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10.1017/S095026882000151X http://scihub22266oqcxt.onion/10.1017/S095026882000151X 32624078!7360956!32624078     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2020 ; 148 (ä): e141 Nephropedia Template TP {{tp|p=32624078|t=2020. Epidemiological characteristics and spatial-temporal analysis of COVID-19 in Shandong Province, China |pdf=|usr=}}{{32624078}} gab.com Text Epidemiological characteristics and spatial-temporal analysis of COVID-19 in Shandong Province, China JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32624078 #FOAvip The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial-temporal analysis were performed based on COVID-19 cases from 21 January 2020 to 1 March 2020 in Shandong Province, and close contacts were traced to construct transmission chains. A total of 758 laboratory-confirmed cases were reported in Shandong. The sex ratio was 1.27: 1 (M: F) and the median age was 42 (interquartile range: 32-55). The high-risk clusters were identified in the central, eastern and southern regions of Shandong from 25 January 2020 to 10 February 2020. We rebuilt 54 transmission chains involving 209 cases, of which 52.2% were family clusters, and three widespread infection chains were elaborated, occurring in Jining, Zaozhuang and Liaocheng, respectively. The geographical and temporal disparity may alert public health agencies to implement specific measures in regions with different risk, and should attach importance on how to avoid household and community transmission. Twit Text FOAVip Epidemiological characteristics and spatial-temporal analysis of COVID-19 in Shandong Province, China ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32624078 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32624078 #FOAvip English Wikipedia <ref>{{Cite pmid|32624078}}</ref> Epidemiological characteristics and spatial-temporal analysis of COVID-19 in Shandong Province, China #MMPMID32624078 Qi C; Zhu YC; Li CY; Hu YC; Liu LL; Zhang DD; Wang X; She KL; Jia Y; Liu TX; Li XJ Epidemiol Infect 2020[Jul]; 148 (ä): e141 PMID32624078show ga The pandemic of coronavirus disease 2019 (COVID-19) has posed serious challenges. It is vitally important to further clarify the epidemiological characteristics of the COVID-19 outbreak for future study and prevention and control measures. Epidemiological characteristics and spatial-temporal analysis were performed based on COVID-19 cases from 21 January 2020 to 1 March 2020 in Shandong Province, and close contacts were traced to construct transmission chains. A total of 758 laboratory-confirmed cases were reported in Shandong. The sex ratio was 1.27: 1 (M: F) and the median age was 42 (interquartile range: 32-55). The high-risk clusters were identified in the central, eastern and southern regions of Shandong from 25 January 2020 to 10 February 2020. We rebuilt 54 transmission chains involving 209 cases, of which 52.2% were family clusters, and three widespread infection chains were elaborated, occurring in Jining, Zaozhuang and Liaocheng, respectively. The geographical and temporal disparity may alert public health agencies to implement specific measures in regions with different risk, and should attach importance on how to avoid household and community transmission. |Adult[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Contact Tracing[MESH] |Coronavirus Infections/*epidemiology/*transmission[MESH] |Female[MESH] |Geographic Information Systems[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*transmission[MESH]Epidemiological characteristics and spatial-temporal analysis of COVID(epmc).pdf DeepDyve Pubget Overpricing