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10.3934/mbe.2020174 http://scihub22266oqcxt.onion/10.3934/mbe.2020174 32987517!ä!32987517 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci+Eng 2020 ; 17 (4): 3062-3087 Nephropedia Template TP {{tp|p=32987517|t=2020. Spread trend of COVID-19 epidemic outbreak in China: using exponential attractor method in a spatial heterogeneous SEIQR model |pdf=|usr=}}{{32987517}} gab.com Text Spread trend of COVID-19 epidemic outbreak in China: using exponential attractor method in a spatial heterogeneous SEIQR model JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32987517 #FOAvip In this paper we introduce a method of global exponential attractor in the reaction-diffusion epidemic model in spatial heterogeneous environment to study the spread trend and long-term dynamic behavior of the COVID-19 epidemic. First, we prove the existence of the global exponential attractor of general dissipative evolution systems. Then, by using the existence theorem, the global asymptotic stability and the persistence of epidemic are discussed. Finally, combine with the official data of the COVID-19 and the national control strategy, some numerical simulations on the stability and global exponential attractiveness of the COVID-19 epidemic are given. Simulations show that the spread trend of the epidemic is in line with our theoretical results, and the preventive measures taken by the Chinese government are effective. Twit Text FOAVip Spread trend of COVID-19 epidemic outbreak in China: using exponential attractor method in a spatial heterogeneous SEIQR model ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32987517 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32987517 #FOAvip English Wikipedia <ref>{{Cite pmid|32987517}}</ref> Spread trend of COVID-19 epidemic outbreak in China: using exponential attractor method in a spatial heterogeneous SEIQR model #MMPMID32987517 Zhu CC; Zhu J Math Biosci Eng 2020[Apr]; 17 (4): 3062-3087 PMID32987517show ga In this paper we introduce a method of global exponential attractor in the reaction-diffusion epidemic model in spatial heterogeneous environment to study the spread trend and long-term dynamic behavior of the COVID-19 epidemic. First, we prove the existence of the global exponential attractor of general dissipative evolution systems. Then, by using the existence theorem, the global asymptotic stability and the persistence of epidemic are discussed. Finally, combine with the official data of the COVID-19 and the national control strategy, some numerical simulations on the stability and global exponential attractiveness of the COVID-19 epidemic are given. Simulations show that the spread trend of the epidemic is in line with our theoretical results, and the preventive measures taken by the Chinese government are effective. |*Betacoronavirus[MESH] |*Epidemics/prevention & control/statistics & numerical data[MESH] |*Models, Biological[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Computer Simulation[MESH] |Coronavirus Infections/*epidemiology/prevention & control/transmission[MESH] |Humans[MESH] |Mathematical Concepts[MESH] |Pandemics/prevention & control/statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology/prevention & control/transmission[MESH] |Quarantine/statistics & numerical data[MESH]Spread trend of COVID-19 epidemic outbreak in China: using exponential(epmc).pdf DeepDyve Pubget Overpricing