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The coordination dilemma for epidemiological modelers

Epidemiological models directly shape policy responses to public health crises. We argue that they also play a less obvious but important role in solving certain coordination problems and social dilemmas that arise during pandemics. This role is both ethically and epistemically valuable. However, it...

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Detalles Bibliográficos
Autores principales: Ojea Quintana, Ignacio, Rosenstock, Sarita, Klein, Colin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622111/
https://www.ncbi.nlm.nih.gov/pubmed/34848901
http://dx.doi.org/10.1007/s10539-021-09828-9
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author Ojea Quintana, Ignacio
Rosenstock, Sarita
Klein, Colin
author_facet Ojea Quintana, Ignacio
Rosenstock, Sarita
Klein, Colin
author_sort Ojea Quintana, Ignacio
collection PubMed
description Epidemiological models directly shape policy responses to public health crises. We argue that they also play a less obvious but important role in solving certain coordination problems and social dilemmas that arise during pandemics. This role is both ethically and epistemically valuable. However, it also gives rise to an underappreciated dilemma, as the features that make models good at solving coordination problems are often at odds with the features that make for a good scientific model. We examine and develop this dilemma in the context of the COVID-19 pandemic, and suggest extensions to other domains.
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spelling pubmed-86221112021-11-26 The coordination dilemma for epidemiological modelers Ojea Quintana, Ignacio Rosenstock, Sarita Klein, Colin Biol Philos Article Epidemiological models directly shape policy responses to public health crises. We argue that they also play a less obvious but important role in solving certain coordination problems and social dilemmas that arise during pandemics. This role is both ethically and epistemically valuable. However, it also gives rise to an underappreciated dilemma, as the features that make models good at solving coordination problems are often at odds with the features that make for a good scientific model. We examine and develop this dilemma in the context of the COVID-19 pandemic, and suggest extensions to other domains. Springer Netherlands 2021-11-26 2021 /pmc/articles/PMC8622111/ /pubmed/34848901 http://dx.doi.org/10.1007/s10539-021-09828-9 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ojea Quintana, Ignacio
Rosenstock, Sarita
Klein, Colin
The coordination dilemma for epidemiological modelers
title The coordination dilemma for epidemiological modelers
title_full The coordination dilemma for epidemiological modelers
title_fullStr The coordination dilemma for epidemiological modelers
title_full_unstemmed The coordination dilemma for epidemiological modelers
title_short The coordination dilemma for epidemiological modelers
title_sort coordination dilemma for epidemiological modelers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622111/
https://www.ncbi.nlm.nih.gov/pubmed/34848901
http://dx.doi.org/10.1007/s10539-021-09828-9
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