Assessing the regional impact of Japan's COVID-19 state of emergency declaration : a population-level observational study using social networking services
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..
OBJECTIVE: On 7 April 2020, the Japanese government declared a state of emergency in response to the novel coronavirus outbreak. To estimate the impact of the declaration on regional cities with low numbers of COVID-19 cases, large-scale surveillance to capture the current epidemiological situation of COVID-19 was urgently conducted in this study.
DESIGN: Cohort study.
SETTING: Social networking service (SNS)-based online survey conducted in five prefectures of Japan: Tottori, Kagawa, Shimane, Tokushima and Okayama.
PARTICIPANTS: 127 121 participants from the five prefectures surveyed between 24 March and 5 May 2020.
INTERVENTIONS: An SNS-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was launched. It asks questions regarding postcode, personal information, preventive actions, and current and past symptoms related to COVID-19.
PRIMARY AND SECONDARY OUTCOME MEASURES: Empirical Bayes estimates of age-sex-standardised incidence rate (EBSIR) of symptoms and the spatial correlation between the number of those who reported having symptoms and the number of COVID-19 cases were examined to identify the geographical distribution of symptoms in the five prefectures.
RESULTS: 97.8% of participants had no subjective symptoms. We identified several geographical clusters of fever with significant spatial correlation (r=0.67) with the number of confirmed COVID-19 cases, especially in the urban centres of prefectural capital cities.
CONCLUSIONS: Given that there are still several high-risk areas measured by EBSIR, careful discussion on which areas should be reopened at the end of the state of emergency is urgently required using real-time SNS system to monitor the nationwide epidemic.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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Enthalten in: |
BMJ open - 11(2021), 2 vom: 15. Feb., Seite e042002 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Yoneoka, Daisuke [VerfasserIn] |
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Links: |
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Themen: |
COVID-19 |
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Anmerkungen: |
Date Completed 25.02.2021 Date Revised 25.02.2021 published: Electronic Citation Status MEDLINE |
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doi: |
10.1136/bmjopen-2020-042002 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM321488555 |
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245 | 1 | 0 | |a Assessing the regional impact of Japan's COVID-19 state of emergency declaration |b a population-level observational study using social networking services |
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520 | |a © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. | ||
520 | |a OBJECTIVE: On 7 April 2020, the Japanese government declared a state of emergency in response to the novel coronavirus outbreak. To estimate the impact of the declaration on regional cities with low numbers of COVID-19 cases, large-scale surveillance to capture the current epidemiological situation of COVID-19 was urgently conducted in this study | ||
520 | |a DESIGN: Cohort study | ||
520 | |a SETTING: Social networking service (SNS)-based online survey conducted in five prefectures of Japan: Tottori, Kagawa, Shimane, Tokushima and Okayama | ||
520 | |a PARTICIPANTS: 127 121 participants from the five prefectures surveyed between 24 March and 5 May 2020 | ||
520 | |a INTERVENTIONS: An SNS-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was launched. It asks questions regarding postcode, personal information, preventive actions, and current and past symptoms related to COVID-19 | ||
520 | |a PRIMARY AND SECONDARY OUTCOME MEASURES: Empirical Bayes estimates of age-sex-standardised incidence rate (EBSIR) of symptoms and the spatial correlation between the number of those who reported having symptoms and the number of COVID-19 cases were examined to identify the geographical distribution of symptoms in the five prefectures | ||
520 | |a RESULTS: 97.8% of participants had no subjective symptoms. We identified several geographical clusters of fever with significant spatial correlation (r=0.67) with the number of confirmed COVID-19 cases, especially in the urban centres of prefectural capital cities | ||
520 | |a CONCLUSIONS: Given that there are still several high-risk areas measured by EBSIR, careful discussion on which areas should be reopened at the end of the state of emergency is urgently required using real-time SNS system to monitor the nationwide epidemic | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Observational Study | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a epidemiology | |
650 | 4 | |a health policy | |
650 | 4 | |a infectious diseases | |
700 | 1 | |a Shi, Shoi |e verfasserin |4 aut | |
700 | 1 | |a Nomura, Shuhei |e verfasserin |4 aut | |
700 | 1 | |a Tanoue, Yuta |e verfasserin |4 aut | |
700 | 1 | |a Kawashima, Takayuki |e verfasserin |4 aut | |
700 | 1 | |a Eguchi, Akifumi |e verfasserin |4 aut | |
700 | 1 | |a Matsuura, Kentaro |e verfasserin |4 aut | |
700 | 1 | |a Makiyama, Koji |e verfasserin |4 aut | |
700 | 1 | |a Uryu, Shinya |e verfasserin |4 aut | |
700 | 1 | |a Ejima, Keisuke |e verfasserin |4 aut | |
700 | 1 | |a Sakamoto, Haruka |e verfasserin |4 aut | |
700 | 1 | |a Taniguchi, Toshibumi |e verfasserin |4 aut | |
700 | 1 | |a Kunishima, Hiroyuki |e verfasserin |4 aut | |
700 | 1 | |a Gilmour, Stuart |e verfasserin |4 aut | |
700 | 1 | |a Nishiura, Hiroshi |e verfasserin |4 aut | |
700 | 1 | |a Miyata, Hiroaki |e verfasserin |4 aut | |
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