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Contact network analysis of Covid-19 in tourist areas——Based on 333 confirmed cases in China

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  • Zhangbo Yang
  • Jingen Song
  • Shanxing Gao
  • Hui Wang
  • Yingfei Du
  • Qiuyue Lin

Abstract

The spread of infectious diseases is highly related to the structure of human networks. Analyzing the contact network of patients can help clarify the path of virus transmission. Based on confirmed cases of COVID-19 in two major tourist provinces in southern China (Hainan and Yunnan), this study analyzed the epidemiological characteristics and dynamic contact network structure of patients in these two places. Results show that: (1) There are more female patients than males in these two districts and most are imported cases, with an average age of 45 years. Medical measures were given in less than 3 days after symptoms appeared. (2) The whole contact network of the two areas is disconnected. There are a small number of transmission chains in the network. The average values of degree centrality, betweenness centrality, and PageRank index are small. Few patients have a relatively high contact number. There is no superspreader in the network.

Suggested Citation

  • Zhangbo Yang & Jingen Song & Shanxing Gao & Hui Wang & Yingfei Du & Qiuyue Lin, 2021. "Contact network analysis of Covid-19 in tourist areas——Based on 333 confirmed cases in China," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0261335
    DOI: 10.1371/journal.pone.0261335
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    References listed on IDEAS

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    2. Jayson S. Jia & Xin Lu & Yun Yuan & Ge Xu & Jianmin Jia & Nicholas A. Christakis, 2020. "Population flow drives spatio-temporal distribution of COVID-19 in China," Nature, Nature, vol. 582(7812), pages 389-394, June.
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