On infectious diseases transmission based on traffic network

Autor: Ming-sheng Hu, Chuan-feng Cai, Zhi-juan Jia, Liu Xinxin
Rok vydání: 2017
Předmět:
Zdroj: 2017 29th Chinese Control And Decision Conference (CCDC).
DOI: 10.1109/ccdc.2017.7978754
Popis: Aiming at the great impact of the complex transportation network on the spread of infectious diseases, a propagation model of infectious disease dynamics in complex social traffic network based on Markov chain model is proposed. The model is based on the common traffic network of highway, high-speed railway, self-driving and aviation as the breakthrough point of the study of infectious disease transmission model, and establishes the social traffic network topology under the real environment and constructs the infectious disease risk index model. In this paper, nearly a decade of new influenza virus infection as an example, the number of severe cases of infection to verify the number of validated standards. The experimental results show that the model has a positive correlation with the actual case data, so the model has a certain value in predicting the potential infectious risk degree of infectious diseases.
Databáze: OpenAIRE