Nine challenges in modelling the emergence of novel pathogens

Studying the emergence of novel infectious agents involves many processes spanning host species, spatial scales, and scientific disciplines. Mathematical models play an essential role in combining insights from these investigations and drawing robust inferences from field and experimental data. We d...

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Detalles Bibliográficos
Autores principales: Lloyd-Smith, James O., Funk, Sebastian, McLean, Angela R., Riley, Steven, Wood, James L.N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715032/
https://www.ncbi.nlm.nih.gov/pubmed/25843380
http://dx.doi.org/10.1016/j.epidem.2014.09.002
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author Lloyd-Smith, James O.
Funk, Sebastian
McLean, Angela R.
Riley, Steven
Wood, James L.N.
author_facet Lloyd-Smith, James O.
Funk, Sebastian
McLean, Angela R.
Riley, Steven
Wood, James L.N.
author_sort Lloyd-Smith, James O.
collection PubMed
description Studying the emergence of novel infectious agents involves many processes spanning host species, spatial scales, and scientific disciplines. Mathematical models play an essential role in combining insights from these investigations and drawing robust inferences from field and experimental data. We describe nine challenges in modelling the emergence of novel pathogens, emphasizing the interface between models and data.
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spelling pubmed-47150322016-02-12 Nine challenges in modelling the emergence of novel pathogens Lloyd-Smith, James O. Funk, Sebastian McLean, Angela R. Riley, Steven Wood, James L.N. Epidemics Article Studying the emergence of novel infectious agents involves many processes spanning host species, spatial scales, and scientific disciplines. Mathematical models play an essential role in combining insights from these investigations and drawing robust inferences from field and experimental data. We describe nine challenges in modelling the emergence of novel pathogens, emphasizing the interface between models and data. The Authors. Published by Elsevier B.V. 2015-03 2014-09-19 /pmc/articles/PMC4715032/ /pubmed/25843380 http://dx.doi.org/10.1016/j.epidem.2014.09.002 Text en © 2014 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Lloyd-Smith, James O.
Funk, Sebastian
McLean, Angela R.
Riley, Steven
Wood, James L.N.
Nine challenges in modelling the emergence of novel pathogens
title Nine challenges in modelling the emergence of novel pathogens
title_full Nine challenges in modelling the emergence of novel pathogens
title_fullStr Nine challenges in modelling the emergence of novel pathogens
title_full_unstemmed Nine challenges in modelling the emergence of novel pathogens
title_short Nine challenges in modelling the emergence of novel pathogens
title_sort nine challenges in modelling the emergence of novel pathogens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715032/
https://www.ncbi.nlm.nih.gov/pubmed/25843380
http://dx.doi.org/10.1016/j.epidem.2014.09.002
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