Utilizing Crowd Insights to Refine Disease-Spreading Models

Conference paper


Everyday life gets increasingly crowded, not only in our major cities, with their transport hubs and other points where flows merge, but also during mass gatherings such as religious and sports events. As a result, not only safety and efficiency aspects of overcrowding are of importance, but also health aspects such as the spread of diseases are important to address. Therefore, we illustrate how insights into crowd research can be used to refine models used to forecast likely trajectories of the spread of diseases.


Epidemics Crowd safety Disease spreading Pedestrians 



This work is supported by the EPSRC funded Industrial Doctoral Centre in Systems, Universities of Bristol and Bath (Grant EP/G037353/1).


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.The Systems Centre, Faculty of EngineeringUniversity of BristolBristolUK
  2. 2.Centre for Advanced Spatial Analysis (CASA)University College London (UCL)LondonUK

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