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1.
22nd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2022 ; : 152-157, 2022.
Article in English | Scopus | ID: covidwho-2191684

ABSTRACT

Although a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data up to end of July. It is observed that data possibly is not following a similar shape than the ongoing Covid-19 pandemic. With this, a model is developed to be confronted to current data. Furthermore, the spread of Monkeypox is discussed in terms of geographical topologies. From it, it is demonstrated that a diffusion equation might be underlying the spatial propagation that would depend on the velocity of transmission. A mathematical interpretation of ongoing data in terms of proposed model based at peaked and exponential distributions is presented. © 2022 IEEE.

2.
22nd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2022 ; : 146-151, 2022.
Article in English | Scopus | ID: covidwho-2191683

ABSTRACT

Commonly in pandemic times, curfew and social restrictions are applied in order to minimize the infections. As seen recently at the beginning of Covid-19 it was required that people avoid public spaces because the risk of infection due to transmission through aerosols. This paper proposes a theory of Internet of Pandemic Things Network that consists in four fundamental steps: (i) Bio-sensing of virus in open places, (ii) Sending to the network of report about the virus characteristics, (iii) Emission of innocuous radiation within a limited spatial coverage and (iv) checking out of radiated area if apt for public usage. In this manner equations from classical electrodynamics are derived in closed-form. Essentially it is presented a theory that aims to neutralize electrically charged proteins of virus in open places. Simulations based at this are presented. © 2022 IEEE.

3.
16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2078230

ABSTRACT

Commonly in High Energy Physics (HEP) it is applied a set of cuts to discriminate the background events from the searched signal. In order to claim any discovery the signal should be big enough in comparison to noise. In this paper this procedure is approximately done to study the behavior of the statistics of infections by the variant called Omicron and the previous ones at the period 2020-2022 inside the context of the pandemic of Covid-19. Under the HEP view, Omicron would be the signal whereas all others fit well their role as background. This allows to claim that Omicron might not be directly linked to the Corona virus family in according to analysis presented at this study. © 2022 IEEE.

4.
2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2063242

ABSTRACT

This paper proposes a methodology in which an electromagnetic pulse can be isotropically radiated on those places where there is a huge accumulation of infected aerosols that have been exhaled. To accomplish this end, a network of Internet Protocols are simultaneously working either sensing through a transducer and on the other side a source of radiation at innocuous frequencies to living beings. While the 3C-like protease (protein) as part of Corona virus contains ions in their tails, then the interaction ion-field might to minimize capabilities of virus while it is in the aerosol and thus minimize capabilities to produce the public infection when the aerosols have been inhaled. Indeed, the prospective implementation of reconfigurable walls might to deplete in a large fraction the virus indoor particularly in those places where face-to-face activities are needed even at pandemic epochs. © 2022 IEEE.

5.
2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2063236

ABSTRACT

At the end of 2021, a 4th wave of Corona Virus 2019 (Covid-19 in short) pandemic has emerged at Germany against the expectations after a vaccination program that could have reached a 3/4 of German population (to date). It is actually interesting that the peak of infections at the third week of November is twice than the second wave as seen at data one year ago despite that at that times the vaccination scheme was still modest. This paper focuses at Germany and its ongoing wave that is perceived as a consequence of a type of entropy because the mobility of virus and infections. In addition the consequences of this entropy and the possible correlation at the neighbors countries such as Austria and Czech are analyzed. © 2022 IEEE.

6.
2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2063234

ABSTRACT

As perceived at mostly countries, after the 3th or 4th wave of Covid-19 pandemic, its potential end might be coming. In contrast to previous waves, the last one exhibits different characteristics such as a highly exponential behavior or also a sharped Gauss behavior as seen at the huge number of infections at America and Europe. In this paper is proposed the idea that the whole pandemic is clearly composed by a sinusoid and Gaussian functions. This claim is based at the world-wide data that exhbits a similar shape with the proposed scheme at this study. Thus, the pandemic can also be seen as a signal-noise being the Omicron variant the signal whereas the previous mutations can be seen as their background events or noise. © 2022 IEEE.

