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Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic
(IEEE, 2022)
This paper presents a model of intervention at the first phases of global pandemic using the criteria of Mitchell that simplifies to some extent the philosophy of Machine Learning. These criteria are projected onto the ...
Global mortality impact of the 1957-1959 influenza pandemic
(Oxford University Press, 2016)
© The Author 2015.Background. Quantitative estimates of the global burden of the 1957 influenza pandemic are lacking. Here we fill this gap by modeling historical mortality statistics. Methods. We used annual rates of age- ...
Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic
(IEEE, 2022)
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 ...
Covid-19 Versus Monkeypox-2022: The Silent Struggle of Global Pandemics
(Springer Link, 2023)
The theorem of Bayes is applied in a straightforward manner to investigate if Covid-19 and Monkeypox 2022 can coexist together. According to realistic scenarios and global data it was verified that Covid-19 is a kind of ...
Global Mortality Impact of the 1957–1959 Influenza Pandemic
(Oxford University Press, 2016)
Background. Quantitative estimates of the global burden of the 1957 influenza pandemic are lacking. Here we fill this gap by
modeling historical mortality statistics.
Methods. We used annual rates of age- and cause-specific ...
Small Probability of Fatality from Theorem of Bayes at the Monkeypox Pandemic
(IEEE, 2022)
Why the number of fatalities is very low at the ongoing Monkeypox pandemic, this question can be answered through the theory of Bayes that would anticipate a posterior probability of fatality that applies to the cases of ...
The first 100 days: modeling the evolution of the COVID-19 pandemic
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 ...
The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs
(IEEE, 2022)
Along the pandemic created by the Corona virus 2019 (Covid-19 in shorthand), the global economy was observed to experience various turbulent months that were reflected by the increasing of unemployment and the apparition ...
Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
(Institute of Electrical and Electronics EngineersPE, 2021-11)
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, ...