Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Sanchez, Fabio"'
In this study, we couple a population dynamics model with a model for optimal foraging to study the interdependence between individual-level cost-benefits and population-scale dynamics. Specifically, we study the logistic growth model, which provides
Externí odkaz:
http://arxiv.org/abs/2408.02552
We develop a stochastic two-patch epidemic model with nonlinear recidivism to investigate infectious disease dynamics in heterogeneous populations. Extending a deterministic framework, we introduce stochasticity to account for random transmission, re
Externí odkaz:
http://arxiv.org/abs/2405.10998
This study presents a comprehensive analysis of a two-patch, two-life stage SI model without recovery from infection, focusing on the dynamics of disease spread and host population viability in natural populations. The model, inspired by real-world e
Externí odkaz:
http://arxiv.org/abs/2402.06779
Autor:
Sánchez, Fabio
Publikováno v:
Foro Internacional, 2024 Apr 01. 642 (256), 427-440.
Externí odkaz:
https://www.jstor.org/stable/27302255
Autor:
Chou-Chen, Shu-Wei, Barboza, Luis A., Vásquez, Paola, García, Yury E., Calvo, Juan G., Hidalgo, Hugo G., Sanchez, Fabio
Publikováno v:
Environmental & Ecological Statistics 2023
Due to the rapid geographic spread of the Aedes mosquito and the increase in dengue incidence, dengue fever has been an increasing concern for public health authorities in tropical and subtropical countries worldwide. Significant challenges such as c
Externí odkaz:
http://arxiv.org/abs/2302.06747
We developed a nonlinear differential equation model to explore the dynamics of relapse phenomena. Our incidence rate function is formulated, taking inspiration from recent adaptive algorithms. It incorporates contact behavior for individuals in each
Externí odkaz:
http://arxiv.org/abs/2302.00161
Autor:
Garcia, Yury E., Chou-Chen, Shu-Wei, Barboza, Luis A., Daza-Torres, Maria L., Montesinos-Lopez, J. Cricelio, Vasquez, Paola, Calvo, Juan G., Nuno, Miriam, Sanchez, Fabio
Throughout history, prevention and control of dengue transmission have challenged public health authorities worldwide. In the last decades, the interaction of multiple factors, such as environmental and climate variability, has influenced increments
Externí odkaz:
http://arxiv.org/abs/2301.02286
We constructed a Susceptible-Addicted-Reformed model and explored the dynamics of nonlinear relapse in the Reformed population. The transition from susceptible considered {\it at-risk} is modeled using a strictly decreasing general function, mimickin
Externí odkaz:
http://arxiv.org/abs/2210.15481
Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques
Autor:
Barboza, Luis A., Chou, Shu-Wei, Vásquez, Paola, García, Yury E., Calvo, Juan G., Hidalgo, Hugo C., Sanchez, Fabio
Dengue fever is a vector-borne disease mostly endemic to tropical and subtropical countries that affect millions every year and is considered a significant burden for public health. Its geographic distribution makes it highly sensitive to climate con
Externí odkaz:
http://arxiv.org/abs/2204.01483
Autor:
Montesinos-López, J. Cricelio, Daza-Torres, Maria L., García, Yury E., Barboza, Luis A., Sanchez, Fabio, Schmidt, Alec J., Pollock, Brad H., Nuño, Miriam
The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis disproportionately impacting people with pre-existing health conditions and particular demographic and socioeconomic characteristics. One of the main concerns of government
Externí odkaz:
http://arxiv.org/abs/2111.03761