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. |
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| 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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| ISSN: | 1537-6591 |
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| DOI: | 10.1093/cid/ciaa901 |
