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10.1017/dmp.2020.63 http://scihub22266oqcxt.onion/10.1017/dmp.2020.63 32234107!7156568!32234107     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 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Disaster+Med+Public+Health+Prep 2020 ; 14 (5): 630-634 Nephropedia Template TP {{tp|p=32234107|t=2020. Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |pdf=|usr=}}{{32234107}} gab.com Text Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China JO: Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32234107 #FOAvip OBJECTIVE: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. METHODS: Data from COVID-19 cases were collected from daily notifications given to the National Health Commission of the People's Republic of China and Tianjin Health Committee. All of the data were analyzed with SPSS, version 24.0 software (IBM Corp, Armonk, NY). RESULTS: As of February 24, 2020, there have been 135 confirmed cases, 3 deaths, and 87 recoveries in Tianjin, China. The incidence of COVID-19 was 8.65/1 000 000 with a 2.22% case fatality rate. Regarding geographic distribution, the incidence was 8.82 per 1 000 000 in urban areas and 8.00 per 1 000 000 in suburbs. During the early stage of the epidemic, most cases came from urban areas and in patients with a history of sojourning in Hubei Province. The majority of patients were 31-70 years old (75.97%). A familial clustering was the most important characteristic of COVID-19 (accounting for 74.81%). CONCLUSIONS: Current information suggests that people are generally susceptible to COVID-19, which has shown a familial clustering in Tianjin. Twit Text FOAVip Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China ????Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32234107 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32234107 #FOAvip English Wikipedia <ref>{{Cite pmid|32234107}}</ref> Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China #MMPMID32234107 Cao C; Li Y; Liu S; Fan H; Hao L Disaster Med Public Health Prep 2020[Oct]; 14 (5): 630-634 PMID32234107show ga OBJECTIVE: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. METHODS: Data from COVID-19 cases were collected from daily notifications given to the National Health Commission of the People's Republic of China and Tianjin Health Committee. All of the data were analyzed with SPSS, version 24.0 software (IBM Corp, Armonk, NY). RESULTS: As of February 24, 2020, there have been 135 confirmed cases, 3 deaths, and 87 recoveries in Tianjin, China. The incidence of COVID-19 was 8.65/1 000 000 with a 2.22% case fatality rate. Regarding geographic distribution, the incidence was 8.82 per 1 000 000 in urban areas and 8.00 per 1 000 000 in suburbs. During the early stage of the epidemic, most cases came from urban areas and in patients with a history of sojourning in Hubei Province. The majority of patients were 31-70 years old (75.97%). A familial clustering was the most important characteristic of COVID-19 (accounting for 74.81%). CONCLUSIONS: Current information suggests that people are generally susceptible to COVID-19, which has shown a familial clustering in Tianjin. |Adult[MESH] |Aged[MESH] |COVID-19/epidemiology/*transmission[MESH] |China/epidemiology[MESH] |Epidemiology/*statistics & numerical data/trends[MESH] |Female[MESH] |Humans[MESH] |Incidence[MESH] |Male[MESH] |Middle Aged[MESH]Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID(epmc).pdf DeepDyve Pubget Overpricing