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10.1002/jmv.25850 http://scihub22266oqcxt.onion/10.1002/jmv.25850 32270521!7262105!32270521     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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Virol 2020 ; 92 (9): 1603-1608 Nephropedia Template TP {{tp|p=32270521|t=2020. Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases |pdf=|usr=}}{{32270521}} gab.com Text Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases JO: J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32270521 #FOAvip Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause a nationwide crisis for the country. The aim of this study is to fill a gap between previous studies and the current rate of spreading of COVID-19 by extracting a relationship between independent variables and the dependent ones. This study statistically analyzed the effect of factors such as sex, region, infection reasons, birth year, and released or diseased date on the reported number of recovered and deceased cases. The results found that sex, region, and infection reasons affected both recovered and deceased cases, while birth year affected only the deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases. Twit Text FOAVip Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases ????J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32270521 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32270521 #FOAvip English Wikipedia <ref>{{Cite pmid|32270521}}</ref> Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases #MMPMID32270521 Al-Rousan N; Al-Najjar H J Med Virol 2020[Sep]; 92 (9): 1603-1608 PMID32270521show ga Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause a nationwide crisis for the country. The aim of this study is to fill a gap between previous studies and the current rate of spreading of COVID-19 by extracting a relationship between independent variables and the dependent ones. This study statistically analyzed the effect of factors such as sex, region, infection reasons, birth year, and released or diseased date on the reported number of recovered and deceased cases. The results found that sex, region, and infection reasons affected both recovered and deceased cases, while birth year affected only the deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases. |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*epidemiology/mortality/*virology[MESH] |Disease Outbreaks[MESH] |Factor Analysis, Statistical[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Mortality[MESH] |Patient Outcome Assessment[MESH] |Public Health Surveillance[MESH] |Republic of Korea/epidemiology[MESH] |Risk Factors[MESH] |Sex Factors[MESH]Data analysis of coronavirus COVID-19 epidemic in South Korea based on(epmc).pdf DeepDyve Pubget Overpricing