Risk Analysis and Emergency Control of Epidemic Public Health Emergencies Based on Disaster Chain Network Model
- DOI
- 10.2991/978-94-6463-056-5_20How to use a DOI?
- Keywords
- disaster chain theory; public health emergencies; COVID-19; risk analysis; emergency control
- Abstract
In recent years, with the development of society and the acceleration of urbanization, all kinds of health and safety events have gradually moved closer to the chain structure, and the losses caused by the chain effect are huge. Based on the theory of disaster chain, the paper expounds the following effects of public health emergencies triggered by COVID-19, and constructs a series of disaster chain structure, and carries out risk analysis from the nodes and sides of the disaster chain. The influence degree of each secondary disaster caused by COVID-19 is analyzed, and the key nodes with the greatest impact are obtained, and effective emergency prevention and control measures for key nodes are put forward. The relevant research provides scientific methods and reference basis for the emergency management of infectious diseases and public health events.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yu Dong AU - Yuanyuan Liu PY - 2022 DA - 2022/12/29 TI - Risk Analysis and Emergency Control of Epidemic Public Health Emergencies Based on Disaster Chain Network Model BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 143 EP - 149 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_20 DO - 10.2991/978-94-6463-056-5_20 ID - Dong2022 ER -