7.
Intelligent Systems Conference, IntelliSys 2022 ; 542 LNNS:505-513, 2023.
Article in English | Scopus | ID: covidwho-2048136

ABSTRACT

Between the end of second semester of 2020 and along the first semester of 2021, Covid-19 has had a strong impact on United States and India as seen at the official statistics exhibiting a big number of new infections as well as fatalities, particularly India that have had sharp peaks at March 2021. The present paper addresses the question if there is a entropic nature in these cases from an intuitive model based at simple geometries that adjust well the histograms of new infections versus time. Although the geometry-based models might not be satisfactory in all, it provides a view that would lead to answer intrinsic questions related to the highest peaks of pandemic if these have a nature cause or are strongly related to disorder as dictated by Shannon’s entropy for instance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

8.
Computing Conference, 2022 ; 508 LNNS:169-178, 2022.
Article in English | Scopus | ID: covidwho-1971553

ABSTRACT

Along the weeks of symptoms due Corona Virus Disease 2019 (Covid-19 in short), patients are exhibiting an inverse relation between Oxygen saturation and beats per minute. Thus, the scenarios of the highest cardiac pulse might be against of an acceptable recovery of patient that in some cases would need of an extra assessment with Cardiologist in order to discard arrhythmias that would emerge due to the unknown effects of Corona Virus in the cardiac muscle. Therefore the increasing of Oxygen saturation is seen as a rapid action to be taken in the shortest periods. In this paper, a theoretical proposal entirely based in the interrelation among Oxygen, cardiac pulse and weight of is presented. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

9.
6th International Conference on Computing, Communication and Security, ICCCS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1901435

ABSTRACT

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 in 2020 in order to be applied in pandemic times. The protocol persists to date event when people have got the vaccine because the mutation of virus and the risk to be infected again. Commonly these distances have been established to be in the range of distances between 1.5 and 2.0 meters, that in a first instance would guarantee a common and healthy interaction among people. Although very little information on the calculation of this is known, this paper proposes a theory by the which the social distancing might be strongly dependent on stochastic events, so that this study deepens the origin with respect the true or approximated value of social distancing. Simulations and estimations are presented. © 2021 IEEE.

10.
2022 IEEE-EMB Special Topic Conference on Healthcare Innovations and Point of Care Technologies, HI-POCT 2022 ; : 63-66, 2022.
Article in English | Scopus | ID: covidwho-1831763

ABSTRACT

In pandemic times, in most countries the closing of airports and local as well as international flights are done in a coherent manner that allow people to improve their decisions respect to the mobility that might emerge in each case. Once that travelers have moved to a different country or city, it is mandatory that all of them have an updated knowledge of the ongoing pandemic whose main variable is the number of infections at time and certain geographic area. In this paper, an universal algorithm that underlines its usage in different places is presented. With this the estimation error is also provided. The purpose of this study is to provide a theory inside a framework of applications for smartphone to provide information about the places with infections, vaccination rate and fatalities. This might be of relevance for travelers that can carry out spatial displacements with certain security by empowering them to improve their daily objectives still at pandemic times. © 2022 IEEE.

11.
21st IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE) ; 2021.
Article in English | Web of Science | ID: covidwho-1764814

ABSTRACT

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. Under the assumption that the pandemic contains phases of infection denoted by the velocity and acceleration of propagation of virus, then a model of polynomials given by the integer-order Bessel functions is proposed. These polynomials enter in a statistical approach to define the law of infections as function of time for the ongoing global pandemic. From this, the data evolution and their different behaviors are interpreted in terms of the different phases including the Delta variant for the recent months until August 2021.

12.
3rd IEEE International Conference on Transdisciplinary AI, TransAI 2021 ; : 72-73, 2021.
Article in English | Scopus | ID: covidwho-1752449

ABSTRACT

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 to UK, Germany, Italy and Netherlands. The free parameters of model have been coherently linked to data. Interestingly, it was seen that a”silent period” with the lowest cases of infections play a relevant role for new pandemics as well as the apparition of new strains, such as the most recent”delta-variant”. © 2021 IEEE.

13.
22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall ; : 86-89, 2021.
Article in English | Scopus | ID: covidwho-1741257

ABSTRACT

At the end of first quarter of 2020 it was seen in most countries statistics the beginning of an imminent second wave of pandemic. On January of 2021 it was seen in the data a rapid growth of new infections. In this paper, a geometry-based scheme is presented. In concrete the rectangle and trapezoid shapes are analyzed. From this, a relation between both geometries is extracted in terms of polynomial functions. The resulting characterization of a pandemic in terms of geometric variables is presented. Thus the present model is confronted with official data of USA and India. From the results of this paper, it is strongly believed that entropy might be behind of a global pandemic dynamics. © 2021 IEEE.

14.
22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall ; : 94-97, 2021.
Article in English | Scopus | ID: covidwho-1741256

ABSTRACT

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 probabilistic rules among then to Spain. Because of this the model of propagation of Feynman in conjunction to Wiener schemes have been used to model the displacement of virus from Wuhan to Milan as well from Milan to Spain, as seen at the end of 2019 triggering the beginning of European pandemic at January of 2020. As seen at official data Italy and Spain have presented same statistics at the first months of local pandemic. From the usage of the proposed formalism, it is found that the country data are following Gaussian-like distributions due to the space-time propagation of virus. © 2021 IEEE.

