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. |
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| 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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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1012906 |
