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Bats, objectivity, and viral spillover risk
What should the best practices be for modeling zoonotic disease risks, e.g. to anticipate the next pandemic, when background assumptions are unsettled or evolving rapidly? This challenge runs deeper than one might expect, all the way into how we model the robustness of contemporary phylogenetic infe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805256/ https://www.ncbi.nlm.nih.gov/pubmed/33439354 http://dx.doi.org/10.1007/s40656-021-00366-x |
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author | Sterner, Beckett Elliott, Steve Upham, Nate Franz, Nico |
author_facet | Sterner, Beckett Elliott, Steve Upham, Nate Franz, Nico |
author_sort | Sterner, Beckett |
collection | PubMed |
description | What should the best practices be for modeling zoonotic disease risks, e.g. to anticipate the next pandemic, when background assumptions are unsettled or evolving rapidly? This challenge runs deeper than one might expect, all the way into how we model the robustness of contemporary phylogenetic inference and taxonomic classifications. Different and legitimate taxonomic assumptions can destabilize the putative objectivity of zoonotic risk assessments, thus potentially supporting inconsistent and overconfident policy decisions. |
format | Online Article Text |
id | pubmed-7805256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78052562021-01-14 Bats, objectivity, and viral spillover risk Sterner, Beckett Elliott, Steve Upham, Nate Franz, Nico Hist Philos Life Sci Notes & Comments What should the best practices be for modeling zoonotic disease risks, e.g. to anticipate the next pandemic, when background assumptions are unsettled or evolving rapidly? This challenge runs deeper than one might expect, all the way into how we model the robustness of contemporary phylogenetic inference and taxonomic classifications. Different and legitimate taxonomic assumptions can destabilize the putative objectivity of zoonotic risk assessments, thus potentially supporting inconsistent and overconfident policy decisions. Springer International Publishing 2021-01-13 2021 /pmc/articles/PMC7805256/ /pubmed/33439354 http://dx.doi.org/10.1007/s40656-021-00366-x Text en © Springer Nature Switzerland AG 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 | Notes & Comments Sterner, Beckett Elliott, Steve Upham, Nate Franz, Nico Bats, objectivity, and viral spillover risk |
title | Bats, objectivity, and viral spillover risk |
title_full | Bats, objectivity, and viral spillover risk |
title_fullStr | Bats, objectivity, and viral spillover risk |
title_full_unstemmed | Bats, objectivity, and viral spillover risk |
title_short | Bats, objectivity, and viral spillover risk |
title_sort | bats, objectivity, and viral spillover risk |
topic | Notes & Comments |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805256/ https://www.ncbi.nlm.nih.gov/pubmed/33439354 http://dx.doi.org/10.1007/s40656-021-00366-x |
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