ArticleScientific reports2021
Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- A spatio-temporal causal network for multi-scale analysis of infectious respiratory diseases transmission.Infectious Disease Modelling · 2026Article
- Bridging the Gap: Integrating Knowledge from the Study of Social Network Analysis and Infectious Disease Dynamics in Human and Nonhuman Primates.Annual review of anthropology · 2024Article
- Spatial networks and the spread of COVID-19: results and policy implications from Germany.Jahrbuch fur Regionalwissenschaftt = Review of regional research · 2023Article
- Contact network analysis of COVID-19 Delta variant outbreak in urban China -based on 2,050 confirmed cases in Xi'an, China.BMC public health · 2022Article
- Sociodemographic and Policy Factors Associated with the Transmission of COVID-19: Analyzing Longitudinal Contact Tracing Data from a Northern Chinese City.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak: An Analysis Based on 1218 COVID-19 Cases in China.International journal of environmental research and public health · 2022Article
- Empirical Analysis of the Dynamics of the COVID-19 Epidemic in Urban Embedded Social Networks.Frontiers in public health · 2022Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The spread of COVID-19 is closely related to the structure of human social networks. Based on 237 cases, by using epidemiological retrospective statistics, data visualization, and social network analysis methods, this paper summarized characteristics of patients with COVID-19 in Shaanxi, China, and analyzed these patients' dynamic contact network structure. The study found that there are many clustered infections through strong ties, about one-third of cases are caused by relatives' infection. In early stages of the epidemic, imported cases were the most, and in the later stages, local infection cases were the most. The infected people were mostly middle-aged men. Symptoms of imported cases occurred on average of 3 days after they arrived, and medical measures were taken 5 days later on average. All cases showed symptoms in less than 2 days on average and were then taken to medical treatment. The contact network can be divided into multiple disconnected components. The largest component has 12 patients. The average degree centrality in the network is 0.987, average betweenness degree is 0, average closeness degree is 0.452, and average PageRank index is 0.0042. The number of contacts of patients is unevenly distributed in the network.
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