Predictive Analyses of COVID‐19 Case Data to Estimate the Effectiveness of Nationwide Face Cover
Autor: | Byeonghwa Park, Hwanyong Kim, Jimmy Simpson |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
2019-20 coronavirus outbreak
Government Coronavirus disease 2019 (COVID-19) Cover (telecommunications) 030503 health policy & services Health Policy Social distance Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Face (sociological concept) Original Articles 03 medical and health sciences 0302 clinical medicine Geography COVID‐19 Original Article 030212 general & internal medicine 0305 other medical science data analytics face‐cover requirement Demography |
Zdroj: | World Medical & Health Policy |
ISSN: | 1948-4682 2153-2028 |
Popis: | This study provided comparisons of confirmed cases between face-cover-required states and partially or not-required states from a time-series analysis on effects of face mask use in public based on eight different states between March 1 and June 15, 2020. In comparing face-cover-required states and partially or not-required states, it was very encouraging that the slope of the daily case trends turned negative after face-cover requirements in statewide face-cover-required states, including New York, New Jersey, Pennsylvania, and Connecticut. However, the patterns of the daily case have been showing positive trends continuously in partially or not-required states, including California, Texas, Florida, and Virginia. Based on our prediction model, if nationwide face-cover requirements with social distancing were enacted on March 16, the estimated number of deaths would be about 15,600, which is 94,300 less than the actual number of deaths by June 15, 2020. We recommend that all states and the federal government require face coverings in order to reduce the risk of infectious diseases. |
Databáze: | OpenAIRE |
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