15 citations · 22 across the 7 of their papers we have counts for
9 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…
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…
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…
When climate variables improve the dengue forecasting: a machine learning approach
Sidney T. da Silva, Enrique C. Gabrick, Paulo R. Protachevicz +4
Dengue is a viral vector-borne infectious disease that affects many countries worldwide, infecting around 390 million people per year. The main outbreaks occur in subtropical and t…
Impact of periodic vaccination in SEIRS seasonal model
Enrique C. Gabrick, Eduardo L. Brugnago, Silvio L. T. de Souza +6
We study three different strategies of vaccination in a SEIRS (Susceptible--Exposed--Infected--Recovered--Susceptible) seasonal forced model, which are: () continuous vaccinatio…
Adaptive Exponential Integrate-and-Fire Model with Fractal Extension
Diogo L. M. Souza, Enrique C. Gabrick, Paulo R. Protachevicz +6
The description of neuronal activity has been of great importance in neuroscience. In this field, mathematical models are useful to describe the electrophysical behaviour of neuron…
Influence of inhibitory synapses on the criticality of excitable neuronal networks
F S Borges, P R Protachevicz, V Santos +7
In this work, we study the dynamic range of a neuronal network of excitable neurons with excitatory and inhibitory synapses. We obtain an analytical expression for the critical poi…
Alterations in brain connectivity due to plasticity and synaptic delay
E. L. Lameu, E. E. N. Macau, F. S. Borges +6
Brain plasticity refers to brain's ability to change neuronal connections, as a result of environmental stimuli, new experiences, or damage. In this work, we study the effects of t…