25 citations · 49 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
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…
Spiral wave dynamics in a neuronal network model
Diogo L. M. Souza, Fernando S. Borges, Enrique C. Gabrick +8
Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been ide…
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…