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Influence of state reopening policies in COVID-19 mortality.
Tam, Ka-Ming; Walker, Nicholas; Moreno, Juana.
  • Tam KM; Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, 70803, USA. kmtam@lsu.edu.
  • Walker N; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70803, USA. kmtam@lsu.edu.
  • Moreno J; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70803, USA.
Sci Rep ; 12(1): 1677, 2022 01 31.
Article in English | MEDLINE | ID: covidwho-1661974
ABSTRACT
By the end of May 2020, all states in the US have eased their COVID-19 mitigation measures. Different states adopted markedly different policies and timing for reopening. An important question remains in how the relaxation of mitigation measures is related to the number of casualties. To address this question, we compare the actual data to a hypothetical case in which the mitigation measures are left intact using a projection of the data from before mitigation measures were eased. We find that different states have shown significant differences between the actual number of deaths and the projected figures within the present model. We relate these differences to the states different policies and reopening schedules. Our study provides a gauge for the effectiveness of the approaches by different state governments and can serve as a guide for implementing best policies in the future. According to the Pearson correlation coefficients we obtained, the face mask mandate has the strongest correlation with the death count than any other policies we considered.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Policy / Pandemics / SARS-CoV-2 / COVID-19 / Masks / Models, Theoretical Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05286-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Policy / Pandemics / SARS-CoV-2 / COVID-19 / Masks / Models, Theoretical Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05286-9