Inferring infection hazard in wildlife populations by linking data across individual and population scales.
Identifieur interne : 000107 ( Main/Exploration ); précédent : 000106; suivant : 000108Inferring infection hazard in wildlife populations by linking data across individual and population scales.
Auteurs : Kim M. Pepin [États-Unis] ; Shannon L. Kay [États-Unis] ; Ben D. Golas [États-Unis] ; Susan S. Shriner [États-Unis] ; Amy T. Gilbert [États-Unis] ; Ryan S. Miller [États-Unis] ; Andrea L. Graham [États-Unis] ; Steven Riley [Royaume-Uni] ; Paul C. Cross [États-Unis] ; Michael D. Samuel [États-Unis] ; Mevin B. Hooten [États-Unis] ; Jennifer A. Hoeting [États-Unis] ; James O. Lloyd-Smith [États-Unis] ; Colleen T. Webb [États-Unis] ; Michael G. Buhnerkempe [États-Unis]Source :
- Ecology letters [ 1461-0248 ] ; 2017.
Descripteurs français
- KwdFr :
- Animaux (MeSH), Anticorps antiviraux (analyse), Appréciation des risques (méthodes), Canards (MeSH), Coyotes (MeSH), Facteurs âges (MeSH), Grippe chez les oiseaux (virologie), Grippe chez les oiseaux (épidémiologie), Maladies de la volaille (virologie), Maladies de la volaille (épidémiologie), Méthodes épidémiologiques (médecine vétérinaire), Oies (MeSH), Peste (microbiologie), Peste (médecine vétérinaire), Peste (épidémiologie), Prévalence (MeSH), Simulation numérique (MeSH), Territoires du Nord-Ouest (Canada) (épidémiologie), Virus de la grippe A (physiologie), Yersinia pestis (physiologie), Études longitudinales (MeSH), Études séroépidémiologiques (MeSH), Études transversales (MeSH).
- MESH :
- analyse : Anticorps antiviraux.
- microbiologie : Peste.
- médecine vétérinaire : Méthodes épidémiologiques, Peste.
- méthodes : Appréciation des risques.
- physiologie : Virus de la grippe A, Yersinia pestis.
- virologie : Grippe chez les oiseaux, Maladies de la volaille.
- épidémiologie : Grippe chez les oiseaux, Maladies de la volaille, Peste, Territoires du Nord-Ouest (Canada).
- Animaux, Canards, Coyotes, Facteurs âges, Oies, Prévalence, Simulation numérique, Études longitudinales, Études séroépidémiologiques, Études transversales.
English descriptors
- KwdEn :
- Age Factors (MeSH), Animals (MeSH), Antibodies, Viral (analysis), Computer Simulation (MeSH), Coyotes (MeSH), Cross-Sectional Studies (MeSH), Ducks (MeSH), Epidemiologic Methods (veterinary), Geese (MeSH), Influenza A virus (physiology), Influenza in Birds (epidemiology), Influenza in Birds (virology), Longitudinal Studies (MeSH), Northwest Territories (epidemiology), Plague (epidemiology), Plague (microbiology), Plague (veterinary), Poultry Diseases (epidemiology), Poultry Diseases (virology), Prevalence (MeSH), Risk Assessment (methods), Seroepidemiologic Studies (MeSH), Yersinia pestis (physiology).
- MESH :
- chemical , analysis : Antibodies, Viral.
- epidemiology : Influenza in Birds, Northwest Territories, Plague, Poultry Diseases.
- methods : Risk Assessment.
- microbiology : Plague.
- physiology : Influenza A virus, Yersinia pestis.
- veterinary : Epidemiologic Methods, Plague.
- virology : Influenza in Birds, Poultry Diseases.
- Age Factors, Animals, Computer Simulation, Coyotes, Cross-Sectional Studies, Ducks, Geese, Longitudinal Studies, Prevalence, Seroepidemiologic Studies.
Abstract
Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.
