Epidemic Risk Assessment By A Novel Communication Station Based Method

The COVID-19 pandemic has caused serious consequences in the last few months and fighting against the epidemic has been the most important and crucial thing. With effective prevention and control methods, the epidemic has been gradually under control in some countries and it is essential to ensure safe work resumption currently. Although some approaches are proposed to measure people's healthy conditions, such as filling in the health information forms or evaluating by people's travel records, they cannot provide a fine-grained assessment of the epidemic risk. In this paper, we propose a novel epidemic risk assessment method based on the granular data collected by communication stations. We first compute the epidemic risk of these stations in different intervals by combining the number of infected persons and the way they pass through the station. Then we calculate the personnel risk in different intervals according to the station trajectory of the queried person. This method could assess people's epidemic risk accurately and efficiently. We also conduct extensive simulations and the results verify the effectiveness of the proposed method.