“Stay nearby or get checked”: A Covid-19 control strategy

@article{Brethouwer2020StayNO,
  title={“Stay nearby or get checked”: A Covid-19 control strategy},
  author={Jan-Tino Brethouwer and A. V. D. Rijt and R. Lindelauf and R. Fokkink},
  journal={Infectious Disease Modelling},
  year={2020},
  volume={6},
  pages={36 - 45}
}
This paper repurposes the classic insight from network theory that long-distance connections drive disease propagation into a strategy for controlling a second wave of Covid-19. We simulate a scenario in which a lockdown is first imposed on a population and then partly lifted while long-range transmission is kept at a mini-mum. Simulated spreading patterns resemble contemporary distributions of Covid- 19 across EU member states, German and Italian regions, and through New York City, providing… Expand
How and When to End the COVID-19 Lockdown: An Optimization Approach
Complex Social Networks are Missing in the Dominant COVID-19 Epidemic Models
A Divide and Conquer Strategy against the Covid-19 Pandemic?!
Fast Response to Superspreading: Uncertainty and Complexity in the Context of COVID-19

References

SHOWING 1-10 OF 54 REFERENCES
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
Early dynamics of transmission and control of COVID-19: a mathematical modelling study
Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structure.
  • N. Carnegie
  • Computer Science, Medicine
  • Statistics in medicine
  • 2018
Networks and epidemic models
The role of the airline transportation network in the prediction and predictability of global epidemics
Small World and Scale Free Model of Transmission of SARS
Modeling targeted layered containment of an influenza pandemic in the United States
...
1
2
3
4
5
...