DOI: 10.1111/ele.12732
PubMed: 28090753
PubMed Central: PMC7163542
Affiliations:
- Royaume-Uni, États-Unis
- Angleterre, Grand Londres, New Jersey
- Londres, Princeton (New Jersey)
- Université de Princeton
Links toward previous steps (curation, corpus...)
Le document en format XML
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Geological Survey, Wisconsin Cooperative Wildlife Research Unit, 1630 Linden Drove, University of Wisconsin, Madison, WI, 53706</wicri:regionArea><wicri:noRegion>53706</wicri:noRegion></affiliation></author><author><name sortKey="Hooten, Mevin B" sort="Hooten, Mevin B" uniqKey="Hooten M" first="Mevin B" last="Hooten">Mevin B. 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Pepin</name><affiliation wicri:level="1"><nlm:affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521</wicri:regionArea><wicri:noRegion>80521</wicri:noRegion></affiliation></author><author><name sortKey="Kay, Shannon L" sort="Kay, Shannon L" uniqKey="Kay S" first="Shannon L" last="Kay">Shannon L. Kay</name><affiliation wicri:level="1"><nlm:affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521</wicri:regionArea><wicri:noRegion>80521</wicri:noRegion></affiliation></author><author><name sortKey="Golas, Ben D" sort="Golas, Ben D" uniqKey="Golas B" first="Ben D" last="Golas">Ben D. Golas</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biology, Colorado State University, Fort Collins, CO, 80523</wicri:regionArea><wicri:noRegion>80523</wicri:noRegion></affiliation></author><author><name sortKey="Shriner, Susan S" sort="Shriner, Susan S" uniqKey="Shriner S" first="Susan S" last="Shriner">Susan S. Shriner</name><affiliation wicri:level="1"><nlm:affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521</wicri:regionArea><wicri:noRegion>80521</wicri:noRegion></affiliation></author><author><name sortKey="Gilbert, Amy T" sort="Gilbert, Amy T" uniqKey="Gilbert A" first="Amy T" last="Gilbert">Amy T. Gilbert</name><affiliation wicri:level="1"><nlm:affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521</wicri:regionArea><wicri:noRegion>80521</wicri:noRegion></affiliation></author><author><name sortKey="Miller, Ryan S" sort="Miller, Ryan S" uniqKey="Miller R" first="Ryan S" last="Miller">Ryan S. Miller</name><affiliation wicri:level="1"><nlm:affiliation>Animal and Plant Health Inspection Service, United States Department of Agriculture, Veterinary Services, 2155 Center Drive, Building B, Fort Collins, CO, 80523, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Animal and Plant Health Inspection Service, United States Department of Agriculture, Veterinary Services, 2155 Center Drive, Building B, Fort Collins, CO, 80523</wicri:regionArea><wicri:noRegion>80523</wicri:noRegion></affiliation></author><author><name sortKey="Graham, Andrea L" sort="Graham, Andrea L" uniqKey="Graham A" first="Andrea L" last="Graham">Andrea L. Graham</name><affiliation wicri:level="4"><nlm:affiliation>Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544</wicri:regionArea><orgName type="university">Université de Princeton</orgName><placeName><settlement type="city">Princeton (New Jersey)</settlement><region type="state">New Jersey</region></placeName></affiliation></author><author><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name><affiliation wicri:level="3"><nlm:affiliation>MRC Centre for Outbreak Analysis and Modelling, Imperial College, London, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>MRC Centre for Outbreak Analysis and Modelling, Imperial College, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Cross, Paul C" sort="Cross, Paul C" uniqKey="Cross P" first="Paul C" last="Cross">Paul C. Cross</name><affiliation wicri:level="1"><nlm:affiliation>U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Bozeman, MT, 59715, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Bozeman, MT, 59715</wicri:regionArea><wicri:noRegion>59715</wicri:noRegion></affiliation></author><author><name sortKey="Samuel, Michael D" sort="Samuel, Michael D" uniqKey="Samuel M" first="Michael D" last="Samuel">Michael D. Samuel</name><affiliation wicri:level="1"><nlm:affiliation>U. S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit, 1630 Linden Drove, University of Wisconsin, Madison, WI, 