Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study
Background: The World Health Organization declared the novel coronavirus outbreak (COVID-19) to be a pandemic on March 11, 2020. Large-scale monitoring for capturing the current epidemiological situation of COVID-19 in Japan would improve preparation for and prevention of a massive outbreak. Methods...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Japan Epidemiological Association
2020-08-01
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| Series: | Journal of Epidemiology |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jea/30/8/30_JE20200150/_pdf |
| _version_ | 1818515304589819904 |
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| author | Daisuke Yoneoka Takayuki Kawashima Yuta Tanoue Shuhei Nomura Keisuke Ejima Shoi Shi Akifumi Eguchi Toshibumi Taniguchi Haruka Sakamoto Hiroyuki Kunishima Stuart Gilmour Hiroshi Nishiura Hiroaki Miyata |
| author_facet | Daisuke Yoneoka Takayuki Kawashima Yuta Tanoue Shuhei Nomura Keisuke Ejima Shoi Shi Akifumi Eguchi Toshibumi Taniguchi Haruka Sakamoto Hiroyuki Kunishima Stuart Gilmour Hiroshi Nishiura Hiroaki Miyata |
| author_sort | Daisuke Yoneoka |
| collection | DOAJ |
| description | Background: The World Health Organization declared the novel coronavirus outbreak (COVID-19) to be a pandemic on March 11, 2020. Large-scale monitoring for capturing the current epidemiological situation of COVID-19 in Japan would improve preparation for and prevention of a massive outbreak. Methods: A chatbot-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was developed using the LINE app to evaluate the current Japanese epidemiological situation. LINE users could participate in the system either though a QR code page in the prefectures’ websites or a banner at the top of the LINE app screen. COOPERA asked participants questions regarding personal information, preventive actions, and non-specific symptoms related to COVID-19 and their duration. We calculated daily cross correlation functions between the reported number of infected cases confirmed using polymerase chain reaction and the symptom-positive group captured by COOPERA. Results: We analyzed 206,218 participants from three prefectures reported between March 5 and 30, 2020. The mean age of participants was 44.2 (standard deviation, 13.2) years. No symptoms were reported by 96.93% of participants, but there was a significantly positive correlation between the reported number of COVID-19 cases and self-reported fevers, suggesting that massive monitoring of fever might help to estimate the scale of the COVID-19 epidemic in real time. Conclusions: COOPERA is the first real-time system being used to monitor trends in COVID-19 in Japan and provides useful insights to assist political decisions to tackle the epidemic. |
| first_indexed | 2024-12-11T00:27:14Z |
| format | Article |
| id | doaj.art-bc186bb4253c4b10b54ebcff842a79cb |
| institution | Directory Open Access Journal |
| issn | 0917-5040 1349-9092 |
| language | English |
| last_indexed | 2024-12-11T00:27:14Z |
| publishDate | 2020-08-01 |
| publisher | Japan Epidemiological Association |
| record_format | Article |
| series | Journal of Epidemiology |
| spelling | doaj.art-bc186bb4253c4b10b54ebcff842a79cb2022-12-22T01:27:31ZengJapan Epidemiological AssociationJournal of Epidemiology0917-50401349-90922020-08-0130836237010.2188/jea.JE20200150Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational StudyDaisuke Yoneoka0Takayuki Kawashima1Yuta Tanoue2Shuhei Nomura3Keisuke Ejima4Shoi Shi5Akifumi Eguchi6Toshibumi Taniguchi7Haruka Sakamoto8Hiroyuki Kunishima9Stuart Gilmour10Hiroshi Nishiura11Hiroaki Miyata12Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USADepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, JapanDepartment of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba University, Chiba, JapanDepartment of Infectious Diseases, Chiba University, Chiba, JapanDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanDepartment of Infectious Diseases, St. Marianna University, Kanagawa, JapanGraduate School of Public Health, St. Luke’s International University, Tokyo, JapanGraduate School of Medicine, Hokkaido University, Hokkaido, JapanDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, JapanBackground: The World Health Organization declared the novel coronavirus outbreak (COVID-19) to be a pandemic on March 11, 2020. Large-scale monitoring for capturing the current epidemiological situation of COVID-19 in Japan would improve preparation for and prevention of a massive outbreak. Methods: A chatbot-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was developed using the LINE app to evaluate the current Japanese epidemiological situation. LINE users could participate in the system either though a QR code page in the prefectures’ websites or a banner at the top of the LINE app screen. COOPERA asked participants questions regarding personal information, preventive actions, and non-specific symptoms related to COVID-19 and their duration. We calculated daily cross correlation functions between the reported number of infected cases confirmed using polymerase chain reaction and the symptom-positive group captured by COOPERA. Results: We analyzed 206,218 participants from three prefectures reported between March 5 and 30, 2020. The mean age of participants was 44.2 (standard deviation, 13.2) years. No symptoms were reported by 96.93% of participants, but there was a significantly positive correlation between the reported number of COVID-19 cases and self-reported fevers, suggesting that massive monitoring of fever might help to estimate the scale of the COVID-19 epidemic in real time. Conclusions: COOPERA is the first real-time system being used to monitor trends in COVID-19 in Japan and provides useful insights to assist political decisions to tackle the epidemic.https://www.jstage.jst.go.jp/article/jea/30/8/30_JE20200150/_pdfcovid-19japanlarge-scale monitoring system |
| spellingShingle | Daisuke Yoneoka Takayuki Kawashima Yuta Tanoue Shuhei Nomura Keisuke Ejima Shoi Shi Akifumi Eguchi Toshibumi Taniguchi Haruka Sakamoto Hiroyuki Kunishima Stuart Gilmour Hiroshi Nishiura Hiroaki Miyata Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study Journal of Epidemiology covid-19 japan large-scale monitoring system |
| title | Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |
| title_full | Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |
| title_fullStr | Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |
| title_full_unstemmed | Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |
| title_short | Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |
| title_sort | early sns based monitoring system for the covid 19 outbreak in japan a population level observational study |
| topic | covid-19 japan large-scale monitoring system |
| url | https://www.jstage.jst.go.jp/article/jea/30/8/30_JE20200150/_pdf |
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