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| Transmission Network Analysis of Respiratory Infectious Disease Clusters |
| JIAO Ran1, XU Xiaoke1,2
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1. School of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China;
2. School of Journalism and Communication, Beijing Normal University, Beijing 100875, China |
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Abstract To reveal the transmission characteristics of respiratory infectious diseases clustering epidemic and explore the crucial role of network science in infectious disease control, we constructed and analyzed transmission networks for clustering epidemic, social relationship transmission networks, directed weighted bipartite networks between two gender-based age groups, and their corresponding null model networks based on structured post-epidemiological investigation data. The results indicate that by extracting key indicators from epidemiological investigations, constructing transmission networks, and analyzing them, it is possible to accurately focus on epidemiological characteristics and understand the infection risk among different populations. The application of network science has the potential to enhance our understanding of and response to the risk challenges posed by emerging infectious diseases.
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Received: 21 July 2023
Published: 09 October 2025
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