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10.4269/ajtmh.20-0812 http://scihub22266oqcxt.onion/10.4269/ajtmh.20-0812 32783794!7543839!32783794     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Trop+Med+Hyg 2020 ; 103 (4): 1621-1629 Nephropedia Template TP {{tp|p=32783794|t=2020. COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis |pdf=|usr=}}{{32783794}} gab.com Text COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis JO: Am J Trop Med Hyg http://www.kidney.de/pget.php?&tw=1&pmid=32783794 #FOAvip Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19-related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation. Twit Text FOAVip COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis ????Am J Trop Med Hyg http://www.kidney.de/pget.php?&tw=1&pmid=32783794 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32783794 #FOAvip English Wikipedia <ref>{{Cite pmid|32783794}}</ref> COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis #MMPMID32783794 Islam MS; Sarkar T; Khan SH; Mostofa Kamal AH; Hasan SMM; Kabir A; Yeasmin D; Islam MA; Amin Chowdhury KI; Anwar KS; Chughtai AA; Seale H Am J Trop Med Hyg 2020[Oct]; 103 (4): 1621-1629 PMID32783794show ga Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19-related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation. |*Betacoronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |*Public Health/trends[MESH] |*Social Media/standards/trends[MESH] |COVID-19[MESH] |Data Analysis[MESH] |Data Collection/methods[MESH] |Global Health[MESH] |Humans[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH] |Social Discrimination/psychology[MESH]COVID-19-Related Infodemic and Its Impact on Public Health: A Global S(epmc).pdf DeepDyve Pubget Overpricing