Compensating for population sampling in simulations of epidemic spread on temporal contact networks

@article{Gnois2015CompensatingFP,
  title={Compensating for population sampling in simulations of epidemic spread on temporal contact networks},
  author={Mathieu G{\'e}nois and Christian L. Vestergaard and Ciro Cattuto and Alain Barrat},
  journal={Nature Communications},
  year={2015},
  volume={6}
}
Data describing human interactions often suffer from incomplete sampling of the underlying population. As a consequence, the study of contagion processes using data-driven models can lead to a severe underestimation of the epidemic risk. Here we present a systematic method to alleviate this issue and obtain a better estimation of the risk in the context of epidemic models informed by high-resolution time-resolved contact data. We consider several such data sets collected in various contexts and… 

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