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10.1136/bmjhci-2020-100133 http://scihub22266oqcxt.onion/10.1136/bmjhci-2020-100133 33214193!7678227!33214193     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMJ+Health+Care+Inform 2020 ; 27 (3): ä Nephropedia Template TP {{tp|p=33214193|t=2020. What people share about the COVID-19 outbreak on Twitter? An exploratory analysis |pdf=|usr=}}{{33214193}} gab.com Text What people share about the COVID-19 outbreak on Twitter An exploratory analysis JO: BMJ Health Care Inform http://www.kidney.de/pget.php?&tw=1&pmid=33214193 #FOAvip BACKGROUND: The recent outbreak of respiratory illness caused by COVID-19 in Wuhan, China, has received global attention as it has infected thousands of individuals there, and later it has also been reported from other countries internationally. This study aims at performing an exploratory study on Twitter to understand the information shared among the community regarding the COVID-19 outbreak. METHODS: COVID-19 related tweets were collected from Twitter using keywords from 18 January to 25 January 2020. Top-ranking tweets were taken as samples and then categorised based on the content. Expressions or opinion tweets were analysed qualitatively to understand the mindset of the people regarding the outbreak. Theme wise reachability evaluation of the messages was also performed. RESULTS: Based on the content of the tweets, five themes were evolved: (1) general information; (2) health information; (3) expressions; (4) humour and (5) others. 57.42% of messages are general information followed by expressive tweets (24.12%). Humorous messages were liked the most, whereas health information tweets were retweeted the maximum. Fear was the predominant emotion expressed in the messages. CONCLUSION: The results of the study would be useful to focus on the dissemination of the right information and effective communication on Twitter related to health and outbreak management. Twit Text FOAVip What people share about the COVID-19 outbreak on Twitter An exploratory analysis ????BMJ Health Care Inform http://www.kidney.de/pget.php?&tw=1&pmid=33214193 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33214193 #FOAvip English Wikipedia <ref>{{Cite pmid|33214193}}</ref> What people share about the COVID-19 outbreak on Twitter? An exploratory analysis #MMPMID33214193 Karmegam D; Mapillairaju B BMJ Health Care Inform 2020[Nov]; 27 (3): ä PMID33214193show ga BACKGROUND: The recent outbreak of respiratory illness caused by COVID-19 in Wuhan, China, has received global attention as it has infected thousands of individuals there, and later it has also been reported from other countries internationally. This study aims at performing an exploratory study on Twitter to understand the information shared among the community regarding the COVID-19 outbreak. METHODS: COVID-19 related tweets were collected from Twitter using keywords from 18 January to 25 January 2020. Top-ranking tweets were taken as samples and then categorised based on the content. Expressions or opinion tweets were analysed qualitatively to understand the mindset of the people regarding the outbreak. Theme wise reachability evaluation of the messages was also performed. RESULTS: Based on the content of the tweets, five themes were evolved: (1) general information; (2) health information; (3) expressions; (4) humour and (5) others. 57.42% of messages are general information followed by expressive tweets (24.12%). Humorous messages were liked the most, whereas health information tweets were retweeted the maximum. Fear was the predominant emotion expressed in the messages. CONCLUSION: The results of the study would be useful to focus on the dissemination of the right information and effective communication on Twitter related to health and outbreak management. |*Attitude to Health[MESH] |*Health Behavior[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/*psychology[MESH] |Humans[MESH] |Information Dissemination/methods[MESH] |Pandemics[MESH] |Pneumonia, Viral/*psychology[MESH] |Social Media/*statistics & numerical data[MESH]What people share about the COVID-19 outbreak on Twitter? An explorato(epmc).pdf DeepDyve Pubget Overpricing