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10.3233/SHTI210342 http://scihub22266oqcxt.onion/10.3233/SHTI210342 34042836!ä!34042836 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34042836&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2021 ; 281 (ä): 1036-1040 Nephropedia Template TP {{tp|p=34042836|t=2021. Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea |pdf=|usr=}}{{34042836}} gab.com Text Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042836 #FOAvip This study merges multiple COVID-19 data sources from news articles and social media to propose an integrated infodemic surveillance system (IISS) that implements infodemiology for a well-tailored epidemic management policy. IISS is an a-la-carte infodemic surveillance solution that enables users to gauge the epidemic related consensus, which compiles epidemic-related data from multiple sources and equipped with various methodological toolkits - topic modeling, Word2Vec, and social network analysis. IISS can provide reliable empirical evidence for proper policymaking. We demonstrate the heuristic utilities of IISS using empirical data from the first wave of COVID-19 in South Korea. Measuring discourse congruence allows us to gauge the distance between the discourse corpus from different sources, which can highlight consensus and conflicts in epidemic discourse. Furthermore, IISS detects discrepancies between social concerns and main actors. Twit Text FOAVip Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042836 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34042836 #FOAvip English Wikipedia <ref>{{Cite pmid|34042836}}</ref> Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea #MMPMID34042836 Park GS; Bae J; Lee JH; Yun BY; Lee B; Shin EK Stud Health Technol Inform 2021[May]; 281 (ä): 1036-1040 PMID34042836show ga This study merges multiple COVID-19 data sources from news articles and social media to propose an integrated infodemic surveillance system (IISS) that implements infodemiology for a well-tailored epidemic management policy. IISS is an a-la-carte infodemic surveillance solution that enables users to gauge the epidemic related consensus, which compiles epidemic-related data from multiple sources and equipped with various methodological toolkits - topic modeling, Word2Vec, and social network analysis. IISS can provide reliable empirical evidence for proper policymaking. We demonstrate the heuristic utilities of IISS using empirical data from the first wave of COVID-19 in South Korea. Measuring discourse congruence allows us to gauge the distance between the discourse corpus from different sources, which can highlight consensus and conflicts in epidemic discourse. Furthermore, IISS detects discrepancies between social concerns and main actors. |*COVID-19[MESH] |*Epidemics[MESH] |*Social Media[MESH] |Humans[MESH] |Republic of Korea/epidemiology[MESH]Integrated Infodemic Surveillance System: The Case of COVID-19 in Sout(epmc).pdf DeepDyve Pubget Overpricing