A kernel|modulated SIR model for Covid|19 contagious spread from ...

A kernel-modulated SIR model for Covid-19 contagious spread from ...

A kernel-modulated approach is developed to characterize the dynamic spreading of disease in a multifractal distributed susceptible population.

A kernel-modulated SIR model for Covid-19 contagious spread from ...

The tempo-spatial patterns of Covid-19 infections are a result of nested personal, societal, and political decisions that involve ...

A kernel-modulated SIR model for Covid-19 contagious ... - PNAS

A kernel-modulated approach is developed to characterize the dynamic spreading of disease in a multifractal distributed susceptible population.

A kernel-modulated SIR model for Covid-19 contagious spread from ...

A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. Author. X. Geng, G.G. Katul, F. Gerges, E. Bou-Zeid, H. Nassif, ...

A kernel-modulated SIR model for Covid-19 contagious spread from ...

Request PDF | A kernel-modulated SIR model for Covid-19 contagious spread from county to continent | The tempo-spatial patterns of Covid-19 infections are a ...

A kernel-modulated SIR model for Covid-19 contagious spread from ...

Dive into the research topics of 'A kernel-modulated SIR model for Covid-19 contagious spread from county to continent'. Together they form a unique fingerprint ...

A kernel-modulated SIR model for Covid-19 contagious spread from ...

Mentioning: 10 - The tempo-spatial patterns of Covid-19 infections are a result of nested personal, societal, and political decisions that involve ...

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Complex mathematical SIR model for spreading of COVID-19 virus ...

By this system, we can be able to define the transmission of such a contagious disease, which helps us to interpret the remedial measures to ...

An SIR epidemic model for COVID-19 spread with fuzzy parameter

Let β = β ( Ω ) be the chance of transmission between a suspected and an infected individual with the amount of the corona virus-load Ω. Some ...

Analysis of SIRVI model with time dependent coefficients and the ...

More recently, Singh and Gupta (Singh & Gupta, 2021) considered a more general SIR (GSIR) model to study the transmission of COVID-19. The effect of vaccination ...

A single-agent extension of the SIR model describes the impact of ...

... Covid-19 pandemic in some countries . Even in the simplest form with only three populations, SIR models are very effective in describing epidemic spread.

A kernel-modulated SIR model for Covid-19 contagious spread from ...

A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. DOI Web Site 被引用文献1件. Xiaolong Geng: Department of Civil and ...

Tracking the transmission dynamics of COVID‐19 with a time ...

... COVID-19 data and the compartmental model, the model addresses limitations in a classic SIR-style model for disease spread. Specifically, we ...

Exploring Radial Kernel on the Novel Forced SEYNHRV-S Model to ...

The main task of the present paper was to identify the variable transmission rate ( β 1 ) for a SIR-like model. ... COVID-19 Spread and the Variable Transmission ...

evaluation of mathematical models for the outbreak of COVID-19

The purpose of disease control is to build a predictive model in an effort to better understand the key factors that influence COVID-19 transmission. The SIR ...

Compartmental models in epidemiology - Wikipedia

An example of using the numerical SIR model to fit the COVID-19 ... "Mathematical models of SIR disease spread with combined non-sexual and sexual transmission ...

Mathematical modeling and forecasting of COVID-19 - SciELO México

As a result, a small number of cases is reported in the province of Santiago de Cuba. Mathematical models are useful for understanding the COVID-19 transmission ...

Differential effects of intervention timing on COVID-19 spread in the ...

The metapopulation model. We use a metapopulation susceptible-exposed-infectious-recovered (SEIR) model to simulate the transmission of COVID-19 among 3142 U.S. ...

Simulating real-life scenarios to better understand the spread of ...

embedded an infection model into a crowd simulator, also to assess COVID-19 transmission on a university campus. Each agent performed a closed- ...