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Filtro de partículas aplicado ao rastreamento e previsão de epidemias
(Universidade Tecnológica Federal do ParanáCuritibaBrasilGraduação em Engenharia de Controle e AutomaçãoUTFPR, 2020-11-25)
One of stochastic filtering objectives is to obtain more reliable and trustworthy data. Due to that characteristic, it was decided to apply some of the most well-known stochastic filtering methods to predicting and tracking ...
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
Background In December, 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus,
emerged in Wuhan, China. Since then, the city of Wuhan has taken unprecedented measures in response to
the ...
Global dynamics of a fractional order model for the transmission of HIV epidemic with optimal control
In this paper, a nonlinear fractional order epidemic model for HIV transmission is proposed and analyzed
by including extra compartment namely exposed class to the basic SIR epidemic model. Also, the infected
class of ...
Basic ingredients for mathematical modeling of tumor growth in vitro: Cooperative effects and search for space
(2013-11-01)
Based on the literature data from HT-29 cell monolayers, we develop a model for its growth, analogous to an epidemic model, mixing local and global interactions. First, we propose and solve a deterministic equation for the ...
Basic ingredients for mathematical modeling of tumor growth in vitro: Cooperative effects and search for space
(2013-11-01)
Based on the literature data from HT-29 cell monolayers, we develop a model for its growth, analogous to an epidemic model, mixing local and global interactions. First, we propose and solve a deterministic equation for the ...
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this ...
Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile
(2021)
Objectives: To understand and forecast the evolution of COVID-19 (Coronavirus disease 2019) in Chile, and analyze alternative simulated scenarios to better predict alternative paths, in order to implement policy solutions ...
Prediction of the COVID-19 spread in African countries and implications for prevention and control: A case study in South Africa, Egypt, Algeria, Nigeria, Senegal and Kenya
COVID-19 (Corona Virus Disease 2019) is globally spreading and the international cooperation is urgently required in joint prevention and control of the epidemic. Using the Maximum-Hasting (MH) parameter estimation
method ...
Static reliability and resilience in dynamic systems
(Udelar. FI., 2016)
Two systems are modeled in this thesis. First, we consider a multi-component stochastic monotone binary system, or SMBS for short. The reliability of an SMBS is the probability of correct operation. A statistical approximation ...