ArticleChaos, solitons, and fractals2020
Simplified model of Covid-19 epidemic prognosis under quarantine and estimation of quarantine effectiveness.
Article in Chaos, solitons, and fractals, 2020. 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.
- Exploring optimal control strategies in a nonlinear fractional bi-susceptible model for Covid-19 dynamics using Atangana-Baleanu derivative.Scientific reports · 2024Article
- A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19.Applied soft computing · 2021Article
- Sen's Innovative Method for Trend Analysis of Epidemic: A Case Study of Covid-19 Pandemic in India.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021Article
- Complex dynamics in susceptible-infected models for COVID-19 with multi-drug resistance.Chaos, solitons, and fractals · 2020Article
- Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic.Chaos, solitons, and fractals · 2020Article
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Authors and funding
5 authors.
Funding
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Abstract
A simplified model of Covid-19 epidemic dynamics under quarantine conditions and method to estimate quarantine effectiveness are developed. The model is based on the daily growth rate of new infections when total number of infections is significantly smaller than population size of infected country or region. The model is developed on the basis of collected epidemiological data of Covid19 pandemic, which shows that the daily growth rate of new infections has tendency to decrease linearly when the quarantine is imposed in a country (or a region) until it reaches a constant value, which corresponds to the effectiveness of quarantine measures taken in the country. The daily growth rate of new infections can be used as criteria to estimate quarantine effectiveness.
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