Five challenges for spatial epidemic models
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 constr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2015-03-01
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| Series: | Epidemics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436514000310 |
| _version_ | 1818756545469480960 |
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| author | Steven Riley Ken Eames Valerie Isham Denis Mollison Pieter Trapman |
| author_facet | Steven Riley Ken Eames Valerie Isham Denis Mollison Pieter Trapman |
| author_sort | Steven Riley |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T05:56:45Z |
| format | Article |
| id | doaj.art-e9835a5b1a764c4f9d2078396c5072dd |
| institution | Directory Open Access Journal |
| issn | 1755-4365 1878-0067 |
| language | English |
| last_indexed | 2024-12-18T05:56:45Z |
| publishDate | 2015-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Epidemics |
| spelling | doaj.art-e9835a5b1a764c4f9d2078396c5072dd2022-12-21T21:18:47ZengElsevierEpidemics1755-43651878-00672015-03-0110C687110.1016/j.epidem.2014.07.001Five challenges for spatial epidemic modelsSteven Riley0Ken Eames1Valerie Isham2Denis Mollison3Pieter Trapman4MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UKCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UKDepartment of Statistical Science, University College London, London, UKDepartment of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UKDepartment of Mathematics, Stockholm University, Stockholm 106 91, SwedenInfectious 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.http://www.sciencedirect.com/science/article/pii/S1755436514000310NetworksMetapopulationsSpatial modelsGravity modelPercolation theory |
| spellingShingle | Steven Riley Ken Eames Valerie Isham Denis Mollison Pieter Trapman Five challenges for spatial epidemic models Epidemics Networks Metapopulations Spatial models Gravity model Percolation theory |
| title | Five challenges for spatial epidemic models |
| title_full | Five challenges for spatial epidemic models |
| title_fullStr | Five challenges for spatial epidemic models |
| title_full_unstemmed | Five challenges for spatial epidemic models |
| title_short | Five challenges for spatial epidemic models |
| title_sort | five challenges for spatial epidemic models |
| topic | Networks Metapopulations Spatial models Gravity model Percolation theory |
| url | http://www.sciencedirect.com/science/article/pii/S1755436514000310 |
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