Edge-based compartmental modelling for infectious disease spread
Identifieur interne : 002179 ( Main/Exploration ); précédent : 002178; suivant : 002180Edge-based compartmental modelling for infectious disease spread
Auteurs : Joel C. Miller [États-Unis] ; Anja C. Slim [États-Unis] ; Erik M. Volz [États-Unis]Source :
- Journal of the Royal Society Interface [ 1742-5689 ] ; 2012.
Abstract
The primary tool for predicting infectious disease spread and intervention effectiveness is the mass action susceptible–infected–recovered model of Kermack & McKendrick. Its usefulness derives largely from its conceptual and mathematical simplicity; however, it incorrectly assumes that all individuals have the same contact rate and partnerships are fleeting. In this study, we introduce edge-based compartmental modelling, a technique eliminating these assumptions. We derive simple ordinary differential equation models capturing social heterogeneity (heterogeneous contact rates) while explicitly considering the impact of partnership duration. We introduce a graphical interpretation allowing for easy derivation and communication of the model and focus on applying the technique under different assumptions about how contact rates are distributed and how long partnerships last.
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DOI: 10.1098/rsif.2011.0403
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Interface</title><idno type="ISSN">1742-5689</idno><idno type="eISSN">1742-5662</idno><imprint><publisher>The Royal Society</publisher><date type="published">2012</date><date type="e-published">2011</date><biblScope unit="vol">9</biblScope><biblScope unit="issue">70</biblScope><biblScope unit="page" from="890">890</biblScope><biblScope unit="page" to="906">906</biblScope></imprint><idno type="ISSN">1742-5689</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1742-5689</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract">The primary tool for predicting infectious disease spread and intervention effectiveness is the mass action susceptible–infected–recovered model of Kermack & McKendrick. Its usefulness derives largely from its conceptual and mathematical simplicity; however, it incorrectly assumes that all individuals have the same contact rate and partnerships are fleeting. In this study, we introduce edge-based compartmental modelling, a technique eliminating these assumptions. We derive simple ordinary differential equation models capturing social heterogeneity (heterogeneous contact rates) while explicitly considering the impact of partnership duration. We introduce a graphical interpretation allowing for easy derivation and communication of the model and focus on applying the technique under different assumptions about how contact rates are distributed and how long partnerships last.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Maryland</li><li>Massachusetts</li><li>Michigan</li></region></list><tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Miller, Joel C" sort="Miller, Joel C" uniqKey="Miller J" first="Joel C." last="Miller">Joel C. Miller</name></region><name sortKey="Miller, Joel C" sort="Miller, Joel C" uniqKey="Miller J" first="Joel C." last="Miller">Joel C. 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