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Optimizing Benefits of Testing Key Workers for Infection with SARS-CoV-2: A Mathematical Modeling Analysis.

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Title: Optimizing Benefits of Testing Key Workers for Infection with SARS-CoV-2: A Mathematical Modeling Analysis.
Authors: Sandmann FG; Statistics, Modelling, and Economics Department, National Infection Service, Public Health England, London, United Kingdom.; Department of Infectious Disease Epidemiology and NIHR Health Protection Research Unit in Modelling and Health Economics, London School of Hygiene and Tropical Medicine, London, United Kingdom., White PJ; Statistics, Modelling, and Economics Department, National Infection Service, Public Health England, London, United Kingdom.; MRC Centre for Global Infectious Disease Analysis and NIHR Health Protection Research Unit in Modelling and Health Economics, Imperial College London, London, United Kingdom., Ramsay M; Immunisation and Countermeasures Department, National Infection Service, Public Health England, London, United Kingdom., Jit M; Statistics, Modelling, and Economics Department, National Infection Service, Public Health England, London, United Kingdom.; Department of Infectious Disease Epidemiology and NIHR Health Protection Research Unit in Modelling and Health Economics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Source: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2020 Dec 15; Vol. 71 (12), pp. 3196-3203.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 9203213 Publication Model: Print Cited Medium: Internet ISSN: 1537-6591 (Electronic) Linking ISSN: 10584838 NLM ISO Abbreviation: Clin Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1093/cid/ciaa901
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              Text: 2020 Dec 15
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