The ABC of terms used in mathematical models of infectious diseases
Identifieur interne : 001C70 ( Istex/Corpus ); précédent : 001C69; suivant : 001C71The ABC of terms used in mathematical models of infectious diseases
Auteurs : Sharmistha Mishra ; David N. Fisman ; Marie-Claude BoilySource :
- Journal of Epidemiology and Community Health [ 0143-005X ] ; 2011-01.
English descriptors
- Teeft :
- Average number, Average outcome, Behavioural, Behavioural differences, Boily, Compartmental, Compartmental model, Compartmental models, Complex models, Computational algorithm, Contact pattern, Contact rate, Contact structure, Deterministic framework, Deterministic model, Deterministic models, Different stages, Differential equations, Disease transmission, Dynamics, Endemic equilibrium, Epidemic disease, Epidemiol, Epidemiol community health, Epidemiology, Equilibrium prevalence, Eradication fraction, Glossary, Gure, Herd immunity, Heterogeneity, Homogeneous population, Imperial college, Infection, Infectious disease, Infectious diseases, Infectious diseases epidemiology, Infectious host, Infectious individuals, Initial conditions, Intermediate host, Malaria, Malaria vaccines, Mathematical epidemiology, Mathematical model, Mathematical modeling, Mathematical models, Mathematical theory, Model assumptions, Model models, Model outcomes, Model parameters, Modelling, Monte carlo simulations, Natural history, Natural immunity, Network models, Open population, Parameter, Parameter sets, Parameter values, Pathogen, Peer review, Physical contact, Population size, Prevalence, Proc natl acad, Protective immunity, Public health, Recent years, Risk factor, Risk group, Royal society, Schematic representation, Sensitivity analysis, Simulation, State variables, Statistical models, Stochastic, Stochastic models, Study design, Susceptible, Susceptible host, Susceptible hosts, Susceptible population, Transmission dynamics, Transmission dynamics models, Transmission probability, Transmission process, Uncertainty analysis, Unit time, Vaccine.
Abstract
Mathematical models that incorporate a dynamic risk of infection figure prominently in the study of infectious diseases epidemiology as a tool to inform public health policy. In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.
Url:
DOI: 10.1136/jech.2009.097113
Links to Exploration step
ISTEX:10153D78DBE0B93546A40D40E0C935483BC65432Le document en format XML
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In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>Infectious DI</term></item><item><term>modelling ME</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2010-10-21">Created</change><change when="2011-01">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/NVC-3P7PBB0L-6/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus bmj" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="no"</istex:xmlDeclaration><istex:docType PUBLIC="-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" URI="archivearticle.dtd" name="istex:docType"></istex:docType><istex:document><article article-type="other"><front><journal-meta><journal-id journal-id-type="hwp">jech</journal-id><journal-id journal-id-type="nlm-ta">J Epidemiol Community Health</journal-id><journal-id journal-id-type="publisher-id">jech</journal-id><journal-title>Journal of Epidemiology and Community Health</journal-title><abbrev-journal-title abbrev-type="publisher">J Epidemiol Community Health</abbrev-journal-title><abbrev-journal-title>J Epidemiol Community Health</abbrev-journal-title><issn pub-type="ppub">0143-005X</issn><issn pub-type="epub">1470-2738</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">jech97113</article-id><article-id pub-id-type="doi">10.1136/jech.2009.097113</article-id><article-id pub-id-type="other">jech;65/1/87</article-id><article-id pub-id-type="other">jech;jech.2009.097113</article-id><article-id pub-id-type="pmid">20966445</article-id><article-id pub-id-type="other">87</article-id><article-id pub-id-type="other">jech.2009.097113</article-id><article-categories><subj-group subj-group-type="heading"><subject>Glossary</subject></subj-group></article-categories><title-group><article-title>The ABC of terms used in mathematical models of infectious diseases</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mishra</surname><given-names>Sharmistha</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Fisman</surname><given-names>David N</given-names></name><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Boily</surname><given-names>Marie-Claude</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff4">4</xref></contrib></contrib-group><aff id="aff1"><label>1</label>Division of Infectious Diseases, St. Michael's Hospital, University of Toronto, Toronto, Canada</aff><aff id="aff2"><label>2</label>School of Public Health, Imperial College, London, UK</aff><aff id="aff3"><label>3</label>Dalla