Vis enkel innførsel

dc.contributor.authorDunbar, Maria Bekker-Nielsen
dc.date.accessioned2024-01-31T07:32:52Z
dc.date.available2024-01-31T07:32:52Z
dc.date.created2024-01-17T08:36:37Z
dc.date.issued2023
dc.identifier.citationInfectious Disease Modelling. 2023, 9 (1), 185-194.en_US
dc.identifier.issn2468-2152
dc.identifier.urihttps://hdl.handle.net/11250/3114718
dc.description.abstractMixing matrices are included in infectious disease models to reflect transmission oppor- tunities between population strata. These matrices were originally constructed on the basis of theoretical considerations and most of the early work in this area originates from research on sexually transferred diseases in the 80s, in response to AIDS. Later work in the 90s populated these matrices on the basis of survey data gathered to capture transmission risks for respiratory diseases. We provide an overview of developments in the construction of matrices for capturing transmission opportunities in populations. Such transmission matrices are useful for epidemiologic modelling to capture within and between stratum transmission and can be informed from theoretical mixing assumptions, informed by empirical evidence gathered through investigation as well as generated on the basis of data. Links to summary measures and threshold conditions are also provided.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleTransmission matrices used in epidemiologic modellingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.idm.2023.11.009
dc.identifier.cristin2228232
dc.source.journalInfectious Disease Modellingen_US
dc.source.volume9en_US
dc.source.issue1en_US
dc.source.pagenumber185-194en_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal