The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis

Comput Math Methods Med. 2021 Jul 26:2021:8873059. doi: 10.1155/2021/8873059. eCollection 2021.

Abstract

When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R t was obtained to evaluate the measures controlling the COVID-19 conducted by the Government of Japan during different stages. It was found that the strict containing strategies during the state of emergency period drastically inhibit the COVID-19 trend. R t was decreased to 1.1123 and 0.8911 in stages 4 and 5 (a state of emergency in April and May 2020) from 3.5736, 2.0126, 3.0672 in the previous three stages when the containing strategies were weak. The state of emergency was declared again in view of the second wave of massive infections in January 2021. We estimated the cumulative infected cases and additional days to contain the COVID-19 transmission for the second state of emergency using this model. R t was 1.028 which illustrated that the strategies were less effective than the previous state of emergency. Finally, the overall infected population was predicted using combined isolation and testing intensity; the effectiveness and the expected peak time were evaluated. If using the optimized control strategies in the current stage, the spread of COVID-19 in Japan could be controlled within 30 days. The total confirmed cases should reduce to less than 4.2 × 105 by April 2021. This model study suggested stricter isolating measures may be required to shorten the period of the state of emergency.

Publication types

  • Validation Study

MeSH terms

  • Algorithms
  • COVID-19 / epidemiology*
  • COVID-19 / prevention & control
  • COVID-19 / transmission*
  • COVID-19 Testing / methods
  • COVID-19 Testing / statistics & numerical data
  • Communicable Disease Control / legislation & jurisprudence
  • Communicable Disease Control / methods
  • Communicable Disease Control / statistics & numerical data
  • Computational Biology
  • Computer Simulation
  • Emergencies*
  • Humans
  • Japan / epidemiology
  • Least-Squares Analysis
  • Mathematical Concepts
  • Models, Biological*
  • Models, Statistical
  • National Health Programs / legislation & jurisprudence
  • Nonlinear Dynamics
  • Pandemics* / prevention & control
  • Pandemics* / statistics & numerical data
  • SARS-CoV-2*