25 citations · 49 across the 18 of their papers we have counts for
20 papers
Climate and dengue synchronization in southern Brazil: a municipal analysis with cross-state validation
Enrique C. Gabrick, Antonio M. Batista, Iberê L. Caldas +2
Dengue transmission is rapidly expanding beyond its historical tropical range, raising concerns about how climate change may alter the collective dynamics of epidemics. While most…
Stochastic reversal of deterministic selection in epidemic strain competition
Enrique C. Gabrick, Ana Luiza de Moraes, Ervin K. Lenzi +1
Different strains competing for a common pool of susceptible individuals is a key problem in mathematical epidemiology. To address this problem, we investigate a two-strain model w…
Non-Markovian Light-Matter Dynamics in the Time Fractional Jaynes-Cummings Model with Modulated Coupling
Enrique C. Gabrick, Thiago T. Tsutsui, Danilo Cius +3
We investigate the fractional time description of a generalized quantum light-matter system modeled by a time-dependent Jaynes-Cummings (JC) interaction, with different coupling ty…
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…