53706, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>U. S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit, 1630 Linden Drove, University of Wisconsin, Madison, WI, 53706</wicri:regionArea><wicri:noRegion>53706</wicri:noRegion></affiliation></author><author><name sortKey="Hooten, Mevin B" sort="Hooten, Mevin B" uniqKey="Hooten M" first="Mevin B" last="Hooten">Mevin B. Hooten</name><affiliation wicri:level="1"><nlm:affiliation>U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit; Departments of Fish, Wildlife, & Conservation Biology and Statistics, Colorado State University, 1484 Campus Delivery, Fort Collins, CO, 80523, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit; Departments of Fish, Wildlife, & Conservation Biology and Statistics, Colorado State University, 1484 Campus Delivery, Fort Collins, CO, 80523</wicri:regionArea><wicri:noRegion>80523</wicri:noRegion></affiliation></author><author><name sortKey="Hoeting, Jennifer A" sort="Hoeting, Jennifer A" uniqKey="Hoeting J" first="Jennifer A" last="Hoeting">Jennifer A. Hoeting</name><affiliation wicri:level="1"><nlm:affiliation>Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Statistics, Colorado State University, Fort Collins, CO, 80523</wicri:regionArea><wicri:noRegion>80523</wicri:noRegion></affiliation></author><author><name sortKey="Lloyd Smith, James O" sort="Lloyd Smith, James O" uniqKey="Lloyd Smith J" first="James O" last="Lloyd-Smith">James O. Lloyd-Smith</name><affiliation wicri:level="1"><nlm:affiliation>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095</wicri:regionArea><wicri:noRegion>90095</wicri:noRegion></affiliation></author><author><name sortKey="Webb, Colleen T" sort="Webb, Colleen T" uniqKey="Webb C" first="Colleen T" last="Webb">Colleen T. Webb</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biology, Colorado State University, Fort Collins, CO, 80523</wicri:regionArea><wicri:noRegion>80523</wicri:noRegion></affiliation></author><author><name sortKey="Buhnerkempe, Michael G" sort="Buhnerkempe, Michael G" uniqKey="Buhnerkempe M" first="Michael G" last="Buhnerkempe">Michael G. Buhnerkempe</name><affiliation wicri:level="1"><nlm:affiliation>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095</wicri:regionArea><wicri:noRegion>90095</wicri:noRegion></affiliation></author></analytic><series><title level="j">Ecology letters</title><idno type="eISSN">1461-0248</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Factors (MeSH)</term><term>Animals (MeSH)</term><term>Antibodies, Viral (analysis)</term><term>Computer Simulation (MeSH)</term><term>Coyotes (MeSH)</term><term>Cross-Sectional Studies (MeSH)</term><term>Ducks (MeSH)</term><term>Epidemiologic Methods (veterinary)</term><term>Geese (MeSH)</term><term>Influenza A virus (physiology)</term><term>Influenza in Birds (epidemiology)</term><term>Influenza in Birds (virology)</term><term>Longitudinal Studies (MeSH)</term><term>Northwest Territories (epidemiology)</term><term>Plague (epidemiology)</term><term>Plague (microbiology)</term><term>Plague (veterinary)</term><term>Poultry Diseases (epidemiology)</term><term>Poultry Diseases (virology)</term><term>Prevalence (MeSH)</term><term>Risk Assessment (methods)</term><term>Seroepidemiologic Studies (MeSH)</term><term>Yersinia pestis (physiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux (MeSH)</term><term>Anticorps antiviraux (analyse)</term><term>Appréciation des risques (méthodes)</term><term>Canards (MeSH)</term><term>Coyotes (MeSH)</term><term>Facteurs âges (MeSH)</term><term>Grippe chez les oiseaux (virologie)</term><term>Grippe chez les oiseaux (épidémiologie)</term><term>Maladies de la volaille (virologie)</term><term>Maladies de la volaille (épidémiologie)</term><term>Méthodes épidémiologiques (médecine vétérinaire)</term><term>Oies (MeSH)</term><term>Peste (microbiologie)</term><term>Peste (médecine vétérinaire)</term><term>Peste (épidémiologie)</term><term>Prévalence (MeSH)</term><term>Simulation numérique (MeSH)</term><term>Territoires du Nord-Ouest (Canada) (épidémiologie)</term><term>Virus de la grippe A (physiologie)</term><term>Yersinia pestis (physiologie)</term><term>Études longitudinales (MeSH)</term><term>Études séroépidémiologiques (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Antibodies, Viral</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Anticorps