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When climate variables improve the dengue forecasting: a machine learning approach

Autor: da Silva, Sidney T., Gabrick, Enrique C., Protachevicz, Paulo R., Iarosz, Kelly C., Caldas, Iberê L., Batista, Antonio M., Kurths, Jürgen

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 tropical countries. We study here the influence of climate on dengue in

Externí odkaz: http://arxiv.org/abs/2404.05266

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Spiral wave dynamics in a neuronal network model

Autor: Souza, Diogo L. M., Borges, Fernando S., Gabrick, Enrique C., Bentivoglio, Lucas E., Protachevicz, Paulo R., Santos, Vagner dos, Viana, Ricardo L., Caldas, Ibere L., Iarosz, Kelly C., Batista, Antonio M., Kurths, Jürgen

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 identified in the neocortex of turtles, rats, and humans, particularly du

Externí odkaz: http://arxiv.org/abs/2403.00022

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Impact of periodic vaccination in SEIRS seasonal model

Autor: Gabrick, Enrique C., Brugnago, Eduardo L., de Souza, Silvio L. T., Iarosz, Kelly C., Szezech Jr., José D., Viana, Ricardo L., Caldas, Iberê L., Batista, Antonio M., Kurths, Jürgen

We study three different strategies of vaccination in a SEIRS (Susceptible--Exposed--Infected--Recovered--Susceptible) seasonal forced model, which are: ($i$) continuous vaccination; ($ii$) periodic short time localized vaccination and ($iii$) period

Externí odkaz: http://arxiv.org/abs/2402.16883

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Adaptive Exponential Integrate-and-Fire Model with Fractal Extension

Autor: Souza, Diogo L. M., Gabrick, Enrique C., Protachevicz, Paulo R., Borges, Fernando S., Trobia, José, Iarosz, Kelly C., Batista, Antonio M., Caldas, Iberê L., Lenzi, Ervin K.

Publikováno v: Chaos 34 2024

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 neurons. One successful model used for this purpose is the Adaptive Exponent

Externí odkaz: http://arxiv.org/abs/2403.00768

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