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10.2991/jegh.k.210322.001 http://scihub22266oqcxt.onion/10.2991/jegh.k.210322.001 33876595!8242108!33876595     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Epidemiol+Glob+Health 2021 ; 11 (2): 246-252 Nephropedia Template TP {{tp|p=33876595|t=2021. Policy Disparities in Response to COVID-19 between China and South Korea |pdf=|usr=}}{{33876595}} gab.com Text Policy Disparities in Response to COVID-19 between China and South Korea JO: J Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=33876595 #FOAvip OBJECTIVES: This study analyzed the effects of COVID-19 non-pharmaceutical measures between China and South Korea to share experiences with other countries in the struggle against SARS-CoV-2. METHODS: We used the generalized linear model to examine the associations between non-pharmaceutical measures adopted by China and South Korea and the number of confirmed cases. Policy disparities were also discussed between these two countries. RESULTS: The results show that the following factors influence the number of confirmed cases in China: lockdown of Wuhan city (LWC); establishment of a Leading Group by the Central Government; raising the public health emergency response to the highest level in all localities; classifying management of "four categories of personnel"; makeshift hospitals in operation (MHIO); pairing assistance (PA); launching massive community screening (LMCS). In South Korea, these following factors were the key influencing factors of the cumulative confirmed cases: raising the public alert level to orange (three out of four levels); raising the public alert to the highest level; launching drive-through screening centers (LDSC); screening all members of Shincheonji religious group; launching Community Treatment Center (LCTC); distributing public face masks nationwide and quarantining all travelers from overseas countries for 14 days. CONCLUSION: Based on the analysis of the generalized linear model, we found that a series of non-pharmaceutical measures were associated with contain of the COVID-19 outbreak in China and South Korea. The following measures were crucial for both of them to fight against the COVID-19 epidemic: a strong national response system, expanding diagnostic tests, establishing makeshift hospitals, and quarantine or lockdown affected areas. Twit Text FOAVip Policy Disparities in Response to COVID-19 between China and South Korea ????J Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=33876595 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33876595 #FOAvip English Wikipedia <ref>{{Cite pmid|33876595}}</ref> Policy Disparities in Response to COVID-19 between China and South Korea #MMPMID33876595 Chen H; Shi L; Zhang Y; Wang X; Sun G J Epidemiol Glob Health 2021[Jun]; 11 (2): 246-252 PMID33876595show ga OBJECTIVES: This study analyzed the effects of COVID-19 non-pharmaceutical measures between China and South Korea to share experiences with other countries in the struggle against SARS-CoV-2. METHODS: We used the generalized linear model to examine the associations between non-pharmaceutical measures adopted by China and South Korea and the number of confirmed cases. Policy disparities were also discussed between these two countries. RESULTS: The results show that the following factors influence the number of confirmed cases in China: lockdown of Wuhan city (LWC); establishment of a Leading Group by the Central Government; raising the public health emergency response to the highest level in all localities; classifying management of "four categories of personnel"; makeshift hospitals in operation (MHIO); pairing assistance (PA); launching massive community screening (LMCS). In South Korea, these following factors were the key influencing factors of the cumulative confirmed cases: raising the public alert level to orange (three out of four levels); raising the public alert to the highest level; launching drive-through screening centers (LDSC); screening all members of Shincheonji religious group; launching Community Treatment Center (LCTC); distributing public face masks nationwide and quarantining all travelers from overseas countries for 14 days. CONCLUSION: Based on the analysis of the generalized linear model, we found that a series of non-pharmaceutical measures were associated with contain of the COVID-19 outbreak in China and South Korea. The following measures were crucial for both of them to fight against the COVID-19 epidemic: a strong national response system, expanding diagnostic tests, establishing makeshift hospitals, and quarantine or lockdown affected areas. |COVID-19/*epidemiology/prevention & control[MESH] |China/epidemiology[MESH] |Communicable Disease Control/legislation & jurisprudence[MESH] |Health Policy/*legislation & jurisprudence[MESH] |Humans[MESH] |Republic of Korea/epidemiology[MESH]Policy Disparities in Response to COVID-19 between China and South Kor(epmc).pdf DeepDyve Pubget Overpricing