| The impact of network clustering and assortativity on epidemic behaviour. | |
| | |
MedLine Citation:
|
PMID: 19948179 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Epidemic models have successfully included many aspects of the complex contact structure apparent in real-world populations. However, it is difficult to accommodate variations in the number of contacts, clustering coefficient and assortativity. Investigations of the relationship between these properties and epidemic behaviour have led to inconsistent conclusions and have not accounted for their interrelationship. In this study, simulation is used to estimate the impact of social network structure on the probability of an SIR (susceptible-infective-removed) epidemic occurring and, if it does, the final size. Increases in assortativity and clustering coefficient are associated with smaller epidemics and the impact is cumulative. Derived values of the basic reproduction ratio (R(0)) over networks with the highest property values are more than 20% lower than those derived from simulations with zero values of these network properties. |
| | |
Authors:
|
Jennifer Badham; Rob Stocker |
Related Documents
:
|
3440669 - An analysis of pulmonary tuberculosis data in taiwan and korea. 635979 - Macdonald's model and the transmission of bilharzia. 8145029 - On some formulas in a partnership model from the perspective of a semi-markov process. 12153709 - Advantages of larval control for african malaria vectors: low mobility and behavioural ... 9656649 - Existence and uniqueness of endemic states for the age-structured s-i-r epidemic model. 21982269 - The acceptance of in silico models for reach: requirements, barriers, and perspectives. 11797859 - Product liability forecasting for asbestos-related personal injury claims: a multidisci... 17530989 - Comparison of four different methods to measure power output during the hang power clea... 7785679 - Control sampling strategies for case-crossover studies: an assessment of relative effic... |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-12-04 |
Journal Detail:
|
Title: Theoretical population biology Volume: 77 ISSN: 1096-0325 ISO Abbreviation: Theor Popul Biol Publication Date: 2010 Feb |
Date Detail:
|
Created Date: 2010-01-29 Completed Date: 2010-04-22 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 0256422 Medline TA: Theor Popul Biol Country: United States |
Other Details:
|
Languages: eng Pagination: 71-5 Citation Subset: IM |
Copyright Information:
|
Copyright 2009 Elsevier Inc. All rights reserved. |
Affiliation:
|
School of Engineering and Information Technology, Australian Defence Force Academy, Northcott Drive, Canberra 2600, Australia. research@criticalconnections.com.au |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms Australia Basic Reproduction Number / statistics & numerical data* Cluster Analysis* Computer Simulation Disease Outbreaks / statistics & numerical data* Disease Transmission, Infectious / statistics & numerical data Humans Infection Control / methods, statistics & numerical data Influenza, Human / epidemiology, prevention & control Markov Chains Models, Biological Models, Statistical Social Support* World Health |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Effects of bile acids on rat hepatic microsomal type 1 11beta-hydroxysteroid dehydrogenase.
Next Document: Aging of different avian cultured cells: lack of ROS-induced damage and quality control mechanisms.