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10.1016/j.ijid.2020.03.076 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.03.076 32251789!7194591!32251789     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       Int+J+Infect+Dis 2020 ; 94 (ä): 96-102 Nephropedia Template TP {{tp|p=32251789|t=2020. Spatial epidemic dynamics of the COVID-19 outbreak in China |pdf=|usr=}}{{32251789}} gab.com Text Spatial epidemic dynamics of the COVID-19 outbreak in China JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32251789 #FOAvip BACKGROUND: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January-06 February 2020. METHODS: This study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran's I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. RESULTS: The spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. CONCLUSIONS: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China. Twit Text FOAVip Spatial epidemic dynamics of the COVID-19 outbreak in China ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32251789 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32251789 #FOAvip English Wikipedia <ref>{{Cite pmid|32251789}}</ref> Spatial epidemic dynamics of the COVID-19 outbreak in China #MMPMID32251789 Kang D; Choi H; Kim JH; Choi J Int J Infect Dis 2020[May]; 94 (ä): 96-102 PMID32251789show ga BACKGROUND: On 31 December 2019 an outbreak of COVID-19 in Wuhan, China, was reported. The outbreak spread rapidly to other Chinese cities and multiple countries. This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January-06 February 2020. METHODS: This study explored the spatial epidemic dynamics of COVID-19 in mainland China. Moran's I spatial statistic with various definitions of neighbours was used to conduct a test to determine whether a spatial association of the COVID-19 infections existed. RESULTS: The spatial spread of the COVID-19 pandemic in China was observed. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. CONCLUSIONS: Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China. |*Betacoronavirus[MESH] |*Epidemics[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Cities[MESH] |Coronavirus Infections/*epidemiology[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH]Spatial epidemic dynamics of the COVID-19 outbreak in China (epmc).pdf DeepDyve Pubget Overpricing