Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.2196/18811 http://scihub22266oqcxt.onion/10.2196/18811 32252023!7162649!32252023     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       JMIR+Public+Health+Surveill 2020 ; 6 (2): e18811 Nephropedia Template TP {{tp|p=32252023|t=2020. Interpreting COVID-19 and Virtual Care Trends: Cohort Study |pdf=|usr=}}{{32252023}} gab.com Text Interpreting COVID-19 and Virtual Care Trends: Cohort Study JO: JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32252023 #FOAvip BACKGROUND: The coronavirus disease (COVID-19) pandemic is rapidly spreading across the world. As of March 26, 2020, there are more than 500,000 cases and more than 25,000 deaths related to COVID-19, and the numbers are increasing by the hour. OBJECTIVE: The aim of this study was to explore the trends in confirmed COVID-19 cases in North Carolina, and to understand patterns in virtual visits related to symptoms of COVID-19. METHODS: We conducted a cohort study of confirmed COVID-19 cases and patients using an on-demand, statewide virtual urgent care center. We collected data from February 1, 2020, to March 15, 2020. Institutional Review Board exemption was obtained prior to the study. RESULTS: As of March, 18 2020, there were 92 confirmed COVID-19 cases and 733 total virtual visits. Of the total visits, 257 (35.1%) were related to COVID-19-like symptoms. Of the COVID-19-like visits, the number of females was 178 (69.2%). People in the age groups of 30-39 years (n=67, 26.1%) and 40-49 years (n=64, 24.9%) were half of the total patients. Additionally, approximately 96.9% (n=249) of the COVID-like encounters came from within the state of North Carolina. Our study shows that virtual care can provide efficient triaging in the counties with the highest number of COVID-19 cases. We also confirmed that the largest spread of the disease occurs in areas with a high population density as well as in areas with major airports. CONCLUSIONS: The use of virtual care presents promising potential in the fight against COVID-19. Virtual care is capable of reducing emergency room visits, conserving health care resources, and avoiding the spread of COVID-19 by treating patients remotely. We call for further adoption of virtual care by health systems across the United States and the world during the COVID-19 pandemic. Twit Text FOAVip Interpreting COVID-19 and Virtual Care Trends: Cohort Study ????JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32252023 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32252023 #FOAvip English Wikipedia <ref>{{Cite pmid|32252023}}</ref> Interpreting COVID-19 and Virtual Care Trends: Cohort Study #MMPMID32252023 Khairat S; Meng C; Xu Y; Edson B; Gianforcaro R JMIR Public Health Surveill 2020[Apr]; 6 (2): e18811 PMID32252023show ga BACKGROUND: The coronavirus disease (COVID-19) pandemic is rapidly spreading across the world. As of March 26, 2020, there are more than 500,000 cases and more than 25,000 deaths related to COVID-19, and the numbers are increasing by the hour. OBJECTIVE: The aim of this study was to explore the trends in confirmed COVID-19 cases in North Carolina, and to understand patterns in virtual visits related to symptoms of COVID-19. METHODS: We conducted a cohort study of confirmed COVID-19 cases and patients using an on-demand, statewide virtual urgent care center. We collected data from February 1, 2020, to March 15, 2020. Institutional Review Board exemption was obtained prior to the study. RESULTS: As of March, 18 2020, there were 92 confirmed COVID-19 cases and 733 total virtual visits. Of the total visits, 257 (35.1%) were related to COVID-19-like symptoms. Of the COVID-19-like visits, the number of females was 178 (69.2%). People in the age groups of 30-39 years (n=67, 26.1%) and 40-49 years (n=64, 24.9%) were half of the total patients. Additionally, approximately 96.9% (n=249) of the COVID-like encounters came from within the state of North Carolina. Our study shows that virtual care can provide efficient triaging in the counties with the highest number of COVID-19 cases. We also confirmed that the largest spread of the disease occurs in areas with a high population density as well as in areas with major airports. CONCLUSIONS: The use of virtual care presents promising potential in the fight against COVID-19. Virtual care is capable of reducing emergency room visits, conserving health care resources, and avoiding the spread of COVID-19 by treating patients remotely. We call for further adoption of virtual care by health systems across the United States and the world during the COVID-19 pandemic. |*Pandemics[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |COVID-19[MESH] |Child[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*diagnosis/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |North Carolina/epidemiology[MESH] |Pneumonia, Viral/*diagnosis/epidemiology[MESH] |Telemedicine/*trends[MESH]Interpreting COVID-19 and Virtual Care Trends: Cohort Study (epmc).pdf DeepDyve Pubget Overpricing