Literature DB >> 36119783

Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic.

Kayoko Hayakawa1,2, Yusuke Asai2, Nobuaki Matsunaga2, Shinya Tsuzuki2,3, Mari Terada1,4, Setsuko Suzuki1, Koji Kitajima4, Sho Saito1, Norio Ohmagari1,2.   

Abstract

The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined the representativeness of COVIREGI-JP data in comparison to open-source national data. The number of infections and deaths among hospitalized COVID-19 patients in COVIREGI-JP were compared to those in national data recorded during the six waves of the COVID-19 epidemic until March 6, 2022. During the period studied, patients in COVIREGI-JP represented 1% of the total COVID-19 cases according to national data; the proportion was high during the first wave (32.7%) and tended to decrease, especially after the fourth wave. The overall proportion of patients from each region varied from 0.8% to 2.5%, but case fatality rates in COVIREGI-JP tended to be higher than those in the national data, with the exception of a few waves, in several regions. The difference was smallest during the first wave. Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted. 2022, National Center for Global Health and Medicine.

Entities:  

Keywords:  COVIREGI-JP; epidemiology of COVID-19; pandemic; selection bias

Year:  2022        PMID: 36119783      PMCID: PMC9420330          DOI: 10.35772/ghm.2022.01033

Source DB:  PubMed          Journal:  Glob Health Med        ISSN: 2434-9186


  4 in total

1.  Hospital capacity during the COVID-19 pandemic.

Authors:  Norihiro Kokudo; Haruhito Sugiyama
Journal:  Glob Health Med       Date:  2021-04-30

2.  Clinical Epidemiology of Hospitalized Patients With Coronavirus Disease 2019 (COVID-19) in Japan: Report of the COVID-19 Registry Japan.

Authors:  Nobuaki Matsunaga; Kayoko Hayakawa; Mari Terada; Hiroshi Ohtsu; Yusuke Asai; Shinya Tsuzuki; Setsuko Suzuki; Ako Toyoda; Kumiko Suzuki; Mio Endo; Naoki Fujii; Michiyo Suzuki; Sho Saito; Yukari Uemura; Taro Shibata; Masashi Kondo; Kazuo Izumi; Junko Terada-Hirashima; Ayako Mikami; Wataru Sugiura; Norio Ohmagari
Journal:  Clin Infect Dis       Date:  2021-12-06       Impact factor: 9.079

3.  Clinical characteristics of the first three waves of hospitalised patients with COVID-19 in Japan prior to the widespread use of vaccination: a nationwide observational study.

Authors:  Nobuaki Matsunaga; Kayoko Hayakawa; Yusuke Asai; Shinya Tsuzuki; Mari Terada; Setsuko Suzuki; Hiroshi Ohtsu; Koji Kitajima; Ako Toyoda; Kumiko Suzuki; Michiyo Suzuki; Sho Saito; Yukari Uemura; Taro Shibata; Masashi Kondo; Fukumi Nakamura-Uchiyama; Kazuhisa Yokota; Fumitake Saito; Kazuo Izumi; Wataru Sugiura; Norio Ohmagari
Journal:  Lancet Reg Health West Pac       Date:  2022-03-16

4.  Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan.

Authors:  Mari Terada; Hiroshi Ohtsu; Sho Saito; Kayoko Hayakawa; Shinya Tsuzuki; Yusuke Asai; Nobuaki Matsunaga; Satoshi Kutsuna; Wataru Sugiura; Norio Ohmagari
Journal:  BMJ Open       Date:  2021-06-15       Impact factor: 2.692

  4 in total

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