4 papers
Predicting temperatures in Brazilian states capitals via Machine Learning
Sidney T. da Silva, Enrique C. Gabrick, Ana Luiza R. de Moraes +4
Climate change refers to substantial long-term variations in weather patterns. In this work, we employ a Machine Learning (ML) technique, the Random Forest (RF) algorithm, to forec…
Continuous and discrete compartmental models for infectious disease
Gustavo A. Sousa, Diogo L. M. Souza, Enrique C. Gabrick +4
The study of infectious disease propagation is essential for understanding and controlling epidemics. One of the most useful tools for gaining insights into the spread of infectiou…
Fractional and fractal extensions of epidemiological models
Enrique C. Gabrick, Ervin K. Lenzi, Antonio M. Batista
One way to study the spread of disease is through mathematical models. The most successful models compartmentalize the host population according to their infectious stage, e.g., su…
Control, bi-stability and preference for chaos in time-dependent vaccination campaign
Enrique C. Gabrick, Eduardo L. Brugnago, Ana L. R. de Moraes +6
In this work, effects of constant and time-dependent vaccination rates on the Susceptible-Exposed-Infected-Recovered-Susceptible (SEIRS) seasonal model are studied. Computing the L…