智能科学与技术学报 (Mar 2020)
The evaluation of the control measures for COVID-19 based on ACP approach
Abstract
It is theoretical and practical significance for epidemic prevention and control to evaluate epidemic control measures using information technology so as to guide the implementation of epidemic control measures.Based on ACP approach and statistical data,a platform of computation experiment for artificial city was constructed,from which artificial models were established for three typical places,namely community,school and factory,to support the evaluation of specific epidemic control measures.The control measures of COVID-19 were evaluated through the computational experiments.The results showed that the control measures of quarantine and self-protection could only delay the peak of the number of infected people in the epidemic,but had no obvious effect on reducing the total number of infected people.Only the isolation measure with huge economic cost could significantly inhibit the development of the epidemic.The effect of the isolation measures showed that effectively blocking the “person-to-person”transmission chain was the key to the epidemic control.Therefore,it was recommended to adopt comprehensive means involving inspection and quarantine,big data,artificial intelligence and so on to accurately screen the patients and potential infected people.
