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10.1017/dmp.2020.134 http://scihub22266oqcxt.onion/10.1017/dmp.2020.134 32367793!7251290!32367793     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Disaster+Med+Public+Health+Prep 2020 ; 14 (6): 769-775 Nephropedia Template TP {{tp|p=32367793|t=2020. Epidemiological characteristics of confirmed COVID-19 in Guizhou province, China |pdf=|usr=}}{{32367793}} gab.com Text Epidemiological characteristics of confirmed COVID-19 in Guizhou province, China JO: Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32367793 #FOAvip OBJECTIVE: To explore the epidemiological characteristics of COVID-19 associated with SARS-Cov-2 in Guizhou province, and to compare the differences in epidemiology with other provinces. METHODS: The data were extracted from National Health Commission of the People's Republic of China, Health Commission of Guizhou province, and Health Commission of Hubei province from January 20 to February 12, 2020. Information included such as general demographic indicators, population data and clinical outcome. RESULTS: A total of 135 cases were analyzed in the study. The average age was 39.46+/-18.95 years. The ratio of males to females was 0.985:1. Most of COVID-19 patients were 18-45 years old (52.27%). Close contact history was the most common (37.88%), followed by residence history in Hubei (34.85%). There was no difference between males and females in age (P=0.953) and exposure condition (P=0.186). Correlation analysis showed that there was a significant positive correlation between the migration index and the number of confirmed cases (r=0.816, P=0.007). CONCLUSION: Among the cases, most patients were young adults. Most epidemiological characteristics were no difference between males and females. Family-based transmission should not be ignored, as a close contact history was the top reason of exposure. Moreover, population movements also had significant impact on outbreaks. Twit Text FOAVip Epidemiological characteristics of confirmed COVID-19 in Guizhou province, China ????Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32367793 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32367793 #FOAvip English Wikipedia <ref>{{Cite pmid|32367793}}</ref> Epidemiological characteristics of confirmed COVID-19 in Guizhou province, China #MMPMID32367793 Li X; Wang X; Liu J; Huang G; Shi X Disaster Med Public Health Prep 2020[Dec]; 14 (6): 769-775 PMID32367793show ga OBJECTIVE: To explore the epidemiological characteristics of COVID-19 associated with SARS-Cov-2 in Guizhou province, and to compare the differences in epidemiology with other provinces. METHODS: The data were extracted from National Health Commission of the People's Republic of China, Health Commission of Guizhou province, and Health Commission of Hubei province from January 20 to February 12, 2020. Information included such as general demographic indicators, population data and clinical outcome. RESULTS: A total of 135 cases were analyzed in the study. The average age was 39.46+/-18.95 years. The ratio of males to females was 0.985:1. Most of COVID-19 patients were 18-45 years old (52.27%). Close contact history was the most common (37.88%), followed by residence history in Hubei (34.85%). There was no difference between males and females in age (P=0.953) and exposure condition (P=0.186). Correlation analysis showed that there was a significant positive correlation between the migration index and the number of confirmed cases (r=0.816, P=0.007). CONCLUSION: Among the cases, most patients were young adults. Most epidemiological characteristics were no difference between males and females. Family-based transmission should not be ignored, as a close contact history was the top reason of exposure. Moreover, population movements also had significant impact on outbreaks. |Adolescent[MESH] |Adult[MESH] |Age Distribution[MESH] |Aged[MESH] |COVID-19/*epidemiology/transmission[MESH] |China/epidemiology[MESH] |Disease Outbreaks[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |SARS-CoV-2[MESH] |Sex Distribution[MESH]Epidemiological characteristics of confirmed COVID-19 in Guizhou provi(epmc).pdf DeepDyve Pubget Overpricing