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10.1016/j.chaos.2021.111046 http://scihub22266oqcxt.onion/10.1016/j.chaos.2021.111046 34103789!8174143!34103789     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2021 ; 148 (ä): 111046 Nephropedia Template TP {{tp|p=34103789|t=2021. Modeling and controlling the spread of epidemic with various social and economic scenarios |pdf=|usr=}}{{34103789}} gab.com Text Modeling and controlling the spread of epidemic with various social and economic scenarios JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34103789 #FOAvip We propose a dynamical model for describing the spread of epidemics. This model is an extension of the SIQR (susceptible-infected-quarantined-recovered) and SIRP (susceptible-infected-recovered-pathogen) models used earlier to describe various scenarios of epidemic spreading. As compared to the basic SIR model, our model takes into account two possible routes of contagion transmission: direct from the infected compartment to the susceptible compartment and indirect via some intermediate medium or fomites. Transmission rates are estimated in terms of average distances between the individuals in selected social environments and characteristic time spans for which the individuals stay in each of these environments. We also introduce a collective economic resource associated with the average amount of money or income per individual to describe the socioeconomic interplay between the spreading process and the resource available to infected individuals. The epidemic-resource coupling is supposed to be of activation type, with the recovery rate governed by the Arrhenius-like law. Our model brings an advantage of building various control strategies to mitigate the effect of epidemic and can be applied, in particular, to modeling the spread of COVID-19. Twit Text FOAVip Modeling and controlling the spread of epidemic with various social and economic scenarios ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=34103789 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34103789 #FOAvip English Wikipedia <ref>{{Cite pmid|34103789}}</ref> Modeling and controlling the spread of epidemic with various social and economic scenarios #MMPMID34103789 Gandzha IS; Kliushnichenko OV; Lukyanets SP Chaos Solitons Fractals 2021[Jul]; 148 (ä): 111046 PMID34103789show ga We propose a dynamical model for describing the spread of epidemics. This model is an extension of the SIQR (susceptible-infected-quarantined-recovered) and SIRP (susceptible-infected-recovered-pathogen) models used earlier to describe various scenarios of epidemic spreading. As compared to the basic SIR model, our model takes into account two possible routes of contagion transmission: direct from the infected compartment to the susceptible compartment and indirect via some intermediate medium or fomites. Transmission rates are estimated in terms of average distances between the individuals in selected social environments and characteristic time spans for which the individuals stay in each of these environments. We also introduce a collective economic resource associated with the average amount of money or income per individual to describe the socioeconomic interplay between the spreading process and the resource available to infected individuals. The epidemic-resource coupling is supposed to be of activation type, with the recovery rate governed by the Arrhenius-like law. Our model brings an advantage of building various control strategies to mitigate the effect of epidemic and can be applied, in particular, to modeling the spread of COVID-19. äModeling and controlling the spread of epidemic with various social an(epmc).pdf DeepDyve Pubget Overpricing