Adaptive modeling of viral diseases in bats with a focus on rabies.
Identifieur interne : 001D40 ( Ncbi/Curation ); précédent : 001D39; suivant : 001D41Adaptive modeling of viral diseases in bats with a focus on rabies.
Auteurs : Dobromir T. Dimitrov [États-Unis] ; Thomas G. Hallam ; Charles E. Rupprecht ; Gary F. MccrackenSource :
- Journal of theoretical biology [ 1095-8541 ] ; 2008.
Descripteurs français
- KwdFr :
- Animaux, Chiroptera (immunologie), Chiroptera (virologie), Dynamique des populations, Humains, Maladies virales (immunologie), Maladies virales (transmission), Modèles biologiques, Modèles immunologiques, Rage (maladie) (transmission), Réservoirs d'agents pathogènes, Simulation numérique, Virus de la rage, Zoonoses (transmission).
- MESH :
- immunologie : Chiroptera, Maladies virales.
- virologie : Chiroptera.
- transmission : Animaux, Dynamique des populations, Humains, Maladies virales, Modèles biologiques, Modèles immunologiques, Rage (maladie), Réservoirs d'agents pathogènes, Simulation numérique, Virus de la rage, Zoonoses.
English descriptors
- KwdEn :
- MESH :
- immunology : Chiroptera, Virus Diseases.
- transmission : Rabies, Virus Diseases, Zoonoses.
- virology : Chiroptera.
- Animals, Computer Simulation, Disease Reservoirs, Humans, Models, Biological, Models, Immunological, Population Dynamics, Rabies virus.
Abstract
Many emerging and reemerging viruses, such as rabies, SARS, Marburg, and Ebola have bat populations as disease reservoirs. Understanding the spillover from bats to humans and other animals, and the associated health risks requires an analysis of the disease dynamics in bat populations. Traditional compartmental epizootic models, which are relatively easy to implement and analyze, usually impose unrealistic aggregation assumptions about disease-related structure and depend on parameters that frequently are not measurable in field conditions. We propose a novel combination of computational and adaptive modeling approaches that address the maintenance of emerging diseases in bat colonies through individual (intra-host) models of the response of the host to a viral challenge. The dynamics of the individual models are used to define survival, susceptibility and transmission conditions relevant to epizootics as well as to develop and parametrize models of the disease evolution into uniform and diverse populations. Applications of the proposed approach to modeling the effects of immunological heterogeneity on the dynamics of bat rabies are presented.
DOI: 10.1016/j.jtbi.2008.08.007
PubMed: 18761020
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pubmed:18761020Le document en format XML
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Hallam</name></author><author><name sortKey="Rupprecht, Charles E" sort="Rupprecht, Charles E" uniqKey="Rupprecht C" first="Charles E" last="Rupprecht">Charles E. Rupprecht</name></author><author><name sortKey="Mccracken, Gary F" sort="Mccracken, Gary F" uniqKey="Mccracken G" first="Gary F" last="Mccracken">Gary F. 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Dimitrov</name><affiliation wicri:level="2"><nlm:affiliation>Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall, 1416 Circle Drive, Knoxville, TN 37996-1610, USA. dobromir@scharp.org</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall, 1416 Circle Drive, Knoxville, TN 37996-1610</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Hallam, Thomas G" sort="Hallam, Thomas G" uniqKey="Hallam T" first="Thomas G" last="Hallam">Thomas G. Hallam</name></author><author><name sortKey="Rupprecht, Charles E" sort="Rupprecht, Charles E" uniqKey="Rupprecht C" first="Charles E" last="Rupprecht">Charles E. Rupprecht</name></author><author><name sortKey="Mccracken, Gary F" sort="Mccracken, Gary F" uniqKey="Mccracken G" first="Gary F" last="Mccracken">Gary F. Mccracken</name></author></analytic><series><title level="j">Journal of theoretical biology</title><idno type="eISSN">1095-8541</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Chiroptera (immunology)</term><term>Chiroptera (virology)</term><term>Computer Simulation</term><term>Disease Reservoirs</term><term>Humans</term><term>Models, Biological</term><term>Models, Immunological</term><term>Population Dynamics</term><term>Rabies (transmission)</term><term>Rabies virus</term><term>Virus Diseases (immunology)</term><term>Virus Diseases (transmission)</term><term>Zoonoses (transmission)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Chiroptera (immunologie)</term><term>Chiroptera (virologie)</term><term>Dynamique des populations</term><term>Humains</term><term>Maladies virales (immunologie)</term><term>Maladies virales (transmission)</term><term>Modèles biologiques</term><term>Modèles immunologiques</term><term>Rage (maladie) (transmission)</term><term>Réservoirs d'agents pathogènes</term><term>Simulation numérique</term><term>Virus de la rage</term><term>Zoonoses (transmission)</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Chiroptera</term><term>Maladies virales</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Chiroptera</term><term>Virus Diseases</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Rabies</term><term>Virus Diseases</term><term>Zoonoses</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Chiroptera</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Chiroptera</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Computer Simulation</term><term>Disease Reservoirs</term><term>Humans</term><term>Models, Biological</term><term>Models, Immunological</term><term>Population Dynamics</term><term>Rabies virus</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="fr"><term>Animaux</term><term>Dynamique des populations</term><term>Humains</term><term>Maladies virales</term><term>Modèles biologiques</term><term>Modèles immunologiques</term><term>Rage (maladie)</term><term>Réservoirs d'agents pathogènes</term><term>Simulation numérique</term><term>Virus de la rage</term><term>Zoonoses</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Many emerging and reemerging viruses, such as rabies, SARS, Marburg, and Ebola have bat populations as disease reservoirs. Understanding the spillover from bats to humans and other animals, and the associated health risks requires an analysis of the disease dynamics in bat populations. Traditional compartmental epizootic models, which are relatively easy to implement and analyze, usually impose unrealistic aggregation assumptions about disease-related structure and depend on parameters that frequently are not measurable in field conditions. We propose a novel combination of computational and adaptive modeling approaches that address the maintenance of emerging diseases in bat colonies through individual (intra-host) models of the response of the host to a viral challenge. The dynamics of the individual models are used to define survival, susceptibility and transmission conditions relevant to epizootics as well as to develop and parametrize models of the disease evolution into uniform and diverse populations. Applications of the proposed approach to modeling the effects of immunological heterogeneity on the dynamics of bat rabies are presented.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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