Targeted pandemic containment through identifying local contact network bottlenecks

@article{Yang2021TargetedPC,
  title={Targeted pandemic containment through identifying local contact network bottlenecks},
  author={Shenghao Yang and Priyabrata Senapati and Di Wang and Chris T. Bauch and Kimon Fountoulakis},
  journal={PLoS Computational Biology},
  year={2021},
  volume={17}
}
Decision-making about pandemic mitigation often relies upon simulation modelling. Models of disease transmission through networks of contacts–between individuals or between population centres–are increasingly used for these purposes. Real-world contact networks are rich in structural features that influence infection transmission, such as tightly-knit local communities that are weakly connected to one another. In this paper, we propose a new flow-based edge-betweenness centrality method for… 
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