Riley, S;
Eames, K;
Isham, V;
Mollison, D;
Trapman, P;
(2015)
Five challenges for spatial epidemic models.
Epidemics
, 10
pp. 68-71.
10.1016/j.epidem.2014.07.001.
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Abstract
Infectious disease incidence data are increasingly available at the level of the individual and include high-resolution spatial components. Therefore, we are now better able to challenge models that explicitly represent space. Here, we consider five topics within spatial disease dynamics: the construction of network models; characterising threshold behaviour; modelling long-distance interactions; the appropriate scale for interventions; and the representation of population heterogeneity.
| Type: | Article |
|---|---|
| Title: | Five challenges for spatial epidemic models |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.epidem.2014.07.001 |
| Publisher version: | http://dx.doi.org/10.1016/j.epidem.2014.07.001 |
| Language: | English |
| Additional information: | © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Keywords: | Networks; Metapopulations; Spatial models; Gravity model; Percolation theory |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1457124 |
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