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Social Distancing and Epidemic Resurgence in Agent-based Susceptible-infectious-recovered Models by Mukhamadiarov, Ruslan I. ;Deng, Shengfeng ;Serrao, Shannon R. ;Priyanka, ;Nandi, Riya ;Yao, Louie Hong ;Täuber, Uwe C. is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Social Distancing and Epidemic Resurgence in Agent-based Susceptible-infectious-recovered Models about?
## Abstract Once an epidemic outbreak has been effectively contained through non-pharmaceutical interventions, a safe protocol is required for the subsequent release of social distancing restrictions to prevent a disastrous resurgence of the infection. We report individual-based numerical simulations of stochastic susceptible-infectious-recovered model variants on four distinct spatially organized lattice and network architectures wherein contact and mobility constraints are implemented. We robustly find that the intensity and spatial spread of the epidemic recurrence wave can be limited to a manageable extent provided release of these restrictions is delayed sufficiently (for a duration of at least thrice the time until the peak of the unmitigated outbreak) and long-distance connections are maintained on a low level (limited to less than five percent of the overall connectivity).
Who reads Social Distancing and Epidemic Resurgence in Agent-based Susceptible-infectious-recovered Models?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Mukhamadiarov, Ruslan I. ;Deng, Shengfeng ;Serrao, Shannon R. ;Priyanka, ;Nandi, Riya ;Yao, Louie Hong ;Täuber, Uwe C.
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)