antiviraux</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza in Birds</term><term>Northwest Territories</term><term>Plague</term><term>Poultry Diseases</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Risk Assessment</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Peste</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plague</term></keywords><keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr"><term>Méthodes épidémiologiques</term><term>Peste</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Appréciation des risques</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Virus de la grippe A</term><term>Yersinia pestis</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Influenza A virus</term><term>Yersinia pestis</term></keywords><keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Epidemiologic Methods</term><term>Plague</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Grippe chez les 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transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28090753</PMID><DateCompleted><Year>2017</Year><Month>10</Month><Day>26</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1461-0248</ISSN><JournalIssue CitedMedium="Internet"><Volume>20</Volume><Issue>3</Issue><PubDate><Year>2017</Year><Month>03</Month></PubDate></JournalIssue><Title>Ecology letters</Title><ISOAbbreviation>Ecol. Lett.</ISOAbbreviation></Journal><ArticleTitle>Inferring infection hazard in wildlife populations by linking data across individual and population scales.</ArticleTitle><Pagination><MedlinePgn>275-292</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/ele.12732</ELocationID><Abstract><AbstractText>Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.</AbstractText><CopyrightInformation>© 2017 John Wiley & Sons Ltd/CNRS.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pepin</LastName><ForeName>Kim M</ForeName><Initials>KM</Initials><AffiliationInfo><Affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kay</LastName><ForeName>Shannon L</ForeName><Initials>SL</Initials><AffiliationInfo><Affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Golas</LastName><ForeName>Ben D</ForeName><Initials>BD</Initials><AffiliationInfo><Affiliation>Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shriner</LastName><ForeName>Susan S</ForeName><Initials>SS</Initials><AffiliationInfo><Affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gilbert</LastName><ForeName>Amy T</ForeName><Initials>AT</Initials><AffiliationInfo><Affiliation>National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80521, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miller</LastName><ForeName>Ryan S</ForeName><Initials>RS</Initials><AffiliationInfo><Affiliation>Animal and Plant Health Inspection Service, United States Department of Agriculture, Veterinary Services, 2155 Center Drive, Building B, Fort Collins, CO, 80523, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Graham</LastName><ForeName>Andrea L</ForeName><Initials>AL</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Riley</LastName><ForeName>Steven</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>MRC Centre for Outbreak Analysis and Modelling, Imperial College, London, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cross</LastName><ForeName>Paul C</ForeName><Initials>PC</Initials><AffiliationInfo><Affiliation>U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Bozeman, MT, 59715, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Samuel</LastName><ForeName>Michael D</ForeName><Initials>MD</Initials><AffiliationInfo><Affiliation>U. S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit, 1630 Linden Drove, University of Wisconsin, Madison, WI, 53706, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hooten</LastName><ForeName>Mevin B</ForeName><Initials>MB</Initials><AffiliationInfo><Affiliation>U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit; Departments of Fish, Wildlife, & Conservation Biology and Statistics, Colorado State University, 1484 Campus Delivery, Fort Collins, CO, 80523, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hoeting</LastName><ForeName>Jennifer A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lloyd-Smith</LastName><ForeName>James