Hospital Caseload Demand in the Presence of Interventions during the COVID-19 Pandemic: A Modeling Study.
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ABSTRACT: A surge in hospital admissions was observed in Japan in late March 2020, and the incidence of coronavirus disease (COVID-19) temporarily reduced from March to May as a result of the closure of host and hostess clubs, shortening the opening hours of bars and restaurants, and requesting a voluntary reduction of contact outside the household. To prepare for the second wave, it is vital to anticipate caseload demand, and thus, the number of required hospital beds for admitted cases and plan interventions through scenario analysis. In the present study, we analyzed the first wave data by age group so that the age-specific number of hospital admissions could be projected for the second wave. Because the age-specific patterns of the epidemic were different between urban and other areas, we analyz
SUBMITTER: Hayashi K
PROVIDER: S-EPMC7598167 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
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