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.

10.1007/s10708-020-10278-1 http://scihub22266oqcxt.onion/10.1007/s10708-020-10278-1 32836703!7425795!32836703     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       GeoJournal 2022 ; 87 (2): 733-747 Nephropedia Template TP {{tp|p=32836703|t=2022. Early geography of the coronavirus disease outbreak in Nigeria |pdf=|usr=}}{{32836703}} gab.com Text Early geography of the coronavirus disease outbreak in Nigeria JO: GeoJournal http://www.kidney.de/pget.php?&tw=1&pmid=32836703 #FOAvip An understanding of the COVID-19 spread is growing around the world, yet little is known of Africa. This paper explores the time-space geographies of COVID-19 infection focusing on Africa and Nigeria especially. We appraise the global-to-local situation of confirmed cases, deaths and recoveries as well as measures engaged in response to the pandemic. Findings reveal that South Africa accounts for 40% of the total confirmed cases in Africa, followed by Egypt (18%), Nigeria (6.8%), Ghana (4.6%) and Algeria (3.6). Our study shows a significant relationship between population density and COVID-19 cases in Nigeria (R(2) = 0.76; y = 2.43x - 268.7). This expression suggests that high population densities catalyze the spread of COVID-19. While Nigeria has only recorded about 25,964 cases as at the time of writing, the country is struggling to match pressures from rising cases as a result of existing disparities in health care systems. Twit Text FOAVip Early geography of the coronavirus disease outbreak in Nigeria ????GeoJournal http://www.kidney.de/pget.php?&tw=1&pmid=32836703 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32836703 #FOAvip English Wikipedia <ref>{{Cite pmid|32836703}}</ref> Early geography of the coronavirus disease outbreak in Nigeria #MMPMID32836703 Olusola A; Olusola B; Onafeso O; Ajiola F; Adelabu S GeoJournal 2022[]; 87 (2): 733-747 PMID32836703show ga An understanding of the COVID-19 spread is growing around the world, yet little is known of Africa. This paper explores the time-space geographies of COVID-19 infection focusing on Africa and Nigeria especially. We appraise the global-to-local situation of confirmed cases, deaths and recoveries as well as measures engaged in response to the pandemic. Findings reveal that South Africa accounts for 40% of the total confirmed cases in Africa, followed by Egypt (18%), Nigeria (6.8%), Ghana (4.6%) and Algeria (3.6). Our study shows a significant relationship between population density and COVID-19 cases in Nigeria (R(2) = 0.76; y = 2.43x - 268.7). This expression suggests that high population densities catalyze the spread of COVID-19. While Nigeria has only recorded about 25,964 cases as at the time of writing, the country is struggling to match pressures from rising cases as a result of existing disparities in health care systems. äEarly geography of the coronavirus disease outbreak in Nigeria (epmc).pdf DeepDyve Pubget Overpricing