The Library
Epidemic prediction and control in clustered populations
Tools
House, Thomas A. and Keeling, Matthew James (2011) Epidemic prediction and control in clustered populations. Journal of Theoretical Biology, Vol.272 (No.1). pp. 1-7. doi:10.1016/j.jtbi.2010.12.009 ISSN 0022-5193.
|
PDF
WRAP_House_1012.1974v1.pdf - Accepted Version - Requires a PDF viewer. Download (454Kb) |
Official URL: http://dx.doi.org/10.1016/j.jtbi.2010.12.009
Abstract
There has been much recent interest in modelling epidemics on networks, particularly in the presence of substantial clustering. Here, we develop pairwise methods to
answer questions that are often addressed using epidemic models, in particular: on the basis of potential observations early in an outbreak, what can be predicted about the epidemic outcomes and the levels of intervention necessary to control the epidemic? We find that while some results are independent of the level of clustering (early growth predicts the level of ‘leaky’ vaccine needed for control and peak time, while the basic reproductive ratio predicts the random vaccination threshold) the relationship between other quantities is very sensitive to clustering.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics R Medicine > RA Public aspects of medicine |
||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||
Library of Congress Subject Headings (LCSH): | Epidemics -- Mathematical models, Cluster analysis | ||||
Journal or Publication Title: | Journal of Theoretical Biology | ||||
Publisher: | Elsevier B.V. | ||||
ISSN: | 0022-5193 | ||||
Official Date: | 7 March 2011 | ||||
Dates: |
|
||||
Volume: | Vol.272 | ||||
Number: | No.1 | ||||
Page Range: | pp. 1-7 | ||||
DOI: | 10.1016/j.jtbi.2010.12.009 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 17 December 2015 | ||||
Date of first compliant Open Access: | 17 December 2015 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Medical Research Council (Great Britain) (MRC) | ||||
Grant number: | G0701256 (MRC), EP/H016139/1 (EPSRC) |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year