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Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis.

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Title: Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis.
Authors: van Leeuwen E; Statistics, Modelling and Economics Department, 371011Public Health England, UK., Sandmann F; Statistics, Modelling and Economics Department, 371011Public Health England, UK.; Department of Infectious Disease Epidemiology, 4906London School of Hygiene and Tropical Medicine, UK.
Corporate Authors: PHE Joint modelling group; Statistics, Modelling and Economics Department, 371011Public Health England, UK.
Source: Statistical methods in medical research [Stat Methods Med Res] 2022 Sep; Vol. 31 (9), pp. 1704-1715. Date of Electronic Publication: 2021 Sep 01.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1177/09622802211037078
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        Text: English
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        StartPage: 1704
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      – TitleFull: Augmenting contact matrices with time-use data for fine-grained intervention modelling of disease dynamics: A modelling analysis.
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              Text: 2022 Sep
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