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10.1016/j.rinp.2021.104305 http://scihub22266oqcxt.onion/10.1016/j.rinp.2021.104305 34002128!8117536!34002128     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Results+Phys 2021 ; 25 (ä): 104305 Nephropedia Template TP {{tp|p=34002128|t=2021. Comparative and quantitative analysis of COVID-19 epidemic interventions in Chinese provinces |pdf=|usr=}}{{34002128}} gab.com Text Comparative and quantitative analysis of COVID-19 epidemic interventions in Chinese provinces JO: Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=34002128 #FOAvip A mathematical model was developed to evaluate and compare the effects and intensity of the coronavirus disease 2019 prevention and control measures in Chinese provinces. The time course of the disease with government intervention was described using a dynamic model. The estimated government intervention parameters and area difference between with and without intervention were considered as the intervention intensity and effect, respectively. The model of the disease time course without government intervention predicted that by April 30, 2020, about 3.08% of the population would have been diagnosed with coronavirus disease 2019 in China. Guangdong Province averted the most cases. Comprehensive intervention measures, in which social distancing measures may have played a greater role than isolation measures, resulted in reduced infection cases. Shanghai had the highest intervention intensity. In the context of the global coronavirus disease 2019 pandemic, the prevention and control experience of some key areas in China (such as Shanghai and Guangdong) can provide references for outbreak control in many countries. Twit Text FOAVip Comparative and quantitative analysis of COVID-19 epidemic interventions in Chinese provinces ????Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=34002128 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34002128 #FOAvip English Wikipedia <ref>{{Cite pmid|34002128}}</ref> Comparative and quantitative analysis of COVID-19 epidemic interventions in Chinese provinces #MMPMID34002128 Liu H; Rong Z; Qi X; Fu J; Huang H; Cao L; Shan L; Zhao Y; Li K; Hao Y; Jiao M; Wu Q; Zhang X Results Phys 2021[Jun]; 25 (ä): 104305 PMID34002128show ga A mathematical model was developed to evaluate and compare the effects and intensity of the coronavirus disease 2019 prevention and control measures in Chinese provinces. The time course of the disease with government intervention was described using a dynamic model. The estimated government intervention parameters and area difference between with and without intervention were considered as the intervention intensity and effect, respectively. The model of the disease time course without government intervention predicted that by April 30, 2020, about 3.08% of the population would have been diagnosed with coronavirus disease 2019 in China. Guangdong Province averted the most cases. Comprehensive intervention measures, in which social distancing measures may have played a greater role than isolation measures, resulted in reduced infection cases. Shanghai had the highest intervention intensity. In the context of the global coronavirus disease 2019 pandemic, the prevention and control experience of some key areas in China (such as Shanghai and Guangdong) can provide references for outbreak control in many countries. äComparative and quantitative analysis of COVID-19 epidemic interventio(epmc).pdf DeepDyve Pubget Overpricing