Ball, Frank, Britton, Tom, House, Thomas A., Isham, Valerie, Mollison, Denis, Pellis, Lorenzo and Tomba, Gianpaolo Scalia (2015) Seven challenges for metapopulation models of epidemics, including households models. Epidemics, Volume 10 . pp. 63-67. doi:10.1016/j.epidem.2014.08.001

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Abstract

This paper considers metapopulation models in the general sense, i.e. where the population is partitioned into sub-populations (groups, patches,...), irrespective of the biological interpretation they have, e.g. spatially segregated large sub-populations, small households or hosts themselves modelled as populations of pathogens. This framework has traditionally provided an attractive approach to incorporating more realistic contact structure into epidemic models, since it often preserves analytic tractability (in stochastic as well as deterministic models) but also captures the most salient structural inhomogeneity in contact patterns in many applied contexts. Despite the progress that has been made in both the theory and application of such metapopulation models, we present here several major challenges that remain for future work, focusing on models that, in contrast to agent-based ones, are amenable to mathematical analysis. The challenges range from clarifying the usefulness of systems of weakly-coupled large sub-populations in modelling the spread of specific diseases to developing a theory for endemic models with household structure. They include also developing inferential methods for data on the emerging phase of epidemics, extending metapopulation models to more complex forms of human social structure, developing metapopulation models to reflect spatial population structure, developing computationally efficient methods for calculating key epidemiological model quantities, and integrating within- and between-host dynamics in models.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH):	Epidemics -- Mathematical models
Journal or Publication Title:	Epidemics
Publisher:	Elsevier BV
ISSN:	1755-4365
Official Date:	March 2015
Dates:	Date Event March 2015 Published 16 August 2014 Available 8 August 2014 Accepted 14 February 2014 Submitted
Date of first compliant deposit:	27 December 2015
Volume:	Volume 10
Page Range:	pp. 63-67
DOI:	10.1016/j.epidem.2014.08.001
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Funder:	Isaac Newton Institute for Mathematical Sciences, Engineering and Physical Sciences Research Council (EPSRC)
Grant number:	EP/J002437/1 (EPSRC)

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