Aggregation Characteristics and Social Influencing Factors of COVID-19 in Shijiazhuang
- DOI
- 10.2991/978-94-6463-194-4_10How to use a DOI?
- Keywords
- COVID-19; aggregation characteristics; social factors; Shijiazhuang
- ABSTRACT
COVID-19 occurred in Shijiazhuang in early 2021, and it spread rapidly in rural areas in a short time, showing different characteristics from the urban epidemic. Information of 869 confirmed cases are collected to study epidemic aggregation characteristics in Shijiazhuang by the methods of spatial autocorrelation and hot spot analysis, and the influencing factors of epidemic transmission are explored by social network analysis method. The results showed that: From the time dimension, COVID-19 confirmed cases in Shijiazhuang were increasing in the early stage of the epidemic, and maintained a high level in the high-level epidemic period. From the spatial perspective, COVID-19 confirmed cases in Shijiazhuang were concentrated in the Northeast and showed strong aggregation characteristics in space. Then through the social network analysis of residents' contact relationship, it found that the epidemic was mainly spread through family, community and social contact. The results can provide reference for epidemic prevention and control in rural areas.
- 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 - Xufan Wei AU - Zhihai Shang AU - Baolin Jiang AU - Yingying Huang PY - 2023 DA - 2023/07/21 TI - Aggregation Characteristics and Social Influencing Factors of COVID-19 in Shijiazhuang BT - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022) PB - Atlantis Press SP - 62 EP - 68 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-194-4_10 DO - 10.2991/978-94-6463-194-4_10 ID - Wei2023 ER -