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10.2188/jea.JE20200150 http://scihub22266oqcxt.onion/10.2188/jea.JE20200150 32475884!7348074!32475884     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32475884&cmd=llinks): Failed to open stream: HTTP request failed! 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Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study |pdf=|usr=}}{{32475884}} gab.com Text Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study JO: J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32475884 #FOAvip 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. Twit Text FOAVip Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study ????J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32475884 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32475884 #FOAvip English Wikipedia <ref>{{Cite pmid|32475884}}</ref> Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: A Population-Level Observational Study #MMPMID32475884 Yoneoka D; Kawashima T; Tanoue Y; Nomura S; Ejima K; Shi S; Eguchi A; Taniguchi T; Sakamoto H; Kunishima H; Gilmour S; Nishiura H; Miyata H J Epidemiol 2020[Aug]; 30 (8): 362-370 PMID32475884show ga 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. |*Epidemiological Monitoring[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*prevention & control[MESH] |Disease Outbreaks/*prevention & control[MESH] |Female[MESH] |Humans[MESH] |Japan/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control[MESH]Early SNS-Based Monitoring System for the COVID-19 Outbreak in Japan: (epmc).pdf DeepDyve Pubget Overpricing