Modeling and Evolution Analysis of Community Residents' Prevention and Control Blockchain System for Public Health Emergencies

In the process of prevention and control of public health emergencies, it is difficult to obtain and monitor the health behavior and status information of community residents in daily life and work environment, making community prevention management department face challenges in residents' epidemic risk prevention and control. To fill this gap, this research trys to provide support to help residents to form good health behavior norms and offer suggestions for community prevention management department. Combining the efficient and safe characteristics of the blockchain system, this research establishes an accurate and reliable community residents' epidemic prevention and control blockchain system dynamics model which includes community residents, epidemic prevention and control departments, residents' health behavior monitoring and incentive mechanisms. The simulation experiment of four different scenarios was carried out based on Vensim. The results show that the community supervision intensity is an indispensable and important factor in improving residents' health behavior norms. To help residents develop healthy behavior habits, it is necessary to vigorously improving supervision intensity of health behaviors while increase the collecting health behavior intensity and the incentive for health behaviors.