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Linear incidence rate: Its influence on the asymptotic behavior of a stochastic epidemic model
(Wiley, 2021-11-30)
Diseases are an important fact in the real world and concentrate the attention of a great number of researchers. Many of them are caused by nematodes, fungi, bacteria, or viruses. Nevertheless, there exists another, which ...
Disease and information spreading at different speeds in multiplex networks
(American Physical Society, 2020-08-24)
Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects ...
Epidemic thresholds in SIR and SIIR models applying an algorithmic method
(SPRINGER, 2008-01-01)
Epidemic thresholds were deduced and simulated from SIR models of Susceptible - Infected - Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. ...
Using Phenomenological Models to Characterize Transmissibility and Forecast Patterns and Final Burden of Zika Epidemics.
(Public Library of Science,, 2016-05-31)
BACKGROUND: The World Health Organization declared the ongoing Zika virus (ZIKV) epidemic in the Americas a Public Health Emergency of International Concern on February 1, 2016. ZIKV disease in humans is characterized by ...
A modelling study highlights the power of detecting and isolating asymptomatic or very mildly affected individuals for COVID-19 epidemic management
(BioMed Central, 2020-12)
Background: Mathematical modelling of infectious diseases is a powerful tool for the design of management policies and a fundamental part of the arsenal currently deployed to deal with the COVID-19 pandemic. Methods: We ...
Soluciones numéricas de un modelo sobre la dinámica del VIH con delay usando un esquema de diferencias finitas no estándar
(Facultad de Ciencias BásicasEstadística, 2019)
Introducción de factores de riesgo en los Métodos de Knox y Grimson para el Estudio de Conglomerados Espacio TemporalesIntroducción de factores de riesgo en los Métodos de Knox y Grimson para el Estudio de Conglomerados Espacio Temporales
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2004)
Multinomial approximation to the Kolmogorov Forward Equation for jump (population) processes
(Taylor & Francis, 2018-12)
We develop a simulation method for Markov Jump processes with finite time steps based in a quasilinear approximation of the process and in multinomial random deviates. The second-order approximation to the generating ...
Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
(China University of Geosciences (Beijing) and Peking UniversityChina, 2022)