Results 11 to 20 of about 267,158 (314)
Supply Chain Risk Diffusion in Partially Mapping Double-Layer Hypernetworks
The impact of COVID-19 is global, and uncertain information will affect product quality and worker efficiency in the complex supply chain network, thus bringing risks.
Ping Yu +3 more
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A process of rumour scotching on finite populations [PDF]
Rumour spreading is a ubiquitous phenomenon in social and technological networks. Traditional models consider that the rumour is propagated by pairwise interactions between spreaders and ignorants.
Guilherme Ferraz de Arruda +3 more
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Impact of war on COVID-19 pandemic in Ukraine: the simulation study
The COVID-19 pandemic has posed a challenge to public health systems worldwide. As of March 2022, almost 500 million cases have been reported worldwide. More than 6.2 million people died.
Dmytro Chumachenko +3 more
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A dynamic microsimulation model for epidemics [PDF]
Funder: The Alan Turing ...
Fiona Spooner +15 more
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Integrating stochasticity and network structure into an epidemic model [PDF]
While the foundations of modern epidemiology are based upon deterministic models with homogeneous mixing, it is being increasingly realized that both spatial structure and stochasticity play major roles in shaping epidemic dynamics.
Dangerfield, C. E. +4 more
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Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City
In this article we study the efficacy of vaccination in epidemiological reconstructions of COVID-19 epidemics from reported cases data. Given an epidemiological model, we developed in previous studies a method that allowed the computation of an ...
Jacques Demongeot +3 more
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Accuracy of models for the 2001 foot-and-mouth epidemic [PDF]
Since 2001 models of the spread of foot-and-mouth disease, supported by the data from the UK epidemic, have been expounded as some of the best examples of problem-driven epidemic models.
Bessell, Paul R. +17 more
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Networks and epidemic models [PDF]
Networks and the epidemiology of directly transmitted infectious diseases are fundamentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a ‘mixing ...
Matt J, Keeling, Ken T D, Eames
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Predictive model of COVID-19 epidemic process based on neural network
The COVID-19 pandemic, which has been going on for almost three years, has shown that public health systems are not ready for such a challenge. Measures taken by governments in the healthcare sector in the context of a sharp increase in the pressure on ...
Serhii Krivtsov +3 more
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On a Discrete Epidemic Model [PDF]
We investigate the global asymptotic behavior of solutions of the difference equationxn+1=(1−∑j=0k−1xn−j)(1−e−Axn),n∈ℕ0, whereA∈(0,∞),k∈{2,3,…}, and the initial valuesx−k+1,x−k+2,…,x0are arbitrary negative numbers. Asymptotics of some positive solutions of the equation are also found.
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