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Modelling : Understanding pandemics and how to control them

Marion, Glenn (author)
Hadley, Liza (author)
Isham, Valerie (author)
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Mollison, Denis (author)
Panovska-Griffiths, Jasmina (author)
Pellis, Lorenzo (author)
Scalia Tomba, Gianpaolo (author)
Scarabel, Francesca (author)
Swallow, Ben (author)
Trapman, Pieter (author)
Stockholms universitet,Matematiska institutionen
Villela, Daniel (author)
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 (creator_code:org_t)
Elsevier BV, 2022
2022
English.
In: Epidemics. - : Elsevier BV. - 1755-4365 .- 1878-0067. ; 39
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)
art (subject category)

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