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10.1155/2020/7291698 http://scihub22266oqcxt.onion/10.1155/2020/7291698 32774918!7395990!32774918     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Pulm+Med 2020 ; 2020 (ä): 7291698 Nephropedia Template TP {{tp|p=32774918|t=2020. Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea |pdf=|usr=}}{{32774918}} gab.com Text Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea JO: Pulm Med http://www.kidney.de/pget.php?&tw=1&pmid=32774918 #FOAvip BACKGROUND: The recent COVID-19 pandemic has emerged as a threat to global health. Though current evidence on the epidemiology of the disease is emerging, very little is known about the predictors of recovery. OBJECTIVES: To describe the epidemiology of confirmed COVID-19 patients in the Republic of Korea and identify predictors of recovery. MATERIALS AND METHODS: Using publicly available data for confirmed COVID-19 cases from the Korea Centers for Disease Control and Prevention from January 20, 2020, to April 30, 2020, we undertook descriptive analyses of cases stratified by sex, age group, place of exposure, date of confirmation, and province. Correlation was tested among all predictors (sex, age group, place of exposure, and province) with Pearson's correlation coefficient. Associations between recovery from COVID-19 and predictors were estimated using a multivariable logistic regression model. RESULTS: Majority of the confirmed cases were females (56%), 20-29 age group (24.3%), and primarily from three provinces-Gyeongsangbuk-do (36.9%), Gyeonggi-do (20.5%), and Seoul (17.1%). The case fatality ratio was 2.1%, and 41.6% cases recovered. Older patients, patients from provinces such as Daegu, Gyeonggi-do, Gyeongsangbuk-do, Jeju-do, Jeollabuk-do, and Jeollanam-do, and those contracting the disease from healthcare settings had lower recovery. CONCLUSIONS: Our study adds to the very limited evidence base on potential predictors of recovery among confirmed COVID-19 cases. We call additional research to explore the predictors of recovery and support development of policies to protect the vulnerable patient groups. Twit Text FOAVip Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea ????Pulm Med http://www.kidney.de/pget.php?&tw=1&pmid=32774918 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32774918 #FOAvip English Wikipedia <ref>{{Cite pmid|32774918}}</ref> Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea #MMPMID32774918 Das AK; Gopalan SS Pulm Med 2020[]; 2020 (ä): 7291698 PMID32774918show ga BACKGROUND: The recent COVID-19 pandemic has emerged as a threat to global health. Though current evidence on the epidemiology of the disease is emerging, very little is known about the predictors of recovery. OBJECTIVES: To describe the epidemiology of confirmed COVID-19 patients in the Republic of Korea and identify predictors of recovery. MATERIALS AND METHODS: Using publicly available data for confirmed COVID-19 cases from the Korea Centers for Disease Control and Prevention from January 20, 2020, to April 30, 2020, we undertook descriptive analyses of cases stratified by sex, age group, place of exposure, date of confirmation, and province. Correlation was tested among all predictors (sex, age group, place of exposure, and province) with Pearson's correlation coefficient. Associations between recovery from COVID-19 and predictors were estimated using a multivariable logistic regression model. RESULTS: Majority of the confirmed cases were females (56%), 20-29 age group (24.3%), and primarily from three provinces-Gyeongsangbuk-do (36.9%), Gyeonggi-do (20.5%), and Seoul (17.1%). The case fatality ratio was 2.1%, and 41.6% cases recovered. Older patients, patients from provinces such as Daegu, Gyeonggi-do, Gyeongsangbuk-do, Jeju-do, Jeollabuk-do, and Jeollanam-do, and those contracting the disease from healthcare settings had lower recovery. CONCLUSIONS: Our study adds to the very limited evidence base on potential predictors of recovery among confirmed COVID-19 cases. We call additional research to explore the predictors of recovery and support development of policies to protect the vulnerable patient groups. |Adolescent[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19[MESH] |Child[MESH] |Coronavirus Infections/*epidemiology/mortality[MESH] |Female[MESH] |Geography, Medical[MESH] |Humans[MESH] |Logistic Models[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics/statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology/mortality[MESH] |Republic of Korea/epidemiology[MESH] |Risk Factors[MESH] |Sex Factors[MESH]Epidemiology of COVID-19 and Predictors of Recovery in the Republic of(epmc).pdf DeepDyve Pubget Overpricing