Improving Pandemic Response: Employing Mathematical Modeling to Confront Coronavirus Disease 2019.
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| Title: | Improving Pandemic Response: Employing Mathematical Modeling to Confront Coronavirus Disease 2019. |
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| Authors: | Biggerstaff M; COVID-19 Response, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.; Office of the Deputy Director for Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Slayton RB; COVID-19 Response, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.; Office of the Deputy Director for Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Johansson MA; COVID-19 Response, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.; Office of the Deputy Director for Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Butler JC; Office of the Deputy Director for Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA. |
| Source: | Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2022 Mar 09; Vol. 74 (5), pp. 913-917. |
| Publication Type: | Journal Article |
| 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/ciab673 |
