A quick Look at the Registered Cases of Covid-19 Throughout the World

2020

IJCV

The work analyzes the dynamics of transmission of infections by the new coronavirus in twelve European countries, including France, Germany, Italy, Spain, UK, Austria, Croatia, Denmark, Greece, Romania, Czech Republic, and Portugal, whose data from contagion were obtained by Johns Hopkins University until September 24, 2020. The study confirmed that this new coronavirus (SARS-CoV-2) surprised all the countries of the world that had to improve their public health policies to confront this disease according to the results obtained from the calculation of the mantissa. Although the countries were able to improve their policies after the first wave of contagion, Spain and France have the highest proportion of cases that stand out significantly with the rest of the countries in the second wave of infections that the world faces again. Likewise, the beginning of the epidemic outbreak was determined, which could help to track the spread of the disease through European countries (not the first case registered in each country), from which it can be inferred that the outbreak begins in Italy and later the rebound begins in Germany, France, and Spain. Within days, it significantly affects Greece and Austria, reaching Denmark, the Czech Republic, Romania, and Croatia. Finally, the number of people who must be vaccinated to counteract the advance of Covid-19 in these European countries was determined based on the calculation of the Basic Reproductive Number, R0. The number of people that would have to be vaccinated in all these countries to counteract this disease sums up to 206.830.361.

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamics of Infections and Number of Vaccines Needed to Avoid Covid-19 in Europe

2020

IJCV

“…The scientific community is continuously working in models to predict the dynamics of contagion by Covid-19 [1][2][3][4] From the previous record, the value of the Mantissa was determined according to the methodology proposed by Isea [5,6], which allows visualizing the rhythm of the "infection rate" as a function of time (this last comment will be discussed better in the Results section). generate negative effects in the very short term, so it is necessary to design measures that manage to contain the cases that occurred in the capital region and in the dormitory cities that border with the Capital District.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Transmission Dynamics of the Cases Registered by Covid-19 in Venezuela According to Epidemic Wave and the Value of the Mantissa

2020

IJCV

This work characterizes the transmission dynamics of the cases registered by Covid-19 in Venezuela. The needed input data were obtained from the official gazettes issued by the Government of Venezuela, from March 15 to September 9, 2020. Later, the value of the mantissa was determined, revealing the impact of the different outbreaks with special attention to the events at the baseball stadium in Nueva Esparta State, and the Las Pulgas Market located in Maracaibo. Finally, a mathematical model based on four epidemic waves revealed that the cases are increasing significantly over time after the episode that occurred in the Las Pulgas Market.

“…As can be seen in the scientific literature, multiple mathematical models are being carried out to monitor the Covid-19 epidemic [1][2][3][4], but they must be recalculated on a daily basis. For this reason, a simple mathematical operation is proposed to determine whether or not the epidemic is being overcome, and to visualize how severe the epidemic is in real time.…”

Section: Introductionmentioning

confidence: 99%

A New Graph to Display the Epidemic Outbreaks of Covid-19 in the World

2020

IJCV

The paper proposes a new visualization scheme for the registry of Covid-19 cases by calculating the mantissa of the registered ones, so there is no need of performing complicated mathematical calculations. As an example, six countries are randomly selected: Australia, Brazil, China, Colombia, Portugal and Venezuela. The results show that China is the only country that keeps the epidemic under control, while Australia begins a new outbreak after having previously controlled the epidemic. Colombia and Portugal show a very similar behavior of registered cases and, finally, we can see that Venezuela, Brazil, Portugal, and Colombia present a growth of cases that may trigger new outbreaks in the future. Results are obtained from data registered at Johns Hopkins University until July 18th, 2020.