Aggregation Characteristics and Social Influencing Factors of COVID-19 in Shijiazhuang

Xufan Wei, Zhihai Shang (), Baolin Jiang and Yingying Huang
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Xufan Wei: Lingnan Normal University, School of Geographical Sciences
Zhihai Shang: Lingnan Normal University, School of Geographical Sciences
Baolin Jiang: Lingnan Normal University, School of Geographical Sciences
Yingying Huang: Lingnan Normal University, School of Geographical Sciences

A chapter in Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), 2023, pp 62-68 from Springer

Abstract: 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.

Keywords: COVID-19; aggregation characteristics; social factors; Shijiazhuang (search for similar items in EconPapers)
Date: 2023
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DOI: 10.2991/978-94-6463-194-4_10

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