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Projecting a second wave of COVID-19 in Japan with variable interventions in high-risk settings.
Jung, Sung-Mok; Endo, Akira; Kinoshita, Ryo; Nishiura, Hiroshi.
  • Jung SM; Kyoto University School of Public Health, Yoshidakonoe cho, Sakyo ku, Kyoto city 6068501, Japan.
  • Endo A; Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan.
  • Kinoshita R; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
  • Nishiura H; The Alan Turing Institute, London, UK.
R Soc Open Sci ; 8(3): 202169, 2021 Mar 31.
Article in English | MEDLINE | ID: covidwho-1199604
ABSTRACT
An initial set of interventions, including the closure of host and hostess clubs and voluntary limitation of non-household contact, probably greatly contributed to reducing the disease incidence of coronavirus disease (COVID-19) in Japan, but this approach must eventually be replaced by a more sustainable strategy. To characterize such a possible exit strategy from the restrictive guidelines, we quantified the next-generation matrix, accounting for high- and low-risk transmission settings. This matrix was used to project the future incidence in Tokyo and Osaka after the state of emergency is lifted, presenting multiple 'post-emergency' scenarios with different levels of restriction. The effective reproduction numbers (R) for the increasing phase, the transition phase and the state-of-emergency phase in the first wave of the disease were estimated as 1.78 (95% credible interval (CrI) 1.73-1.82), 0.74 (95% CrI 0.71-0.78) and 0.63 (95% CrI 0.61-0.65), respectively, in Tokyo and as 1.58 (95% CrI 1.51-1.64), 1.20 (95% CrI 1.15-1.25) and 0.48 (95% CrI 0.44-0.51), respectively, in Osaka. Projections showed that a 50% decrease in the high-risk transmission is required to keep R less than 1 in both locations-a level necessary to maintain control of the epidemic and minimize the risk of resurgence.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.202169

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.202169