Reactive-diffusion epidemic model on human mobility networks: Analysis and applications to COVID-19 in China.

ABSTRACT: The complex dynamics of human mobility, combined with sporadic cases of local outbreaks, make assessing the impact of large-scale social distancing on COVID-19 propagation in China a challenge. In this paper, with the travel big dataset supported by Baidu migration platform, we develop a reactive-diffusion epidemic model on human mobility networks to characterize the spatio-temporal propagation of COVID-19, and a novel time-dependent function is incorporated into the model to describe the effects of human intervention. By applying the system control theory, we discuss both constant and time-varying threshold behavior of proposed model. In the context of population mobility-mediated epidemics in China, we explore the transmission patterns of COVID-19 in city clusters. The results suggest th

SUBMITTER: Li R 

PROVIDER: S-EPMC9677564 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature