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Anticipating Subsequent Waves from First Wave Parameters in the Ongoing Covid-19 Pandemic
(Institute of Electrical and Electronics Engineers, 2021-08-19)
This paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. ...
Acceso restringido
Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic
(Springer, 2022-01-01)
This paper targets to study the concrete scenario of aerosols transporting virus fact that is seen as a potential cause of massive infections in open spaces through the usage of a two dimension theory. For this end, the ...
Acceso restringido
Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present
(Universidad Autónoma del Perú, 2021-10-18)
The data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging ...
Acceso restringido
Identifying Second Wave and New Variants of Covid-19 from Shannon Entropy in Global Pandemic Data
(Institute of Electrical and Electronics Engineers, 2021-08-19)
In most countries that have been affected by the arrival of Corona Virus Disease 2019 (or Covid-19 in short), the surveillance of daily state of management of pandemic is reflected on the histogram of number of confirmed ...
Acceso restringido
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis
(Institute of Electrical and Electronics Engineers, 2021-12-15)
From data of USA, Japan, Germany, UK, Italy and Russian, it is claimed that the Global pandemic dictated by the dynamics of Corona virus exhibits distributions that would correspond to a morphology of Bessel-like type. ...
Acceso abierto
Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic
(Universidad Autónoma del Perú, 2021-10-18)
Based in the fact that ongoing pandemic is caused by a kind of disorder, this paper employs the concept of Shannon entropy to model data of infections by Covid-19. The usage of this represents a proposal as a type of ...
Acceso restringido
The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
(Springer, 2021-09)
The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various ...
Acceso restringido
Spreading of Corona Virus in Central Europe: The Cases of Italy and Spain and the Very Beginning of Pandemic
(Institute of Electrical and Electronics Engineers, 2021-11)
In this paper a mathematical model that focuses at the very beginning of pandemic at Europe is presented. In essence it is assumed that once the virus arrived to Italy then the geographical propagation was done through ...
Acceso restringido
Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models
(IEEE, 2021)
Once initialized the first wave of pandemic due to Covid-19 pandemic, it was seen in most countries a common pattern that gives account about the number of infections. Nevertheless one finds also that in mosly of these ...
Acceso restringido
Probabilities of Risk Due to Random Aerosol Displacement and Aleatory Social Distancing
(IEEE, 2021)
With the apparition of Corona Virus Disease (Covid-19 in short) a plethora of mechanisms have emerged in order to protect people. One of them is the well-known social distancing that is a global protocol that has emerged ...
Acceso restringido