  The ongoing coronavirus disease 2019 (COVID-19) pandemic has wreaked havoc
worldwide with millions of lives claimed, human travel restricted and economic
development halted. Leveraging city-level mobility and case data, our analysis
shows that the spatial dissemination of COVID-19 can be well explained by a
local diffusion process in the mobility network rather than a global diffusion
process, indicating the effectiveness of the implemented disease prevention and
control measures. Based on the constructed case prediction model, it is
estimated that there could be distinct social consequences if the COVID-19
outbreak happened in different areas. During the epidemic control period, human
mobility experienced substantial reductions and the mobility network underwent
remarkable local and global structural changes toward containing the spread of
COVID-19. Our work has important implications for the mitigation of disease and
the evaluation of the socio-economic consequences of COVID-19 on society.