Lana School of Public Health, University of Toronto, Toronto, Canada</aff><aff id="aff4"><label>4</label>Unité de recherche en santé des populations de l'Université Laval Centre hospitalier <italic>affilié</italic> universitaire de Québec, Laval, Canada</aff><author-notes><corresp><label>Correspondence to</label> Dr Marie-Claude Boily, Division of Epidemiology, Public Health and Primary Care, Imperial College, G30 16 South Wharf Road, St Mary's Campus, London W2 1PG, UK; <email>mc.boily@imperial.ac.uk</email></corresp></author-notes><pub-date pub-type="epub-original"><day>21</day><month>10</month><year>2010</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2011</year></pub-date><pub-date pub-type="epub"><day>21</day><month>10</month><year>2010</year></pub-date><volume>65</volume><volume-id pub-id-type="other">65</volume-id><volume-id pub-id-type="other">65</volume-id><issue>1</issue><issue-id pub-id-type="other">jech;65/1</issue-id><issue-id pub-id-type="other">1</issue-id><issue-id pub-id-type="other">65/1</issue-id><fpage>87</fpage><history><date date-type="accepted"><day>12</day><month>7</month><year>2010</year></date></history><permissions><copyright-statement>© 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</copyright-statement><copyright-year>2011</copyright-year></permissions><self-uri content-type="pdf" xlink:role="full-text" xlink:href="jech-65-87.pdf"></self-uri><abstract><p>Mathematical models that incorporate a dynamic risk of infection figure prominently in the study of infectious diseases epidemiology as a tool to inform public health policy. In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.</p></abstract><kwd-group><kwd>Infectious DI</kwd><kwd>modelling ME</kwd></kwd-group></article-meta></front></article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>The ABC of terms used in mathematical models of infectious diseases</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>The ABC of terms used in mathematical models of infectious diseases</title></titleInfo><name type="personal"><namePart type="given">Sharmistha</namePart><namePart type="family">Mishra</namePart><affiliation>Division of Infectious Diseases, St. Michael's Hospital, University of Toronto, Toronto, Canada</affiliation><affiliation>School of Public Health, Imperial College, London, UK</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">David N</namePart><namePart type="family">Fisman</namePart><affiliation>Dalla Lana School of Public Health, University of Toronto, Toronto, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal" displayLabel="corresp"><namePart type="given">Marie-Claude</namePart><namePart type="family">Boily</namePart><affiliation>School of Public Health, Imperial College, London, UK</affiliation><affiliation>Unité de recherche en santé des populations de l'Université Laval Centre hospitalier affilié universitaire de Québec, Laval, Canada</affiliation><affiliation>E-mail: mc.boily@imperial.ac.uk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="other" displayLabel="other" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-7474895G-0">other</genre><originInfo><publisher>BMJ Publishing Group Ltd</publisher><dateIssued encoding="w3cdtf">2011-01</dateIssued><dateCreated encoding="w3cdtf">2010-10-21</dateCreated><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><abstract>Mathematical models that incorporate a dynamic risk of infection figure prominently in the study of infectious diseases epidemiology as a tool to inform public health policy. In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.</abstract><subject><genre>keywords</genre><topic>Infectious DI</topic><topic>modelling ME</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Epidemiology and Community Health</title></titleInfo><titleInfo type="abbreviated"><title>J Epidemiol Community Health</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><identifier type="ISSN">0143-005X</identifier><identifier type="eISSN">1470-2738</identifier><identifier type="PublisherID">jech</identifier><identifier type="PublisherID-hwp">jech</identifier><identifier type="PublisherID-nlm-ta">J Epidemiol Community Health</identifier><part><date>2011</date><detail type="volume"><caption>vol.</caption><number>65</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>87</start></extent></part></relatedItem><identifier type="istex">10153D78DBE0B93546A40D40E0C935483BC65432</identifier><identifier type="ark">ark:/67375/NVC-3P7PBB0L-6</identifier><identifier type="DOI">10.1136/jech.2009.097113</identifier><identifier type="href">jech-65-87.pdf</identifier><identifier type="ArticleID">jech97113</identifier><identifier type="PMID">20966445</identifier><identifier type="local">jech;65/1/87</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2011, Published by the BMJ Publishing Group Limited. 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