ReviewInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Visualizing COVID-19 pandemic risk through network connectedness.
Review 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 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
25 citing papers in PubMed.
- EconoGNN: A graph neural network framework for temporal economic resilience insights.PloS one · 2026Article
- What makes health systems resilient? An analytical framework drawing on European learnings from the COVID-19 pandemic based on a multitiered approach.BMJ public health · 2024Article
- COVID-19 Pandemic Risk Assessment: Systematic Review.Risk management and healthcare policy · 2024Review
- Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.JMIR public health and surveillance · 2023Article
- A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media.Sensors (Basel, Switzerland) · 2023Review
- Leadership and contagion by COVID-19 among residence hall students: A social network analysis approach.Social networks · 2023Article
- A latent space model and Hotelling's TJournal of applied statistics · 2023Article
- Article
- A moving-window bayesian network model for assessing systemic risk in financial markets.PloS one · 2023Article
- A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia.Healthcare analytics (New York, N.Y.) · 2022Article
- Effects of Ultramicronized Palmitoylethanolamide (um-PEA) in COVID-19 Early Stages: A Case-Control Study.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Assessing systemic risk in financial markets using dynamic topic networks.Scientific reports · 2022Article
- Did green debt instruments aid diversification during the COVID-19 pandemic?Financial innovation · 2022Article
- Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2022Article
- Stochastic actor-oriented modelling of the impact of COVID-19 on financial network evolution.Stat (International Statistical Institute) · 2021Article
- Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.BMC health services research · 2021Article
- Understanding small Chinese cities as COVID-19 hotspots with an urban epidemic hazard index.Scientific reports · 2021Article
- Leveraging artificial intelligence to analyze the COVID-19 distribution pattern based on socio-economic determinants.Sustainable cities and society · 2021Article
- Density or Connectivity: What Are the Main Causes of the Spatial Proliferation of COVID-19 in Korea?International journal of environmental research and public health · 2021Article
- Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis.JMIR public health and surveillance · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the domestic and international spread of the coronavirus disease 2019 (COVID-19), much attention has been given to estimating pandemic risk. We propose the novel application of a well-established scientific approach - the network analysis - to provide a direct visualization of the COVID-19 pandemic risk; infographics are provided in the figures. By showing visually the degree of connectedness between different regions based on reported confirmed cases of COVID-19, we demonstrate that network analysis provides a relatively simple yet powerful way to estimate the pandemic risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.