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10.3934/mbe.2020204 http://scihub22266oqcxt.onion/10.3934/mbe.2020204 32987547!ä!32987547 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 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 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 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       Math+Biosci+Eng 2020 ; 17 (4): 3618-3636 Nephropedia Template TP {{tp|p=32987547|t=2020. Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK |pdf=|usr=}}{{32987547}} gab.com Text Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32987547 #FOAvip A new COVID-19 epidemic model with media coverage and quarantine is constructed. The model allows for the susceptibles to the unconscious and conscious susceptible compartment. First, mathematical analyses establish that the global dynamics of the spread of the COVID-19 infectious disease are completely determined by the basic reproduction number R(0). If R(0) </= 1, then the disease free equilibrium is globally asymptotically stable. If R(0) > 1, the endemic equilibrium is globally asymptotically stable. Second, the unknown parameters of model are estimated by the MCMC algorithm on the basis of the total confirmed new cases from February 1, 2020 to March 23, 2020 in the UK. We also estimate that the basic reproduction number is R(0) = 4.2816(95%CI: (3.8882, 4.6750)). Without the most restrictive measures, we forecast that the COVID-19 epidemic will peak on June 2 (95%CI: (May 23, June 13)) (Figure 3a) and the number of infected individuals is more than 70% of UK population. In order to determine the key parameters of the model, sensitivity analysis are also explored. Finally, our results show reducing contact is effective against the spread of the disease. We suggest that the stringent containment strategies should be adopted in the UK. Twit Text FOAVip Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32987547 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32987547 #FOAvip English Wikipedia <ref>{{Cite pmid|32987547}}</ref> Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK #MMPMID32987547 Feng LX; Jing SL; Hu SK; Wang DF; Huo HF Math Biosci Eng 2020[May]; 17 (4): 3618-3636 PMID32987547show ga A new COVID-19 epidemic model with media coverage and quarantine is constructed. The model allows for the susceptibles to the unconscious and conscious susceptible compartment. First, mathematical analyses establish that the global dynamics of the spread of the COVID-19 infectious disease are completely determined by the basic reproduction number R(0). If R(0) 1, the endemic equilibrium is globally asymptotically stable. Second, the unknown parameters of model are estimated by the MCMC algorithm on the basis of the total confirmed new cases from February 1, 2020 to March 23, 2020 in the UK. We also estimate that the basic reproduction number is R(0) = 4.2816(95%CI: (3.8882, 4.6750)). Without the most restrictive measures, we forecast that the COVID-19 epidemic will peak on June 2 (95%CI: (May 23, June 13)) (Figure 3a) and the number of infected individuals is more than 70% of UK population. In order to determine the key parameters of the model, sensitivity analysis are also explored. Finally, our results show reducing contact is effective against the spread of the disease. We suggest that the stringent containment strategies should be adopted in the UK. |*Betacoronavirus[MESH] |*Communications Media[MESH] |*Pandemics/prevention & control/statistics & numerical data[MESH] |*Quarantine[MESH] |Algorithms[MESH] |Basic Reproduction Number/statistics & numerical data[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/prevention & control/transmission[MESH] |Humans[MESH] |Markov Chains[MESH] |Mathematical Concepts[MESH] |Models, Biological[MESH] |Monte Carlo Method[MESH] |Pneumonia, Viral/*epidemiology/prevention & control/transmission[MESH] |SARS-CoV-2[MESH] |Time Factors[MESH]Modelling the effects of media coverage and quarantine on the COVID-19(epmc).pdf DeepDyve Pubget Overpricing