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10.1111/nhs.12809 http://scihub22266oqcxt.onion/10.1111/nhs.12809 33404157!ä!33404157 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       Nurs+Health+Sci 2021 ; 23 (1): 273-278 Nephropedia Template TP {{tp|p=33404157|t=2021. A qualitative analysis of nursing students tweets during the COVID-19 pandemic |pdf=|usr=}}{{33404157}} gab.com Text A qualitative analysis of nursing students tweets during the COVID-19 pandemic JO: Nurs Health Sci http://www.kidney.de/pget.php?&tw=1&pmid=33404157 #FOAvip The COVID-19 outbreak has profoundly changed daily life and the ways in which students learn and interact. This study explores the nature and content of tweets posted by students enrolled in nursing programs (hereafter nursing students) in the United Kingdom, the United States, and South Korea during the COVID-19 pandemic between March 4 and April 7, 2020. A total of 8856 tweets from the Twitter accounts of 95 self-identified nursing students were included in our qualitative analysis. The findings revealed five categories of tweet content: (i) reactions to COVID-19; (ii) everyday life; (iii) role as a student; (iv) social connections; and (v) sociopolitical issues. Students shared concerns about the impact of COVID-19 on their education, discussed their experiences as nursing students, tweeted details of their daily lives, and sought social connections for support as well as for information sharing. The findings of this study can inform nurse educators to better understand their students' responses to and sentiments about the COVID-19 pandemic. Nurse educators should incorporate this understanding into curricula for pandemic preparedness and response efforts. Twit Text FOAVip A qualitative analysis of nursing students tweets during the COVID-19 pandemic ????Nurs Health Sci http://www.kidney.de/pget.php?&tw=1&pmid=33404157 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33404157 #FOAvip English Wikipedia <ref>{{Cite pmid|33404157}}</ref> A qualitative analysis of nursing students tweets during the COVID-19 pandemic #MMPMID33404157 De Gagne JC; Cho E; Park HK; Nam JD; Jung D Nurs Health Sci 2021[Mar]; 23 (1): 273-278 PMID33404157show ga The COVID-19 outbreak has profoundly changed daily life and the ways in which students learn and interact. This study explores the nature and content of tweets posted by students enrolled in nursing programs (hereafter nursing students) in the United Kingdom, the United States, and South Korea during the COVID-19 pandemic between March 4 and April 7, 2020. A total of 8856 tweets from the Twitter accounts of 95 self-identified nursing students were included in our qualitative analysis. The findings revealed five categories of tweet content: (i) reactions to COVID-19; (ii) everyday life; (iii) role as a student; (iv) social connections; and (v) sociopolitical issues. Students shared concerns about the impact of COVID-19 on their education, discussed their experiences as nursing students, tweeted details of their daily lives, and sought social connections for support as well as for information sharing. The findings of this study can inform nurse educators to better understand their students' responses to and sentiments about the COVID-19 pandemic. Nurse educators should incorporate this understanding into curricula for pandemic preparedness and response efforts. |COVID-19/epidemiology/*psychology[MESH] |Data Mining[MESH] |Humans[MESH] |Pandemics[MESH] |Qualitative Research[MESH] |Republic of Korea[MESH] |SARS-CoV-2[MESH] |Social Media/*statistics & numerical data[MESH] |Students, Nursing/*psychology[MESH] |United Kingdom[MESH]A qualitative analysis of nursing students tweets during the COVID-19(epmc).pdf DeepDyve Pubget Overpricing