Nine challenges for deterministic epidemic models

Deterministic models have a long history of being applied to the study of infectious disease epidemiology. We highlight and discuss nine challenges in this area. The first two concern the endemic equilibrium and its stability. We indicate the need for models that describe multi-strain infections, i...

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Main Authors: Mick Roberts, Viggo Andreasen, Alun Lloyd, Lorenzo Pellis
Format: Article
Language:English
Published: Elsevier 2015-03-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436514000553
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spelling doaj-e2be140465b14820b591a72122adf7fa2020-11-24T23:26:44ZengElsevierEpidemics1755-43651878-00672015-03-0110C495310.1016/j.epidem.2014.09.006Nine challenges for deterministic epidemic modelsMick Roberts0Viggo Andreasen1Alun Lloyd2Lorenzo Pellis3Infectious Disease Research Centre, Institute of Natural and Mathematical Sciences, and New Zealand Institute for Advanced Study, Massey University, Private Bag 102 904, North Shore Mail Centre, 1311 Auckland, New ZealandDepartment of Science, Roskilde University, 4000 Roskilde, DenmarkDepartment of Mathematics and Biomathematics Graduate Program, North Carolina State University, Raleigh, NC 27695, USAWarwick Infectious Disease Epidemiology Research Centre (WIDER) and Warwick Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK Deterministic models have a long history of being applied to the study of infectious disease epidemiology. We highlight and discuss nine challenges in this area. The first two concern the endemic equilibrium and its stability. We indicate the need for models that describe multi-strain infections, infections with time-varying infectivity, and those where superinfection is possible. We then consider the need for advances in spatial epidemic models, and draw attention to the lack of models that explore the relationship between communicable and non-communicable diseases. The final two challenges concern the uses and limitations of deterministic models as approximations to stochastic systems. http://www.sciencedirect.com/science/article/pii/S1755436514000553Deterministic modelsEndemic equilibriumMulti-strain systemsSpatial modelsNon-communicable diseases
collection DOAJ
language English
format Article
sources DOAJ
author Mick Roberts
Viggo Andreasen
Alun Lloyd
Lorenzo Pellis
spellingShingle Mick Roberts
Viggo Andreasen
Alun Lloyd
Lorenzo Pellis
Nine challenges for deterministic epidemic models
Epidemics
Deterministic models
Endemic equilibrium
Multi-strain systems
Spatial models
Non-communicable diseases
author_facet Mick Roberts
Viggo Andreasen
Alun Lloyd
Lorenzo Pellis
author_sort Mick Roberts
title Nine challenges for deterministic epidemic models
title_short Nine challenges for deterministic epidemic models
title_full Nine challenges for deterministic epidemic models
title_fullStr Nine challenges for deterministic epidemic models
title_full_unstemmed Nine challenges for deterministic epidemic models
title_sort nine challenges for deterministic epidemic models
publisher Elsevier
series Epidemics
issn 1755-4365
1878-0067
publishDate 2015-03-01
description Deterministic models have a long history of being applied to the study of infectious disease epidemiology. We highlight and discuss nine challenges in this area. The first two concern the endemic equilibrium and its stability. We indicate the need for models that describe multi-strain infections, infections with time-varying infectivity, and those where superinfection is possible. We then consider the need for advances in spatial epidemic models, and draw attention to the lack of models that explore the relationship between communicable and non-communicable diseases. The final two challenges concern the uses and limitations of deterministic models as approximations to stochastic systems.
topic Deterministic models
Endemic equilibrium
Multi-strain systems
Spatial models
Non-communicable diseases
url http://www.sciencedirect.com/science/article/pii/S1755436514000553
work_keys_str_mv AT mickroberts ninechallengesfordeterministicepidemicmodels
AT viggoandreasen ninechallengesfordeterministicepidemicmodels
AT alunlloyd ninechallengesfordeterministicepidemicmodels
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