Integration of publicly available case-based data for real-time coronavirus disease 2019 risk assessment, Japan
(c) 2022 The authors; licensee World Health Organization..
In response to the outbreak of coronavirus disease 2019 (COVID-19) in Japan, a national COVID-19 cluster taskforce (comprising governmental and nongovernmental experts) was established to support the country's Ministry of Health, Labour and Welfare in conducting daily risk assessment. The assessment was carried out using established infectious disease surveillance systems; however, in the initial stages of the pandemic these were not sufficient for real-time risk assessment owing to limited accessibility, delay in data entry and inadequate case information. Also, local governments were publishing anonymized data on confirmed COVID-19 cases on their official web sites as daily press releases. We developed a unique database for nationwide real-time risk assessment that included these case lists from local government web sites and integrated all case data into a standardized format. The database was updated daily and checked systematically to ensure comprehensiveness and quality. Between 15 January 2020 and 15 June 2021, 776 459 cases were logged in the database, allowing for analysis of real-time risk from the pandemic. This semi-automated database was used in daily risk assessments, and to evaluate and update control measures to prevent community transmission of COVID-19 in Japan. The data were reported almost every week to the Japanese Government Advisory Panel on COVID-19 for public health responses.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
Western Pacific surveillance and response journal : WPSAR - 13(2022), 1 vom: 30. Jan., Seite 1-6 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ninomiya, Kota [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 03.05.2022 Date Revised 03.05.2022 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.5365/wpsar.2022.13.1.889 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM340231874 |
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| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a (c) 2022 The authors; licensee World Health Organization. | ||
| 520 | |a In response to the outbreak of coronavirus disease 2019 (COVID-19) in Japan, a national COVID-19 cluster taskforce (comprising governmental and nongovernmental experts) was established to support the country's Ministry of Health, Labour and Welfare in conducting daily risk assessment. The assessment was carried out using established infectious disease surveillance systems; however, in the initial stages of the pandemic these were not sufficient for real-time risk assessment owing to limited accessibility, delay in data entry and inadequate case information. Also, local governments were publishing anonymized data on confirmed COVID-19 cases on their official web sites as daily press releases. We developed a unique database for nationwide real-time risk assessment that included these case lists from local government web sites and integrated all case data into a standardized format. The database was updated daily and checked systematically to ensure comprehensiveness and quality. Between 15 January 2020 and 15 June 2021, 776 459 cases were logged in the database, allowing for analysis of real-time risk from the pandemic. This semi-automated database was used in daily risk assessments, and to evaluate and update control measures to prevent community transmission of COVID-19 in Japan. The data were reported almost every week to the Japanese Government Advisory Panel on COVID-19 for public health responses | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Kanamori, Mariko |e verfasserin |4 aut | |
| 700 | 1 | |a Ikeda, Naomi |e verfasserin |4 aut | |
| 700 | 1 | |a Jindai, Kazuaki |e verfasserin |4 aut | |
| 700 | 1 | |a Ko, Yura K |e verfasserin |4 aut | |
| 700 | 1 | |a Otani, Kanako |e verfasserin |4 aut | |
| 700 | 1 | |a Furuse, Yuki |e verfasserin |4 aut | |
| 700 | 1 | |a Akaba, Hiroki |e verfasserin |4 aut | |
| 700 | 1 | |a Miyahara, Reiko |e verfasserin |4 aut | |
| 700 | 1 | |a Saito, Mayuko |e verfasserin |4 aut | |
| 700 | 1 | |a Suzuki, Motoi |e verfasserin |4 aut | |
| 700 | 1 | |a Oshitani, Hitoshi |e verfasserin |4 aut | |
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