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10.1038/s41746-021-00405-8 http://scihub22266oqcxt.onion/10.1038/s41746-021-00405-8 33608660!7895981!33608660     free     free     free 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       NPJ+Digit+Med 2021 ; 4 (1): 30 Nephropedia Template TP {{tp|p=33608660|t=2021. Population subgroup differences in the use of a COVID-19 chatbot |pdf=|usr=}}{{33608660}} gab.com Text Population subgroup differences in the use of a COVID-19 chatbot JO: NPJ Digit Med http://www.kidney.de/pget.php?&tw=1&pmid=33608660 #FOAvip COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69,451 (6.94%) of which agreed to participate, shows differences in chatbot feature use by gender, race, and age. These results can inform future public health COVID-19 symptom screening and information dissemination strategies. Twit Text FOAVip Population subgroup differences in the use of a COVID-19 chatbot ????NPJ Digit Med http://www.kidney.de/pget.php?&tw=1&pmid=33608660 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33608660 #FOAvip English Wikipedia <ref>{{Cite pmid|33608660}}</ref> Population subgroup differences in the use of a COVID-19 chatbot #MMPMID33608660 Schubel LC; Wesley DB; Booker E; Lock J; Ratwani RM NPJ Digit Med 2021[Feb]; 4 (1): 30 PMID33608660show ga COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69,451 (6.94%) of which agreed to participate, shows differences in chatbot feature use by gender, race, and age. These results can inform future public health COVID-19 symptom screening and information dissemination strategies. äPopulation subgroup differences in the use of a COVID-19 chatbot (epmc).pdf DeepDyve Pubget Overpricing