Results 51 to 60 of about 39,047,150 (349)
A simple SIR model with a large set of asymptomatic infectives [PDF]
There is increasing evidence that one of the most difficult problems in trying to control the ongoing COVID-19 epidemic is the presence of a large cohort of asymptomatic infectives.
G. Gaeta
semanticscholar +1 more source
Lyapunov functions for SIR and SIRS epidemic models
The authors consider the planar system \[ \begin{aligned} {dI\over dt} &= (q-\beta I-\beta R)I,\\ {dR\over dt} &= \gamma I-\omega R\end{aligned}\tag{\(*\)} \] related to epidemic models. Let \(Q_*= (I_*, R_*)\) be a positive equilibrium of \((*)\). It is shown that \[ U(I,R):= I- I_*\ln I+ a(R- R_*)^2 \] with \(a:= \beta/2\gamma> 0\) is a Lyapunov ...
Suzanne M. O'Regan +4 more
openaire +1 more source
This work proposes an interval-based uncertain Susceptible–Infected–Recovered (SIR) epidemic model. The interval model has been numerically solved by the homotopy analysis method (HAM).
Emmanuel A. Bakare +2 more
doaj +1 more source
Background: We investigate epidemiological models, their parameters, and the models’ predictive performance of daily new cases during the first three weeks of the SARS-CoV-2 outbreak in a southwest Georgia hotspot.
Daniel F. Linder +6 more
doaj +1 more source
A Fractional-Order Infectivity and Recovery SIR Model
The introduction of fractional-order derivatives to epidemiological compartment models, such as SIR models, has attracted much attention. When this introduction is done in an ad hoc manner, it is difficult to reconcile parameters in the resulting ...
Christopher N. Angstmann +2 more
doaj +1 more source
In late 2019, the unique severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, first emerged in Wuhan City, Hubei Province, China and quickly spread throughout the world. Until June 30, 2022, a total of 4,566,055 cases of
Yeong Kin Teoh +4 more
doaj +3 more sources
An adaptive social distancing SIR model for COVID-19 disease spreading and forecasting
Recently, various mathematical models have been proposed to model COVID-19 outbreak. These models are an effective tool to study the mechanisms of coronavirus spreading and to predict the future course of COVID-19 disease.
S. Gounane +5 more
semanticscholar +1 more source
Traveling Waves in Spatial SIRS Models [PDF]
We study traveling wavefront solutions for two reaction-diffusion systems, which are derived respectively as diffusion approximations to two nonlocal spatial SIRS models. These solutions characterize the propagating progress and speed of the spatial spread of underlying epidemic waves.
Ai, Shangbing, Albashaireh, Reem
openaire +2 more sources
Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
The paper investigates the spread pattern and dynamics of Covid-19 propagation based on SIR model. Using the model dynamics, an analytical estimation has been obtained for virus span, its longevity, growing pattern, etc.
Rahul Saxena, Mahipal Jadeja, V. Bhateja
semanticscholar +1 more source
On a stochastic SIR model [PDF]
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Tornatore, Elisabetta +1 more
openaire +4 more sources

