ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2020
Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS.
Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: A systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Pooled it
- Indications for accurate and appropriate use of personal protective equipment for healthcare professionals. A systematic review.Sao Paulo medical journal = Revista paulista de medicinaPooled it
- A computational stochastic procedure for solving the epidemic breathing transmission system.Scientific reports · 2023Article
- An optimal control model for Covid-19 spread with impacts of vaccination and facemask.Heliyon · 2023Article
- COVID-19 outbreak: a predictive mathematical study incorporating shedding effect.Journal of applied mathematics & computing · 2023Article
- The mathematical relationship between COVID-19 cases and socio-economic indicators of OECD countries.Pathogens and global health · 2022Article
- Modeling Global COVID-19 Dissemination Data After the Emergence of Omicron Variant Using Multipronged Approaches.Current microbiology · 2022Article
- An epidemic-economic model for COVID-19.Mathematical biosciences and engineering : MBE · 2022Article
- Fractional-order backstepping strategy for fractional-order model of COVID-19 outbreak.Mathematical methods in the applied sciences · 2022Article
- The allometric propagation of COVID-19 is explained by human travel.Infectious Disease Modelling · 2022Article
- Nonlinear growth and mathematical modelling of COVID-19 in some African countries with the Atangana-Baleanu fractional derivative.Communications in nonlinear science & numerical simulation · 2022Article
- Mathematical analysis of the dynamics of COVID-19 in Africa under the influence of asymptomatic cases and re-infection.Mathematical methods in the applied sciences · 2022Article
- An extended robust mathematical model to project the course of COVID-19 epidemic in Iran.Annals of operations research · 2022Article
- Gompertz model in COVID-19 spreading simulation.Chaos, solitons, and fractals · 2022Article
- An Easy-to-Use Public Health-Driven Method (the Generalized Logistic Differential Equation Model) Accurately Simulated COVID-19 Epidemic in Wuhan and Correctly Determined the Early Warning Time.Frontiers in public health · 2022Article
- Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.Archives of computational methods in engineering : state of the art reviews · 2022Review
- Fractional dynamical probes in COVID-19 model with control interventions: a comparative assessment of eight most affected countries.European physical journal plus · 2022Article
- Global Analysis and Optimal Control Model of COVID-19.Computational and mathematical methods in medicine · 2022Article
- Mathematical modeling of the outbreak of COVID-19.Network modeling and analysis in health informatics and bioinformatics · 2022Article
- A Survey on Mathematical, Machine Learning and Deep Learning Models for COVID-19 Transmission and Diagnosis.IEEE reviews in biomedical engineering · 2022Review
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Abstract
The purpose of this paper is to reveal the spread rules of the three pneumonia: COVID-19, SARS and MERS. We compare the new spread characteristics of COVID-19 with those of SARS and MERS. By considering the growth rate and inhibition constant of infectious diseases, their propagation growth model is established. The parameters of the three coronavirus transmission growth models are obtained by nonlinear fitting. Parametric analysis shows that the growth rate of COVID-19 is about twice that of the SARS and MERS, and the COVID-19 doubling cycle is two to three days, suggesting that the number of COVID-19 patients would double in two to three days without human intervention. The infection inhibition constant in Hubei is two orders of magnitude lower than in other regions, which reasonably explains the situation of the COVID-19 outbreak in Hubei.
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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.