Beyond Infection: Integrating Competence into Reservoir Host Prediction

Most efforts to predict novel reservoirs of zoonotic pathogens use information about host exposure and infection rather than competence, defined as the ability to transmit pathogens. Better obtaining and integrating competence data into statistical models as covariates, as the response variable, and...

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Detalles Bibliográficos
Autores principales: Becker, Daniel J., Seifert, Stephanie N., Carlson, Colin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Forum
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483075/
https://www.ncbi.nlm.nih.gov/pubmed/32921517
http://dx.doi.org/10.1016/j.tree.2020.08.014
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author Becker, Daniel J.
Seifert, Stephanie N.
Carlson, Colin J.
author_facet Becker, Daniel J.
Seifert, Stephanie N.
Carlson, Colin J.
author_sort Becker, Daniel J.
collection PubMed
description Most efforts to predict novel reservoirs of zoonotic pathogens use information about host exposure and infection rather than competence, defined as the ability to transmit pathogens. Better obtaining and integrating competence data into statistical models as covariates, as the response variable, and through postmodel validation should improve predictive research.
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spelling pubmed-74830752020-09-11 Beyond Infection: Integrating Competence into Reservoir Host Prediction Becker, Daniel J. Seifert, Stephanie N. Carlson, Colin J. Trends Ecol Evol Forum Most efforts to predict novel reservoirs of zoonotic pathogens use information about host exposure and infection rather than competence, defined as the ability to transmit pathogens. Better obtaining and integrating competence data into statistical models as covariates, as the response variable, and through postmodel validation should improve predictive research. Elsevier Ltd. 2020-12 2020-09-11 /pmc/articles/PMC7483075/ /pubmed/32921517 http://dx.doi.org/10.1016/j.tree.2020.08.014 Text en © 2020 Elsevier Ltd. All rights reserved. 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 Forum
Becker, Daniel J.
Seifert, Stephanie N.
Carlson, Colin J.
Beyond Infection: Integrating Competence into Reservoir Host Prediction
title Beyond Infection: Integrating Competence into Reservoir Host Prediction
title_full Beyond Infection: Integrating Competence into Reservoir Host Prediction
title_fullStr Beyond Infection: Integrating Competence into Reservoir Host Prediction
title_full_unstemmed Beyond Infection: Integrating Competence into Reservoir Host Prediction
title_short Beyond Infection: Integrating Competence into Reservoir Host Prediction
title_sort beyond infection: integrating competence into reservoir host prediction
topic Forum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483075/
https://www.ncbi.nlm.nih.gov/pubmed/32921517
http://dx.doi.org/10.1016/j.tree.2020.08.014
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