Advancements in Epidemic Transmission Suppression: A Comprehensive Survey

The large-scale spread of epidemics poses a serious threat to human life and health security. It disrupts educational development, cripples the global economy, triggers social unrest, and jeopardizes global stability. Consequently, understanding how to rapidly comprehend the transmission of epidemics and control their outbreaks has become a prominent topic in the field of epidemiology. This paper provides a comprehensive overview of the application of computer technology in epidemiological research, categorizing the challenge of curbing epidemic spread into three key areas: 1) epidemic transmission, 2) epidemic source tracing, and 3) epidemic suppression strategies. Each area is thoroughly reviewed and summarized. First, in the context of epidemic transmission, this paper summarizes various transmission models used to describe and predict the spread of epidemics within populations. Second, regarding epidemic source tracing, the paper reviews relevant studies from the perspectives of single-source and multi-source detection. Third, in terms of epidemic suppression strategies, it offers a detailed overview of diverse approaches aimed at reducing the spread and prevalence of diseases among populations. Finally, the paper discusses the challenges faced in the field of epidemic suppression and explores potential future directions for research and development.