Individual-Based Research on Optimization of Campus COVID-19 Control Measures
To optimize the control measures of universities in response to the COVID-19 epidemic,an activity-based individual travel model combined with an infectious disease model was used to build a simulation platform that could generate individual travel data with outbreak transmission information,in which the effectiveness of the university's control measures in response to the outbreak was verified and optimized.After optimizing the control of the normal sweeps,we verified that the proportion of asymptomatic infections and the R0 characteristics were consistent with the Omicron strain,and that the number of confirmed cases per day,the peak number of cumulative confirmed cases and the peak time were improved after optimization.Heterogeneous model simulation using individual travel can better explain the non-negligible stochastic nature of COVID-19 outbreaks,and the use of stricter sweep control com-bined with nucleic acid test optimization measures can better contain the spread of the outbreak and reduce the infec-tion size by approximately 53.11%.
COVID-19 in higher educationStudent and faculty travel simulationHeterogeneityOptimization of control measures
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