Five challenges for spatial epidemic models

Steven Riley; Ken Eames; Valerie Isham; Denis Mollison; Pieter Trapman

doi:10.1016/j.epidem.2014.07.001

Five challenges for spatial epidemic models

Steven Riley^*, Ken Eames, Valerie Isham, Denis Mollison, Pieter Trapman

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Contribution to journal › Article › peer-review

121 Citations (Scopus)

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.

Original language	English
Pages (from-to)	68–71
Journal	Epidemics
Volume	10
Early online date	31 Jul 2014
DOIs	https://doi.org/10.1016/j.epidem.2014.07.001
Publication status	Published - Mar 2015

Keywords

Gravity model
Metapopulations
Networks
Percolation theory No items selected
Spatial models

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Infectious Diseases
Epidemiology
Virology
Parasitology
Microbiology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.epidem.2014.07.001

Cite this

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AU - Eames, Ken

AU - Isham, Valerie

AU - Mollison, Denis

AU - Trapman, Pieter

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AB - 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.

KW - Gravity model

KW - Metapopulations

KW - Networks

KW - Percolation theory No items selected

KW - Spatial models

U2 - 10.1016/j.epidem.2014.07.001

DO - 10.1016/j.epidem.2014.07.001

M3 - Article

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SN - 1755-4365

VL - 10

SP - 68

EP - 71

JO - Epidemics

JF - Epidemics

ER -

Five challenges for spatial epidemic models

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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