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10.2147/RMHP.S255793 http://scihub22266oqcxt.onion/10.2147/RMHP.S255793 32581614!7280244!32581614     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       Risk+Manag+Healthc+Policy 2020 ; 13 (ä): 519-522 Nephropedia Template TP {{tp|p=32581614|t=2020. Spatial Analysis of Global Variability in Covid-19 Burden |pdf=|usr=}}{{32581614}} gab.com Text Spatial Analysis of Global Variability in Covid-19 Burden JO: Risk Manag Healthc Policy http://www.kidney.de/pget.php?&tw=1&pmid=32581614 #FOAvip BACKGROUND: Since the first occurrence of coronavirus disease 2019 (Covid-19), a number of online tools have become available to assist with tracking Covid-19 prevalence. Yet we are unaware of resources that provide country-specific Covid-19 incidence data. METHODS: We undertook a descriptive analysis of the global impact of Covid-19 using data reported on March 17, 2020. The prevalence of Covid-19 cases, fatalities attributed to Covid-19, and the case fatality rate for each of the 238 countries were accessed from the World Health Organization global Covid-19 tracking site, and we additionally calculated Covid-19 incidence based on country-specific population data. We determined the country-specific point prevalence and incidence of Covid-19 and associated deaths while using geocoded data to display their spatial distribution with geographic heat maps. RESULTS: The analysis included 193,197 Covid-19 cases and 7859 associated deaths. The point prevalence was highest in China (80,881), Italy (31,506), Iran (16,169), and Spain (11,312); no other country reported more than 10,000 cases. The incidence (per million population) was highest in San Marino (3389) followed by Iceland (645) and Italy (521); no other country had an incidence above 400 per million population. CONCLUSION: Countries with a high Covid-19 prevalence may not have a high incidence, and vice versa. Public health agencies that provide real-time infection tracking tools should report country-specific Covid-19 incidence metrics, in addition to prevalence data. Twit Text FOAVip Spatial Analysis of Global Variability in Covid-19 Burden ????Risk Manag Healthc Policy http://www.kidney.de/pget.php?&tw=1&pmid=32581614 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32581614 #FOAvip English Wikipedia <ref>{{Cite pmid|32581614}}</ref> Spatial Analysis of Global Variability in Covid-19 Burden #MMPMID32581614 Miller LE; Bhattacharyya R; Miller AL Risk Manag Healthc Policy 2020[]; 13 (ä): 519-522 PMID32581614show ga BACKGROUND: Since the first occurrence of coronavirus disease 2019 (Covid-19), a number of online tools have become available to assist with tracking Covid-19 prevalence. Yet we are unaware of resources that provide country-specific Covid-19 incidence data. METHODS: We undertook a descriptive analysis of the global impact of Covid-19 using data reported on March 17, 2020. The prevalence of Covid-19 cases, fatalities attributed to Covid-19, and the case fatality rate for each of the 238 countries were accessed from the World Health Organization global Covid-19 tracking site, and we additionally calculated Covid-19 incidence based on country-specific population data. We determined the country-specific point prevalence and incidence of Covid-19 and associated deaths while using geocoded data to display their spatial distribution with geographic heat maps. RESULTS: The analysis included 193,197 Covid-19 cases and 7859 associated deaths. The point prevalence was highest in China (80,881), Italy (31,506), Iran (16,169), and Spain (11,312); no other country reported more than 10,000 cases. The incidence (per million population) was highest in San Marino (3389) followed by Iceland (645) and Italy (521); no other country had an incidence above 400 per million population. CONCLUSION: Countries with a high Covid-19 prevalence may not have a high incidence, and vice versa. Public health agencies that provide real-time infection tracking tools should report country-specific Covid-19 incidence metrics, in addition to prevalence data. äSpatial Analysis of Global Variability in Covid-19 Burden (epmc).pdf DeepDyve Pubget Overpricing