ArticleAdvances in difference equations2021
An SIR epidemic model for COVID-19 spread with fuzzy parameter: the case of Indonesia.
Article in Advances in difference equations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Numerical investigation of a typhoid disease model in fuzzy environment.Scientific reports · 2023Article
- Article
- Quantitative relationships between national cultures and the increase in cases of novel coronavirus pneumonia.Scientific reports · 2023Article
- The influence of quadratic Lévy noise on the dynamic of an SIC contagious illness model: New framework, critical comparison and an application to COVID-19 (SARS-CoV-2) case.Chaos, solitons, and fractals · 2022Article
- A method for forecasting the number of hospitalized and deceased based on the number of newly infected during a pandemic.Scientific reports · 2022Article
- Article
- A particle swarm optimization approach for predicting the number of COVID-19 deaths.Scientific reports · 2021Review
- Modeling the survival times of the COVID-19 patients with a new statistical model: A case study from China.PloS one · 2021Article
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Authors and funding
5 authors.
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Abstract
The aim of this research is to construct an SIR model for COVID-19 with fuzzy parameters. The SIR model is constructed by considering the factors of vaccination, treatment, obedience in implementing health protocols, and the corona virus-load. Parameters of the infection rate, recovery rate, and death rate due to COVID-19 are constructed as a fuzzy number, and their membership functions are used in the model as fuzzy parameters. The model analysis uses the generation matrix method to obtain the basic reproduction number and the stability of the model's equilibrium points. Simulation results show that differences in corona virus-loads will also cause differences in the transmission of COVID-19. Likewise, the factors of vaccination and obedience in implementing health protocols have the same effect in slowing or stopping the transmission of COVID-19 in Indonesia.
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