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10.2196/25010 http://scihub22266oqcxt.onion/10.2196/25010 33939624!8208470!33939624     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JMIR+Form+Res 2021 ; 5 (6): e25010 Nephropedia Template TP {{tp|p=33939624|t=2021. Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users Attitudes Toward Smoking: Observational Study |pdf=|usr=}}{{33939624}} gab.com Text Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users Attitudes Toward Smoking: Observational Study JO: JMIR Form Res http://www.kidney.de/pget.php?&tw=1&pmid=33939624 #FOAvip BACKGROUND: A cross-sectional study (Miyara et al, 2020) conducted by French researchers showed that the rate of current daily smoking was significantly lower in patients with COVID-19 than in the French general population, implying a potentially protective effect of smoking. OBJECTIVE: We aimed to examine the dissemination of the Miyara et al study among Twitter users and whether a shift in their attitudes toward smoking occurred after its publication as preprint on April 21, 2020. METHODS: Twitter posts were crawled between April 14 and May 4, 2020, by the Tweepy stream application programming interface, using a COVID-19-related keyword query. After filtering, the final 1929 tweets were classified into three groups: (1) tweets that were not related to the Miyara et al study before it was published, (2) tweets that were not related to Miyara et al study after it was published, and (3) tweets that were related to Miyara et al study after it was published. The attitudes toward smoking, as expressed in the tweets, were compared among the above three groups using multinomial logistic regression models in the statistical analysis software R (The R Foundation). RESULTS: Temporal analysis showed a peak in the number of tweets discussing the results from the Miyara et al study right after its publication. Multinomial logistic regression models on sentiment scores showed that the proportion of negative attitudes toward smoking in tweets related to the Miyara et al study after it was published (17.07%) was significantly lower than the proportion in tweets that were not related to the Miyara et al study, either before (44/126, 34.9%; P<.001) or after the Miyara et al study was published (68/198, 34.3%; P<.001). CONCLUSIONS: The public's attitude toward smoking shifted in a positive direction after the Miyara et al study found a lower incidence of COVID-19 cases among daily smokers. Twit Text FOAVip Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users Attitudes Toward Smoking: Observational Study ????JMIR Form Res http://www.kidney.de/pget.php?&tw=1&pmid=33939624 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33939624 #FOAvip English Wikipedia <ref>{{Cite pmid|33939624}}</ref> Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users Attitudes Toward Smoking: Observational Study #MMPMID33939624 Tao C; Diaz D; Xie Z; Chen L; Li D; O'Connor R JMIR Form Res 2021[Jun]; 5 (6): e25010 PMID33939624show ga BACKGROUND: A cross-sectional study (Miyara et al, 2020) conducted by French researchers showed that the rate of current daily smoking was significantly lower in patients with COVID-19 than in the French general population, implying a potentially protective effect of smoking. OBJECTIVE: We aimed to examine the dissemination of the Miyara et al study among Twitter users and whether a shift in their attitudes toward smoking occurred after its publication as preprint on April 21, 2020. METHODS: Twitter posts were crawled between April 14 and May 4, 2020, by the Tweepy stream application programming interface, using a COVID-19-related keyword query. After filtering, the final 1929 tweets were classified into three groups: (1) tweets that were not related to the Miyara et al study before it was published, (2) tweets that were not related to Miyara et al study after it was published, and (3) tweets that were related to Miyara et al study after it was published. The attitudes toward smoking, as expressed in the tweets, were compared among the above three groups using multinomial logistic regression models in the statistical analysis software R (The R Foundation). RESULTS: Temporal analysis showed a peak in the number of tweets discussing the results from the Miyara et al study right after its publication. Multinomial logistic regression models on sentiment scores showed that the proportion of negative attitudes toward smoking in tweets related to the Miyara et al study after it was published (17.07%) was significantly lower than the proportion in tweets that were not related to the Miyara et al study, either before (44/126, 34.9%; P<.001) or after the Miyara et al study was published (68/198, 34.3%; P<.001). CONCLUSIONS: The public's attitude toward smoking shifted in a positive direction after the Miyara et al study found a lower incidence of COVID-19 cases among daily smokers. äPotential Impact of a Paper About COVID-19 and Smoking on Twitter User(epmc).pdf DeepDyve Pubget Overpricing