ArticlePhysica A2021
Epidemic model on a network: Analysis and applications to COVID-19.
Article in Physica A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Dynamics and optimal control of a weighted-network dengue model with seasonal transmission.Infectious Disease Modelling · 2026Article
- LOMDP: Maximizing Desired Opinions in Social Networks by Considering User Expression Intentions.Entropy (Basel, Switzerland) · 2025Article
- Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands.Scientific reports · 2024Article
- Population density impact on COVID-19 mortality rate: A multifractal analysis using French data.Physica A · 2022Article
- The impact of vaccination on the spread of COVID-19: Studying by a mathematical model.Physica A · 2022Article
- A proposed fractional dynamic system and Monte Carlo-based back analysis for simulating the spreading profile of COVID-19.The European physical journal. Special topics · 2022Article
- A new logistic growth model applied to COVID-19 fatality data.Epidemics · 2021Article
- Seesaw scenarios of lockdown for COVID-19 pandemic: Simulation and failure analysis.Sustainable cities and society · 2021Article
- Adherence to COVID-19 Prevention Measures in the Democratic Republic of the Congo, Results of Two Consecutive Online Surveys.International journal of environmental research and public health · 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
We analyze an epidemic model on a network consisting of susceptible-infected-recovered equations at the nodes coupled by diffusion using a graph Laplacian. We introduce an epidemic criterion and examine different isolation strategies: we prove that it is most effective to isolate a node of highest degree. The model is also useful to evaluate deconfinement scenarios and prevent a so-called second wave. The model has few parameters enabling fitting to the data and the essential ingredient of importation of infected; these features are particularly important for the current COVID-19 epidemic.
Identifiers
What OpenQuestion holds
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.