15.
22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall ; : 21-24, 2021.
Article in English | Scopus | ID: covidwho-1741255

ABSTRACT

This paper present a model of software engineering to estimate the social distancing with realistic inputs. This might be incorporated in a smart-phone application in order to get an exact estimate of the values of social distancing in times of global pandemic. Attention is paid on the measurement of outdoor scenarios where wind velocity would play an important role to move the aerosols at distances beyond the known social distances. Thus, the dehydration time emerges also as a predictor of risk to get the infection of virus. The proposed software has capabilities to yield numeric values of risk in terms of probabilities. It is expected that once the associated computational program is running then the permanent assessment of potential scenarios would give concrete values of social distancing. In this manner one expects that these values are uploaded at an Internet network. © 2021 IEEE.

16.
2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 ; : 298-301, 2021.
Article in English | Scopus | ID: covidwho-1741185

ABSTRACT

It is well-known that Coronavirus has been propagated due to human activities mainly based at intercontinental flights. Thus, in the first months of 2020, most new countries have already presented peaks in the number of infections, so that airports and borders were closed. With the social restrictions imposed along the beginning of second semester of 2020, the curve of cases of infections has exhibited to be flat in comparison to the beginning of 2020. Therefore, the human activities of end-of-year 2020 have caused againg peaks as the second wave of the pandemic in most countries. So far, by the end of 2021, most countries particularly located at Europe, are exhibiting the fourth wave. In this paper, the entropy of Shannon is considered as inherent mechanism and responsible of waves and large peaks of the number of infections. Modelling of data, the results of this paper suggest the inherent presence of a global entropy due to the transfer of randomness between neighboring countries. © 2021 IEEE.

17.
2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 ; : 294-297, 2021.
Article in English | Scopus | ID: covidwho-1741184

ABSTRACT

In the ongoing Covid-19 panemic the social distance is needed to guarantee healthy oral Communications even with the wearing of a mask. In this paper the so-called social distancing is calculated with the usage of simple kinematics and other physics-based concepts. According to the calculations of this study the distance depends on the square root of a logarithm and the initial number of expelled aerosols per unit of volume. Computational simulations were carried out. The result havd shown that the environment that supports the lifetime of aerosol is a relevant variable that suggests that thermodynamics needs to be applied to formulate a precise theory of infection based at aerosols in order to estimate an universal social distancing policy. © 2021 IEEE.

18.
5th World Conference on Smart Trends in Systems Security and Sustainability, WS4 2021 ; 333:197-207, 2022.
Article in English | Scopus | ID: covidwho-1653392

ABSTRACT

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 conjunction of a deterministic model and the equation of Weiss with a probabilistic meaning is compactified in one single equation. With this approach, different distributions of fractions of infections as function of distance are presented. Although in most cases, this hybrid theory yields distances of 1.5 and 2.0 m. The distributions also suggest the role of wind as a strong factor that might keep the aerosols beyond the established social distancing as cause of delaying of dehydration. Therefore, outdoor characteristics are factors that might not be seen at first sight but would constitute a risk factor in epochs of peaks of pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

19.
13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 ; 403 LNICST:244-255, 2021.
Article in English | Scopus | ID: covidwho-1596445

ABSTRACT

In this paper is demonstrated that the morphology of infection’s curve is a consequence of the entropic behavior of macro-systems that are entirely dependent on the nonlinearity of social dynamics. Thus in the ongoing pandemic the so-called curve of cases would acquire an exponential morphology as consequence of the human mobility and the intensity of randomness that it exhibits still under social distancing and other types of social protection adopted in most countries along the first wave of spreading of Covid-19. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

20.
13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 ; 403 LNICST:256-268, 2021.
Article in English | Scopus | ID: covidwho-1596444

ABSTRACT

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 places in the world between 1.5 m and 2.5 m. This would constitutes a critic space of separation among people in the which aerosols might not be effective to infect healthy people. In addition to wearing masks and face protection, the social distancing appears to be critic to keep people far of infections and consequences produced from it. In this way, the paper has opted by the incorporation of a full deterministic model inside the equation of Weiss, by the which it fits well to the action of outdoor infection when wind manages the direction and displacement of aerosols in space. Thus, while a deterministic approach targets to propose a risk’s probability, a probabilistic scenario established by Weiss in conjunction to the deterministic events would yield an approximated model of outdoor infection when there is a continuous source of infected aerosols that are moving through air in according to a wind velocity. The simulations have shown that the present approach is valid to some extent in the sense that only the 1D case is considered. The model can be extended with the implementation of physical variables that can attenuate the presence of disturbs and random noise that minimizes the effectiveness of present proposal. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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