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10.1016/j.healthpol.2021.01.001 http://scihub22266oqcxt.onion/10.1016/j.healthpol.2021.01.001 33487479!ä!33487479 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Health+Policy 2021 ; 125 (4): 541-547 Nephropedia Template TP {{tp|p=33487479|t=2021. #Covid-19: An exploratory investigation of hashtag usage on Twitter |pdf=|usr=}}{{33487479}} gab.com Text #Covid-19: An exploratory investigation of hashtag usage on Twitter JO: Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=33487479 #FOAvip BACKGROUND: The literature highlights Twitter as a vital instrument tool for health policy-makers for health communication and promotion. Furthermore, Twitter is a tool allowing us to understand the focus of people regarding a topic of interest. OBJECTIVE: To provide health policy-makers with insights concerning key topics of interest in the Twitter community regarding Covid-19, and to support information search and health communication. METHOD: A total of 28.5M tweets have been retrieved, of which 6.9M tweets included hashtags. The data was analyzed using data science and natural language processing libraries. Qualitative analysis was performed using thematic analysis. RESULTS: 907k different hashtags were used. Of these, only 1192 hashtags were used more than 1000 times. The qualitative analysis resulted in 13 themes. The top three themes regarding the number of hashtags used were related to Covid-19, identifying information, interventions, and geographical tagging. We explored the relationship between themes and showed how health practitioners can understand the communication in relation to specific topics expressed as hashtags (e.g., #stayhome). CONCLUSIONS: The results provide first insights for policy-makers and health practitioners to identify relevant tweets and to choose appropriate hashtags for health communication. The results also show that only with a limited number of Tweets (10 per day) health organizations could have been among the top users. Twit Text FOAVip #Covid-19: An exploratory investigation of hashtag usage on Twitter ????Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=33487479 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33487479 #FOAvip English Wikipedia <ref>{{Cite pmid|33487479}}</ref> #Covid-19: An exploratory investigation of hashtag usage on Twitter #MMPMID33487479 Petersen K; Gerken JM Health Policy 2021[Apr]; 125 (4): 541-547 PMID33487479show ga BACKGROUND: The literature highlights Twitter as a vital instrument tool for health policy-makers for health communication and promotion. Furthermore, Twitter is a tool allowing us to understand the focus of people regarding a topic of interest. OBJECTIVE: To provide health policy-makers with insights concerning key topics of interest in the Twitter community regarding Covid-19, and to support information search and health communication. METHOD: A total of 28.5M tweets have been retrieved, of which 6.9M tweets included hashtags. The data was analyzed using data science and natural language processing libraries. Qualitative analysis was performed using thematic analysis. RESULTS: 907k different hashtags were used. Of these, only 1192 hashtags were used more than 1000 times. The qualitative analysis resulted in 13 themes. The top three themes regarding the number of hashtags used were related to Covid-19, identifying information, interventions, and geographical tagging. We explored the relationship between themes and showed how health practitioners can understand the communication in relation to specific topics expressed as hashtags (e.g., #stayhome). CONCLUSIONS: The results provide first insights for policy-makers and health practitioners to identify relevant tweets and to choose appropriate hashtags for health communication. The results also show that only with a limited number of Tweets (10 per day) health organizations could have been among the top users. |*COVID-19[MESH] |*Communication[MESH] |*Health Policy[MESH] |Humans[MESH] |Natural Language Processing[MESH]#Covid-19: An exploratory investigation of hashtag usage on Twitter (epmc).pdf DeepDyve Pubget Overpricing