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Community Epidemiology Framework for Classifying Disease Threats

Recent evidence suggests that most parasites can infect multiple host species and that these are primarily responsible for emerging infectious disease outbreaks in humans and wildlife. However, the ecologic and evolutionary factors that constrain or facilitate such emergences are poorly understood....

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Detalles Bibliográficos
Autores principales: Fenton, Andy, Pedersen, Amy B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367628/
https://www.ncbi.nlm.nih.gov/pubmed/16485464
http://dx.doi.org/10.3201/eid1112.050306
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author Fenton, Andy
Pedersen, Amy B.
author_facet Fenton, Andy
Pedersen, Amy B.
author_sort Fenton, Andy
collection PubMed
description Recent evidence suggests that most parasites can infect multiple host species and that these are primarily responsible for emerging infectious disease outbreaks in humans and wildlife. However, the ecologic and evolutionary factors that constrain or facilitate such emergences are poorly understood. We propose a conceptual framework based on the pathogen's between- and within-species transmission rates to describe possible configurations of a multihost-pathogen community that may lead to disease emergence. We establish 3 dynamic thresholds separating 4 classes of disease outcomes, spillover, apparent multihost, true multihost, and potential emerging infectious disease; describe possible disease emergence scenarios; outline the population dynamics of each case; and clarify existing terminology. We highlight the utility of this framework with examples of disease threats in human and wildlife populations, showing how it allows us to understand which ecologic factors affect disease emergence and predict the impact of host shifts in a range of disease systems.
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spelling pubmed-33676282012-06-07 Community Epidemiology Framework for Classifying Disease Threats Fenton, Andy Pedersen, Amy B. Emerg Infect Dis Perspective Recent evidence suggests that most parasites can infect multiple host species and that these are primarily responsible for emerging infectious disease outbreaks in humans and wildlife. However, the ecologic and evolutionary factors that constrain or facilitate such emergences are poorly understood. We propose a conceptual framework based on the pathogen's between- and within-species transmission rates to describe possible configurations of a multihost-pathogen community that may lead to disease emergence. We establish 3 dynamic thresholds separating 4 classes of disease outcomes, spillover, apparent multihost, true multihost, and potential emerging infectious disease; describe possible disease emergence scenarios; outline the population dynamics of each case; and clarify existing terminology. We highlight the utility of this framework with examples of disease threats in human and wildlife populations, showing how it allows us to understand which ecologic factors affect disease emergence and predict the impact of host shifts in a range of disease systems. Centers for Disease Control and Prevention 2005-12 /pmc/articles/PMC3367628/ /pubmed/16485464 http://dx.doi.org/10.3201/eid1112.050306 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Perspective
Fenton, Andy
Pedersen, Amy B.
Community Epidemiology Framework for Classifying Disease Threats
title Community Epidemiology Framework for Classifying Disease Threats
title_full Community Epidemiology Framework for Classifying Disease Threats
title_fullStr Community Epidemiology Framework for Classifying Disease Threats
title_full_unstemmed Community Epidemiology Framework for Classifying Disease Threats
title_short Community Epidemiology Framework for Classifying Disease Threats
title_sort community epidemiology framework for classifying disease threats
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367628/
https://www.ncbi.nlm.nih.gov/pubmed/16485464
http://dx.doi.org/10.3201/eid1112.050306
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