A5088065814- COVID-19 epidemiological studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Neural Networks and Applications
- Complex Systems and Time Series Analysis
- Neural dynamics and brain function
- Chaos control and synchronization
- Data-Driven Disease Surveillance
National University of the Northeast
2022-2025
Universidad Nacional de Córdoba
2022-2025
Universidade Federal do Rio Grande do Sul
1995
The COVID-19 pandemic, with its multiple outbreaks, has posed significant challenges for governments worldwide. Much of the epidemiological modeling relied on pre-pandemic contact information population to model virus transmission between age groups. However, said interactions underwent drastic changes due governmental health measures, referred as non-pharmaceutical interventions. These interventions, from social distancing complete lockdowns, aimed reduce virus. This work proposes taking...
To represent the complex individual interactions in dynamics of disease spread informed by data, coupling an epidemiological agent-based model with ensemble Kalman filter is proposed. The statistical inference propagation a means ensemble-based data assimilation systems has been studied previous works. models used are mostly compartmental representing mean field evolution through ordinary differential equations. These techniques allow to monitor infections from and estimate several...
The COVID-19 pandemic and its multiple outbreaks have challenged governments around the world. Much of epidemiological modeling was based on pre-pandemic contact information population, which changed drastically due to governmental health measures, so called non-pharmaceutical interventions made reduce transmission virus, like social distancing complete lockdown. In this work, we evaluate an ensemble-based data assimilation framework applied a meta-population model infer disease between...
A dynamical system of coupled neurons with variable thresholds is solved analytically and compared numerical simulations. The behaviour extremely rich presenting intermittence, chaos, crises etc. depending on the parameters.