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10.3201/eid2606.200251 http://scihub22266oqcxt.onion/10.3201/eid2606.200251 32168465!7258465!32168465     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Emerg+Infect+Dis 2020 ; 26 (6): 1257-1265 Nephropedia Template TP {{tp|p=32168465|t=2020. Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 |pdf=|usr=}}{{32168465}} gab.com Text Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 JO: Emerg Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32168465 #FOAvip To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19-epidemic areas. Characteristics that differed significantly during the first and second waves of illness in Gansu Province were mean patient age, occupation, having visited epidemic areas, and mode of transportation. Time from infection to illness onset for family clusters was shorter in Gansu Province than in Wuhan, consistent with shortened durations from onset to first medical visit or hospitalization. Spatial distribution pattern analysis indicated hot spots and spatial outliers in Gansu Province. As a result of adequate interventions, transmission of the COVID-19 virus in Gansu Province is decreasing. Twit Text FOAVip Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 ????Emerg Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32168465 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32168465 #FOAvip English Wikipedia <ref>{{Cite pmid|32168465}}</ref> Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 #MMPMID32168465 Fan J; Liu X; Pan W; Douglas MW; Bao S Emerg Infect Dis 2020[Jun]; 26 (6): 1257-1265 PMID32168465show ga To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19-epidemic areas. Characteristics that differed significantly during the first and second waves of illness in Gansu Province were mean patient age, occupation, having visited epidemic areas, and mode of transportation. Time from infection to illness onset for family clusters was shorter in Gansu Province than in Wuhan, consistent with shortened durations from onset to first medical visit or hospitalization. Spatial distribution pattern analysis indicated hot spots and spatial outliers in Gansu Province. As a result of adequate interventions, transmission of the COVID-19 virus in Gansu Province is decreasing. |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Child[MESH] |Child, Preschool[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology[MESH] |Female[MESH] |Geographic Information Systems[MESH] |Hospitalization[MESH] |Humans[MESH] |Infant[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH] |Spatial Analysis[MESH] |Time Factors[MESH]Epidemiology of Coronavirus Disease in Gansu Province, China, 2020 (epmc).pdf DeepDyve Pubget Overpricing