Model or meal? Farm animal populations as models for infectious diseases of humans
Identifieur interne : 001071 ( Main/Exploration ); précédent : 001070; suivant : 001072Model or meal? Farm animal populations as models for infectious diseases of humans
Auteurs : Cristina Lanzas [États-Unis] ; Patrick Ayscue [États-Unis] ; Renata Ivanek ; Yrjö T. Gröhn [États-Unis]Source :
- Nature Reviews. Microbiology [ 1740-1526 ] ; 2009.
Abstract
Mathematical models based on ecological and evolutionary theory are used to study pathogen invasion, persistence and evolution and to aid public-health decision making. Empirical data are crucial for assessing whether assumptions of mathematical models hold true and under what conditions model predictions are valid. Empirical data can be obtained from field or experimental settings using biological models of animal diseases. The use of animal models to describe population-scale disease dynamics and their feedback interactions has been limited. Farm animal populations, coupled with mathematical models, are well-suited model systems to study infectious diseases dynamics at the population level. Factors contributing to disease outbreaks and heterogeneities that lead to differences in infectiousness and transmission dynamics are common to both animal and human settings. In farm animal populations, infection challenge and transmission experiments can be carried out, and large-scale and long-term field data can be gathered on the same host–pathogen system. Thus, model systems that span several organizational levels can be obtained. Examples of host–pathogen model systems derived from farm animal populations are found in research areas such as the evolutionary epidemiology of vaccines and antimicrobial resistance and the emergence of new pathogens.
Url:
DOI: 10.1038/nrmicro2268
PubMed: 20040917
PubMed Central: 7097165
Affiliations:
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Farm animal populations as models for infectious diseases of humans</title><author><name sortKey="Lanzas, Cristina" sort="Lanzas, Cristina" uniqKey="Lanzas C" first="Cristina" last="Lanzas">Cristina Lanzas</name><affiliation wicri:level="1"><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.5386.8</institution-id><institution-id institution-id-type="ISNI">000000041936877X</institution-id><institution>Department of Population Medicine and Diagnostic Sciences,</institution><institution>College of Veterinary Medicine, Cornell University,</institution></institution-wrap>Ithaca, 14853 New York USA</nlm:aff><country>États-Unis</country><placeName><settlement type="city">New York</settlement><region type="state">État de New York</region></placeName><wicri:regionArea>Ithaca</wicri:regionArea></affiliation></author><author><name sortKey="Ayscue, Patrick" sort="Ayscue, Patrick" uniqKey="Ayscue P" first="Patrick" last="Ayscue">Patrick Ayscue</name><affiliation wicri:level="1"><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.5386.8</institution-id><institution-id institution-id-type="ISNI">000000041936877X</institution-id><institution>Department of Population Medicine and Diagnostic Sciences,</institution><institution>College of Veterinary Medicine, Cornell University,</institution></institution-wrap>Ithaca, 14853 New York USA</nlm:aff><country>États-Unis</country><placeName><settlement type="city">New York</settlement><region type="state">État de New York</region></placeName><wicri:regionArea>Ithaca</wicri:regionArea></affiliation></author><author><name sortKey="Ivanek, Renata" sort="Ivanek, Renata" uniqKey="Ivanek R" first="Renata" last="Ivanek">Renata Ivanek</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.264756.4</institution-id><institution-id institution-id-type="ISNI">0000 0004 4687 2082</institution-id><institution>Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station,</institution></institution-wrap>77843 Texas USA</nlm:aff></affiliation></author><author><name sortKey="Grohn, Yrjo T" sort="Grohn, Yrjo T" uniqKey="Grohn Y" first="Yrjö T." last="Gröhn">Yrjö T. Gröhn</name><affiliation wicri:level="1"><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.5386.8</institution-id><institution-id institution-id-type="ISNI">000000041936877X</institution-id><institution>Department of Population Medicine and Diagnostic Sciences,</institution><institution>College of Veterinary Medicine, Cornell University,</institution></institution-wrap>Ithaca, 14853 New York USA</nlm:aff><country>États-Unis</country><placeName><settlement type="city">New York</settlement><region type="state">État de New York</region></placeName><wicri:regionArea>Ithaca</wicri:regionArea></affiliation></author></analytic><series><title level="j">Nature Reviews. Microbiology</title><idno type="ISSN">1740-1526</idno><idno type="eISSN">1740-1534</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Key Points</title><p id="Par5"><list list-type="bullet"><list-item><p id="Par6">Mathematical models based on ecological and evolutionary theory are used to study pathogen invasion, persistence and evolution and to aid public-health decision making.</p></list-item><list-item><p id="Par7">Empirical data are crucial for assessing whether assumptions of mathematical models hold true and under what conditions model predictions are valid. Empirical data can be obtained from field or experimental settings using biological models of animal diseases. The use of animal models to describe population-scale disease dynamics and their feedback interactions has been limited.</p></list-item><list-item><p id="Par8">Farm animal populations, coupled with mathematical models, are well-suited model systems to study infectious diseases dynamics at the population level.</p></list-item><list-item><p id="Par9">Factors contributing to disease outbreaks and heterogeneities that lead to differences in infectiousness and transmission dynamics are common to both animal and human settings.</p></list-item><list-item><p id="Par10">In farm animal populations, infection challenge and transmission experiments can be carried out, and large-scale and long-term field data can be gathered on the same host–pathogen system. Thus, model systems that span several organizational levels can be obtained.</p></list-item><list-item><p id="Par11">Examples of host–pathogen model systems derived from farm animal populations are found in research areas such as the evolutionary epidemiology of vaccines and antimicrobial resistance and the emergence of new pathogens.</p></list-item></list></p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Anderson, Rm" uniqKey="Anderson R">RM Anderson</name></author><author><name sortKey="May, Rm" uniqKey="May R">RM May</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ferguson, Nm" uniqKey="Ferguson N">NM Ferguson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Elbasha, Eh" uniqKey="Elbasha E">EH Elbasha</name></author><author><name sortKey="Dasbach, Ej" uniqKey="Dasbach E">EJ Dasbach</name></author><author><name sortKey="Insinga, Rp" 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Schukken</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État de New York</li></region><settlement><li>New York</li></settlement></list><tree><noCountry><name sortKey="Ivanek, Renata" sort="Ivanek, Renata" uniqKey="Ivanek R" first="Renata" last="Ivanek">Renata Ivanek</name></noCountry><country name="États-Unis"><region name="État de New York"><name sortKey="Lanzas, Cristina" sort="Lanzas, Cristina" uniqKey="Lanzas C" first="Cristina" last="Lanzas">Cristina Lanzas</name></region><name sortKey="Ayscue, Patrick" sort="Ayscue, Patrick" uniqKey="Ayscue P" first="Patrick" last="Ayscue">Patrick Ayscue</name><name sortKey="Grohn, Yrjo T" sort="Grohn, Yrjo T" uniqKey="Grohn Y" first="Yrjö T." last="Gröhn">Yrjö T. 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