Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models

@article{Panigutti2017AssessingTU,
  title={Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models},
  author={Cecilia Panigutti and M. Tizzoni and P. Bajardi and Z. Smoreda and V. Colizza},
  journal={Royal Society Open Science},
  year={2017},
  volume={4}
}
  • Cecilia Panigutti, M. Tizzoni, +2 authors V. Colizza
  • Published 2017
  • Geography, Medicine
  • Royal Society Open Science
  • The recent availability of large-scale call detail record data has substantially improved our ability of quantifying human travel patterns with broad applications in epidemiology. Notwithstanding a number of successful case studies, previous works have shown that using different mobility data sources, such as mobile phone data or census surveys, to parametrize infectious disease models can generate divergent outcomes. Thus, it remains unclear to what extent epidemic modelling results may vary… CONTINUE READING
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