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Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study.

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Title: Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study.
Authors: Wu L; Population Health and Immunity, Walter and Eliza Hall Institute, Melbourne, Australia., Baker CM; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Melbourne, Australia.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Melbourne, Australia., Tierney N; The Kids Research Institute, Perth, Australia., Carville K; Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia., McVernon J; Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia., Golding N; The Kids Research Institute, Perth, Australia.; Curtin University, Perth, Australia., McCaw JM; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia., Shearer FM; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Apr 04; Vol. 21 (4), pp. e1012906. Date of Electronic Publication: 2025 Apr 04 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study.
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  Data: <searchLink fieldCode="AU" term="%22Wu+L%22">Wu L</searchLink>; Population Health and Immunity, Walter and Eliza Hall Institute, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Baker+CM%22">Baker CM</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Melbourne, Australia.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Tierney+N%22">Tierney N</searchLink>; The Kids Research Institute, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22Carville+K%22">Carville K</searchLink>; Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22McVernon+J%22">McVernon J</searchLink>; Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Golding+N%22">Golding N</searchLink>; The Kids Research Institute, Perth, Australia.; Curtin University, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22McCaw+JM%22">McCaw JM</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Shearer+FM%22">Shearer FM</searchLink>; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2025 Apr 04; Vol. 21 (4), pp. e1012906. <i>Date of Electronic Publication: </i>2025 Apr 04 (<i>Print Publication: </i>2025).
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              Text: 2025 Apr 04
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