Stochastic eco-epidemiological model of dengue disease transmission by Aedes aegypti mosquito

We present a stochastic dynamical model for the transmission of dengue that takes into account seasonal and spatial dynamics of the vector Aedes aegypti. It describes disease dynamics triggered by the arrival of infected people in a city. We show that the probability of an epidemic outbreak depends...

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Detalles Bibliográficos
Autores principales: Otero, M., Solari, H.G.
Formato: JOUR
Materias:
Aedes aegypti
Dengue
Eco-epidemiology
Stochastic models
Climatic variation
Disease dynamics
Disease transmission
Epidemiological models
Low probability
Seasonal variation
Spatial dynamics
Stochastic dynamical model
Susceptible population
Epidemiology
Probability distributions
Risk perception
Stochastic systems
arrival date
breeding site
climate variation
dengue fever
disease transmission
disease vector
epidemic
epidemiology
health risk
mosquito
numerical model
population distribution
probability
seasonal variation
stochasticity
Arbovirus
article
breeding
climate change
dengue
disease carrier
hidden Markov model
human
nonhuman
population density
population dispersal
risk assessment
seasonal population dynamics
species extinction
stochastic model
temperature dependence
yellow fever
Aedes
Animals
Argentina
Disease Outbreaks
Humans
Insect Vectors
Models, Biological
Models, Statistical
Seasons
Stochastic Processes
Urban Population
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00255564_v223_n1_p32_Otero
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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