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Assessing the regional impact of Japan’s COVID-19 state of emergency declaration: a population-level observational study using social networking services
- Source :
- BMJ Open, Vol 11, Iss 2 (2021), BMJ Open
- Publication Year :
- 2021
- Publisher :
- BMJ Publishing Group, 2021.
-
Abstract
- ObjectiveOn 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.DesignCohort study.SettingSocial networking service (SNS)-based online survey conducted in five prefectures of Japan: Tottori, Kagawa, Shimane, Tokushima and Okayama.Participants127 121 participants from the five prefectures surveyed between 24 March and 5 May 2020.InterventionsAn 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 measuresEmpirical 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.Results97.8% 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.ConclusionsGiven 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.
- Subjects :
- Adult
Male
Adolescent
Epidemiology
media_common.quotation_subject
Psychological intervention
Declaration
030204 cardiovascular system & hematology
infectious diseases
Social Networking
Cohort Studies
Young Adult
03 medical and health sciences
0302 clinical medicine
Japan
Environmental health
Humans
Medicine
030212 general & internal medicine
Empowerment
Health policy
Aged
media_common
Aged, 80 and over
Government
business.industry
COVID-19
Bayes Theorem
health policy
General Medicine
Middle Aged
Epidemiological Monitoring
Female
Observational study
business
Cohort study
Subjects
Details
- Language :
- English
- ISSN :
- 20446055
- Volume :
- 11
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- BMJ Open
- Accession number :
- edsair.doi.dedup.....9a4bf873409cbd81472de1b042f50164