ArticleScientific reports2022
Spread of variants of epidemic disease based on the microscopic numerical simulations on networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Clustering-based methodology for comparing multi-characteristic epidemiological dynamics with application to COVID-19 epidemiology in Europe.Royal Society open science · 2025Article
- A computational model of epidemic process with three variants on a synthesized human interaction network.Scientific reports · 2024Article
- Performance characteristics of the boson rapid SARS-cov-2 antigen test card vs RT-PCR: Cross-reactivity and emerging variants.Heliyon · 2023Article
- Stochasticity of disease spreading derived from the microscopic simulation approach for various physical contact networks.Applied mathematics and computation · 2022Article
- Modelling the interplay of SARS-CoV-2 variants in the United Kingdom.Scientific reports · 2022Article
- Analysis of the competition among viral strains using a temporal interaction-driven contagion model.Scientific reports · 2022Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Viruses constantly undergo mutations with genomic changes. The propagation of variants of viruses is an interesting problem. We perform numerical simulations of the microscopic epidemic model based on network theory for the spread of variants. Assume that a small number of individuals infected with the variant are added to widespread infection with the original virus. When a highly infectious variant that is more transmissible than the original lineage is added, the variant spreads quickly to the wide space. On the other hand, if the infectivity is about the same as that of the original virus, the infection will not spread. The rate of spread is not linear as a function of the infection strength but increases non-linearly. This cannot be explained by the compartmental model of epidemiology but can be understood in terms of the dynamic absorbing state known from the contact process.
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