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DYNAMIC ANALYSIS OF THE COVID-19 MODEL WITH ISOLATION FACTORS
Barekeng, 2022 Covid-19 is a type of infectious disease caused by SARS Cov-2. This virus has spread throughout the world to cause a pandemic. This study aimed to model and analyze the spread of Covid-19 with the isolation factor. The spread of Covid-19 can be made into
Atika Ratna Dewi +2 more
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Detections and SIR simulations of the COVID-19 pandemic waves in Ukraine
Computational and Mathematical Biophysics, 2021 Background. Unfortunately, the COVID-19 pandemic is still far from stabilizing. Of particular concern is the sharp increase in the number of diseases in June-July, September-October 2020 and February-March 2021.
Nesteruk Igor
doaj +1 more source
Influential Nodes Identification in Complex Networks via Information Entropy
Entropy, 2020 Identifying a set of influential nodes is an important topic in complex networks which plays a crucial role in many applications, such as market advertising, rumor controlling, and predicting valuable scientific publications.
Chungu Guo +5 more
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Arab Journal of Basic and Applied Sciences, 2021 The Coronavirus Disease 2019 (COVID-19) is a pulmonary disease produced by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has become a global pandemic March 2019.
A. Haj Ismail +4 more
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The SIR epidemic model from a PDE point of view
, 2009 We present a derivation of the classical SIR model through a mean-field approximation from a discrete version of SIR. We then obtain a hyperbolic forward Kolmogorov equation, and show that its projected characteristics recover the standard SIR model ...
Allen +18 more
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The first 100 days: modeling the evolution of the COVID-19 pandemic
, 2020 A simple analytical model for modeling the evolution of the 2020 COVID-19 pandemic is presented. The model is based on the numerical solution of the widely used Susceptible-Infectious-Removed (SIR) populations model for describing epidemics.
Angelaki, Eleni +2 more
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Modelling the spread of American foulbrood in honeybees [PDF]
, 2013 We investigate the spread of American foulbrood (AFB), a disease caused by the bacterium Paenibacillus larvae, that affects bees and can be extremely damaging to beehives.
Camphor E +9 more
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A real-world data validation of the value of early-stage SIR modelling to public health
Scientific Reports, 2023 Performance of Susceptible-Infected-Recovered (SIR) model in the early stage of a novel epidemic may be hindered by data availability. Additionally, the traditional SIR model may oversimplify the disease progress, and knowledge about the virus and ...
Taoran Liu +6 more
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Extracting the time-dependent transmission rate from infection data via solution of an inverse ODE problem [PDF]
, 2012 The transmission rate of many acute infectious diseases varies significantly in time, but the underlying mechanisms are usually uncertain. They may include seasonal changes in the environment, contact rate, immune system response, etc.
Anderson R. M. +10 more
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