O</ForeName><Initials>JO</Initials><AffiliationInfo><Affiliation>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Webb</LastName><ForeName>Colleen T</ForeName><Initials>CT</Initials><AffiliationInfo><Affiliation>Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buhnerkempe</LastName><ForeName>Michael G</ForeName><Initials>MG</Initials><AffiliationInfo><Affiliation>Department of Ecology & Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>MR/J008761/1</GrantID><Agency>Medical Research Council</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>01</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Ecol Lett</MedlineTA><NlmUniqueID>101121949</NlmUniqueID><ISSNLinking>1461-023X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000914">Antibodies, Viral</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D046029" MajorTopicYN="Y">Coyotes</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004372" MajorTopicYN="Y">Ducks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004812" MajorTopicYN="N">Epidemiologic Methods</DescriptorName><QualifierName UI="Q000662" MajorTopicYN="Y">veterinary</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005777" MajorTopicYN="Y">Geese</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009980" MajorTopicYN="N">Influenza A virus</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005585" MajorTopicYN="N">Influenza in Birds</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015873" MajorTopicYN="N">Northwest Territories</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010930" MajorTopicYN="N">Plague</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName><QualifierName UI="Q000662" MajorTopicYN="Y">veterinary</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011201" MajorTopicYN="N">Poultry Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016036" MajorTopicYN="N">Seroepidemiologic Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015010" MajorTopicYN="N">Yersinia pestis</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Antibody</Keyword><Keyword MajorTopicYN="Y">antibody kinetics</Keyword><Keyword MajorTopicYN="Y">disease hazard</Keyword><Keyword MajorTopicYN="Y">force of infection</Keyword><Keyword MajorTopicYN="Y">incidence</Keyword><Keyword MajorTopicYN="Y">individual-level variation</Keyword><Keyword MajorTopicYN="Y">influenza</Keyword><Keyword MajorTopicYN="Y">serosurveillance</Keyword><Keyword 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Pepin</name></noRegion><name sortKey="Buhnerkempe, Michael G" sort="Buhnerkempe, Michael G" uniqKey="Buhnerkempe M" first="Michael G" last="Buhnerkempe">Michael G. Buhnerkempe</name><name sortKey="Cross, Paul C" sort="Cross, Paul C" uniqKey="Cross P" first="Paul C" last="Cross">Paul C. Cross</name><name sortKey="Gilbert, Amy T" sort="Gilbert, Amy T" uniqKey="Gilbert A" first="Amy T" last="Gilbert">Amy T. Gilbert</name><name sortKey="Golas, Ben D" sort="Golas, Ben D" uniqKey="Golas B" first="Ben D" last="Golas">Ben D. Golas</name><name sortKey="Graham, Andrea L" sort="Graham, Andrea L" uniqKey="Graham A" first="Andrea L" last="Graham">Andrea L. Graham</name><name sortKey="Hoeting, Jennifer A" sort="Hoeting, Jennifer A" uniqKey="Hoeting J" first="Jennifer A" last="Hoeting">Jennifer A. Hoeting</name><name sortKey="Hooten, Mevin B" sort="Hooten, Mevin B" uniqKey="Hooten M" first="Mevin B" last="Hooten">Mevin B. Hooten</name><name sortKey="Kay, Shannon L" sort="Kay, Shannon L" uniqKey="Kay S" first="Shannon L" last="Kay">Shannon L. Kay</name><name sortKey="Lloyd Smith, James O" sort="Lloyd Smith, James O" uniqKey="Lloyd Smith J" first="James O" last="Lloyd-Smith">James O. Lloyd-Smith</name><name sortKey="Miller, Ryan S" sort="Miller, Ryan S" uniqKey="Miller R" first="Ryan S" last="Miller">Ryan S. Miller</name><name sortKey="Samuel, Michael D" sort="Samuel, Michael D" uniqKey="Samuel M" first="Michael D" last="Samuel">Michael D. Samuel</name><name sortKey="Shriner, Susan S" sort="Shriner, Susan S" uniqKey="Shriner S" first="Susan S" last="Shriner">Susan S. Shriner</name><name sortKey="Webb, Colleen T" sort="Webb, Colleen T" uniqKey="Webb C" first="Colleen T" last="Webb">Colleen T. Webb</name></country><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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