ArticleInfectious Disease Modelling2020
Qualitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment.
Article in Infectious Disease Modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Analysis of the impact of treatments on HIV/AIDS and Tuberculosis co-infected population under random perturbations.Infectious Disease Modelling · 2024Article
- An Effective Strategy and Mathematical Model to Predict the Sustainable Evolution of the Impact of the Pandemic Lockdown.Healthcare (Basel, Switzerland) · 2022Article
- Analysis of multi-strain infection of vaccinated and recovered population through epidemic model: Application to COVID-19.PloS one · 2022Article
- Estimation of epidemiological parameters for COVID-19 cases using a stochastic SEIRS epidemic model with vital dynamics.Results in physics · 2021Article
- Modeling the Dynamics of Coronavirus Disease Pandemic Coupled with Fear Epidemics.Computational and mathematical methods in medicine · 2021Article
- Logistic equation and COVID-19.Chaos, solitons, and fractals · 2020Article
- Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach.International journal of environmental research and public health · 2020Article
- Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic.Infectious Disease Modelling · 2020Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a mathematical analysis of the transmission of certain diseases using a stochastic susceptible-exposed-infectious-treated-recovered (SEITR) model with multiple stages of infection and treatment and explore the effects of treatments and external fluctuations in the transmission, treatment and recovery rates. We assume external fluctuations are caused by variability in the number of contacts between infected and susceptible individuals. It is shown that the expected number of secondary infections produced (in the absence of noise) reduces as treatment is introduced into the population. By defining
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