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• W3167182125 endingPage "111046" @default.
• W3167182125 startingPage "111046" @default.
• W3167182125 abstract "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." @default.
• W3167182125 created "2021-06-22" @default.
• W3167182125 creator A5022803964 @default.
• W3167182125 creator A5027885967 @default.
• W3167182125 creator A5070354133 @default.
• W3167182125 date "2021-07-01" @default.
• W3167182125 modified "2023-10-16" @default.
• W3167182125 title "Modeling and controlling the spread of epidemic with various social and economic scenarios" @default.
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• W3167182125 doi "https://doi.org/10.1016/j.chaos.2021.111046" @default.
• W3167182125 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8174143" @default.
• W3167182125 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34103789" @default.
• W3167182125 hasPublicationYear "2021" @default.
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