.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

Invited Commentary

Invited Commentary: Challenges of using Contact Data to Understand Acute Respiratory Disease Transmission

M. Elizabeth Halloran

From the Fred Hutchinson Cancer Research Center and the University of Washington, Seattle, WA

Correspondence to Dr. M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, MS LE-400, Seattle, WA 98109 (e-mail: betz@scharp.org).

Received for publication April 7, 2006. Accepted for publication April 21, 2006.

The first 10% of the full text of this article appears below.

Wallinga et al. (1Go) have done an excellent job of demonstrating how simple data can be used to improve our estimation of transmission parameters for infectious disease models. Their analysis involves several steps illustrating a unifying framework, from collecting data on social contacts to model-fitting with relevant infectious disease data. First, there is estimation of the contact matrix from age-specific data on conversations. Second, assumptions are made to estimate the age-specific transmission parameters of a particular transmission model. Third, comparison is made with infectious disease outcome data for goodness of fit and model . . . [Full Text of this Article]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?

Related articles in Am. J. Epidemiol.:

Using Data on Social Contacts to Estimate Age-specific Transmission Parameters for Respiratory-spread Infectious Agents
Jacco Wallinga, Peter Teunis, and Mirjam Kretzschmar
Am. J. Epidemiol. 2006 164: 936-944. [Abstract] [FREE Full Text]