About: Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study

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About: Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study
Creator	Nishiura, Hiroshi Ejima, Keisuke Gilmour, Stuart Yoneoka, Daisuke Eguchi, Akifumi Kawashima, Takayuki Kunishima, Hiroyuki Miyata, Hiroaki Nomura, Shuhei Sakamoto, Haruka Shi, Shoi Tanoue, Yuta Taniguchi, Toshibumi
source	Medline; PMC
abstract	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.
has issue date	2020-08-05(xsd:dateTime)
bibo:doi	10.2188/jea.je20200150
bibo:pmid	32475884
has license	cc-by
sha1sum (hex)	3ee218a8f362290695b0a518fc6a7ca7f9ae081f
schema:url	https://doi.org/10.2188/jea.je20200150
resource representing a document's title	Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study
has PubMed Central identifier	PMC7348074
has PubMed identifier	32475884
schema:publication	J Epidemiol
resource representing a document's body	covid:3ee218a8f362290695b0a518fc6a7ca7f9ae081f#body_text
is schema:about of	named entity 'duration' named entity 'World Health Organization' named entity 'Japan' named entity 'Empowerment' named entity 'group' named entity 'prefectures' named entity 'preventive' named entity 'Japan' named entity 'SELF-REPORTED' named entity 'BEING' named entity 'AGE' named entity 'THEIR' named entity 'NUMBER OF' named entity 'PREVENTIVE' named entity 'ACTIONS' named entity 'WORLD HEALTH ORGANIZATION' named entity 'LINE' named entity 'calculated' named entity 'coronavirus outbreak' named entity 'actions' named entity 'March 5' named entity 'Results' named entity 'current' named entity 'correlation functions' named entity 'banner' named entity 'COvid-19' named entity 'improve' named entity 'Operation' named entity 'COVID-19' named entity 'cases' named entity 'massive' named entity 'epidemic' named entity 'COvid-19' named entity 'non-specific symptoms' named entity 'self-reported' named entity 'symptom' named entity 'World Health Organization' named entity 'Japan' named entity 'disinfection' named entity 'COVID' named entity 'comorbidities' named entity 'influenza' named entity 'Aichi' named entity 'COVID' named entity 'Kanagawa Prefecture' named entity 'malignant tumor' named entity 'March 15' named entity 'R Foundation' named entity 'COVID' named entity 'Japan' named entity 'selection bias' named entity 'coughing' named entity 'coronavirus' named entity 'comorbidities' named entity 'immunosuppressants' named entity 'fatigue' named entity 'chatbots' named entity 'epidemiological' named entity 'PCR test' named entity 'health care' named entity 'fever' named entity 'epidemiological' named entity 'recall bias' named entity 'guideposts' named entity 'public health sector' named entity 'Shiga Prefecture' named entity 'Japan' named entity 'selection bias' named entity 'non-specific symptoms'

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