Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases
UNSPECIFIED. (2002) Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 99 (20). pp. 13330-13335. ISSN 0027-8424Full text not available from this repository.
Official URL: http://dx.doi.org/10.1073/pnas.202244299
A wide range of communicable human diseases can be considered as spreading through a network of possible transmission routes. The implied network structure is vital in determining disease dynamics, especially when the average number of connections per individual is small as is the case for many sexually transmitted diseases (STDs). Here we develop an intuitive mathematical framework to deal with the heterogeneities implicit within contact networks and those that arise because of the infection process. These models are compared with full stochastic simulations and show excellent agreement across a wide range of parameters. We show how such models can be used to estimate parameters of epidemiological importance, and how they can be extended to examine the effectiveness of various control strategies, in particular screening programs and contact tracing.
|Item Type:||Journal Article|
|Journal or Publication Title:||PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA|
|Publisher:||NATL ACAD SCIENCES|
|Date:||1 October 2002|
|Number of Pages:||6|
|Page Range:||pp. 13330-13335|
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