ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Early network properties of the COVID-19 pandemic - The Chinese scenario.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Combinatorial (bio-geo-temporal) and non-combinatorial analysis of the COVID-19 dissemination that affected Georgia (the country) in 2021.Frontiers in public health · 2026Article
- Multidimensional perspectives of geo-epidemiology: from interdisciplinary learning and research to cost-benefit oriented decision-making.Frontiers in public health · 2024Article
- Assessing complexity and dynamics in epidemics: geographical barriers and facilitators of foot-and-mouth disease dissemination.Frontiers in veterinary science · 2023Article
- COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities.Methods (San Diego, Calif.) · 2021Review
- Test positivity - Evaluation of a new metric to assess epidemic dispersal mediated by non-symptomatic cases.Methods (San Diego, Calif.) · 2021Article
- Exploring senior managers' perceptions of the COVID-19 Crisis in Iran: a qualitative content analysis study.BMC health services research · 2021Article
- Geospatial Analysis of COVID-19: A Scoping Review.International journal of environmental research and public health · 2021Article
- Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective.Frontiers in public healthArticle
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo control epidemics, sites more affected by mortality should be identified.
methodsDefining epidemic nodes as areas that included both most fatalities per time unit and connections, such as highways, geo-temporal Chinese data on the COVID-19 epidemic were investigated with linear, logarithmic, power, growth, exponential, and logistic regression models. A z-test compared the slopes observed.
resultsTwenty provinces suspected to act as epidemic nodes were empirically investigated. Five provinces displayed synchronicity, long-distance connections, directionality and assortativity - network properties that helped discriminate epidemic nodes. The rank I node included most fatalities and was activated first. Fewer deaths were reported, later, by rank II and III nodes, while the data from rank I-III nodes exhibited slopes, the data from the remaining provinces did not. The power curve was the best fitting model for all slopes. Because all pairs (rank I vs. rank II, rank I vs. rank III, and rank II vs. rank III) of epidemic nodes differed statistically, rank I-III epidemic nodes were geo-temporally and statistically distinguishable.
conclusionsThe geo-temporal progression of epidemics seems to be highly structured. Epidemic network properties can distinguish regions that differ in mortality. This real-time geo-referenced analysis can inform both decision-makers and clinicians.
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