Modelling: Understanding pandemics and how to control them

Glenn Marion; Liza Hadley; Valerie Isham; Denis Mollison; Jasmina Panovska-Griffiths; Lorenzo Pellis; Gianpaolo Scalia Tomba; Francesca Scarabel; Ben Swallow; Pieter Trapman; Daniel Villela

doi:10.1016/j.epidem.2022.100588

Modelling: Understanding pandemics and how to control them

Glenn Marion^*
, Liza Hadley
, Valerie Isham
, Denis Mollison
, Jasmina Panovska-Griffiths
, Lorenzo Pellis
, Gianpaolo Scalia Tomba
, Francesca Scarabel
, Ben Swallow
, Pieter Trapman
, Daniel Villela

^*Corresponding author for this work

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

18 Citations (Scopus)

Abstract

New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.

Original language	English
Article number	100588
Journal	Epidemics
Volume	39
DOIs	https://doi.org/10.1016/j.epidem.2022.100588
Publication status	Published - Jun 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 The Authors

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Behaviour and multi-scale transmission dynamics
Infectious disease models
Pathogen dynamics
Value of information studies
Within, host dynamics

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10.1016/j.epidem.2022.100588

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title = "Modelling: Understanding pandemics and how to control them",

abstract = "New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.",

keywords = "Behaviour and multi-scale transmission dynamics, Infectious disease models, Pathogen dynamics, Value of information studies, Within, host dynamics",

author = "Glenn Marion and Liza Hadley and Valerie Isham and Denis Mollison and Jasmina Panovska-Griffiths and Lorenzo Pellis and Tomba, \{Gianpaolo Scalia\} and Francesca Scarabel and Ben Swallow and Pieter Trapman and Daniel Villela",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

month = jun,

doi = "10.1016/j.epidem.2022.100588",

language = "English",

volume = "39",

journal = "Epidemics",

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TY - JOUR

T1 - Modelling

T2 - Understanding pandemics and how to control them

AU - Marion, Glenn

AU - Hadley, Liza

AU - Isham, Valerie

AU - Mollison, Denis

AU - Panovska-Griffiths, Jasmina

AU - Pellis, Lorenzo

AU - Tomba, Gianpaolo Scalia

AU - Scarabel, Francesca

AU - Swallow, Ben

AU - Trapman, Pieter

AU - Villela, Daniel

PY - 2022/6

Y1 - 2022/6

N2 - New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.

AB - New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.

KW - Behaviour and multi-scale transmission dynamics

KW - Infectious disease models

KW - Pathogen dynamics

KW - Value of information studies

KW - Within, host dynamics

UR - https://www.scopus.com/pages/publications/85131903235

U2 - 10.1016/j.epidem.2022.100588

DO - 10.1016/j.epidem.2022.100588

M3 - Article

C2 - 35679714

AN - SCOPUS:85131903235

SN - 1755-4365

VL - 39

JO - Epidemics

JF - Epidemics

M1 - 100588

ER -

Modelling: Understanding pandemics and how to control them

Abstract

Bibliographical note

UN SDGs

Keywords

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