ArticleChaos, solitons, and fractals2022
Non-Markovian SIR epidemic spreading model of COVID-19.
Article in Chaos, solitons, and fractals, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 31 citations in OpenAlex.
- Dynamic properties of Kermack-McKendrick-like models.PloS one · 2026Article
- Stochastic Compartment Model with Mortality and Its Application to Epidemic Spreading in Complex Networks.Entropy (Basel, Switzerland) · 2024Article
- Dynamics of a stochastic SEIQR model driven by Lévy jumps with bilinear incidence rates.PloS one · 2024Article
- Endemic state equivalence between non-Markovian SEIS and Markovian SIS model in complex networks.Physica A · 2022Article
- Estimation of the basic reproduction number of COVID-19 from the incubation period distribution.The European physical journal. Special topics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce non-Markovian SIR epidemic spreading model inspired by the characteristics of the COVID-19, by considering discrete- and continuous-time versions. The distributions of infection intensity and recovery period may take an arbitrary form. By taking corresponding choice of these functions, it is shown that the model reduces to the classical Markovian case. The epidemic threshold is analytically determined for arbitrary functions of infectivity and recovery and verified numerically. The relevance of the model is shown by modeling the first wave of the epidemic in Italy, Spain and the UK, in the spring, 2020.
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