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10.1016/j.ijid.2020.07.004 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.07.004 32634584!7334954!32634584     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 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       Int+J+Infect+Dis 2020 ; 98 (ä): 328-333 Nephropedia Template TP {{tp|p=32634584|t=2020. Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020) |pdf=|usr=}}{{32634584}} gab.com Text Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020) JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32634584 #FOAvip OBJECTIVES: The aim of this study was to assess how coronavirus disease 2019 (COVID-19) clustered across districts in South Korea and to assess whether the pattern and duration of clusters changed following the country's containment strategy. METHODS: A spatiotemporal analysis of COVID-19 daily confirmed cases by 250 districts in South Korea from January 20 to May 31, 2020, obtained from the Korea Centers for Disease Control and Prevention and each provincial website, was conducted. The global Moran's I statistic was used for spatial autocorrelation analysis, and the retrospective space-time scan statistic was used to analyze spatiotemporal clusters of COVID-19. RESULTS: The geographical distribution showed strong spatial autocorrelation, with a global Moran's I coefficient of 0.784 (p=0.0001). Twelve statistically significant spatiotemporal clusters were identified by space-time scan statistic using a discrete Poisson model. The spatial pattern of clusters changed and the duration of clusters became shorter over time. CONCLUSIONS: The results indicate that South Korea's containment strategy for COVID-19 was highly effective in both early detection and mitigation, with recent clusters being small in size and duration. Lessons from South Korea should spark a discussion on epidemic response. Twit Text FOAVip Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020) ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32634584 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32634584 #FOAvip English Wikipedia <ref>{{Cite pmid|32634584}}</ref> Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020) #MMPMID32634584 Kim S; Castro MC Int J Infect Dis 2020[Sep]; 98 (ä): 328-333 PMID32634584show ga OBJECTIVES: The aim of this study was to assess how coronavirus disease 2019 (COVID-19) clustered across districts in South Korea and to assess whether the pattern and duration of clusters changed following the country's containment strategy. METHODS: A spatiotemporal analysis of COVID-19 daily confirmed cases by 250 districts in South Korea from January 20 to May 31, 2020, obtained from the Korea Centers for Disease Control and Prevention and each provincial website, was conducted. The global Moran's I statistic was used for spatial autocorrelation analysis, and the retrospective space-time scan statistic was used to analyze spatiotemporal clusters of COVID-19. RESULTS: The geographical distribution showed strong spatial autocorrelation, with a global Moran's I coefficient of 0.784 (p=0.0001). Twelve statistically significant spatiotemporal clusters were identified by space-time scan statistic using a discrete Poisson model. The spatial pattern of clusters changed and the duration of clusters became shorter over time. CONCLUSIONS: The results indicate that South Korea's containment strategy for COVID-19 was highly effective in both early detection and mitigation, with recent clusters being small in size and duration. Lessons from South Korea should spark a discussion on epidemic response. |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/transmission/virology[MESH] |Government[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/transmission/virology[MESH] |Republic of Korea/epidemiology[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH] |Spatial Analysis[MESH]Spatiotemporal pattern of COVID-19 and government response in South Ko(epmc).pdf DeepDyve Pubget Overpricing