id paper:paper_00928240_v70_n5_p1297_Otero
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spelling paper:paper_00928240_v70_n5_p1297_Otero2023-06-08T15:08:23Z A stochastic spatial dynamical model for Aedes aegypti Otero, Marcelo Javier Schweigmann, Nicolás Joaquin Solari, Hernán Gustavo Aedes aegypti Aedes aegypti dispersal Dengue epidemics Mathematical ecology Population dynamics Spatial model Stochastic model Temperate climate Aedes algorithm animal Argentina article biological model city computer simulation dengue egg laying environment female physiology population dynamics season statistics weather Aedes Algorithms Animals Argentina Cities Computer Simulation Dengue Environment Female Models, Biological Oviposition Population Dynamics Seasons Stochastic Processes Weather Aedes aegypti We develop a stochastic spatial model for Aedes aegypti populations based on the life cycle of the mosquito and its dispersal. Our validation corresponds to a monitoring study performed in Buenos Aires. Lacking information with regard to the number of breeding sites per block, the corresponding parameter (BS) was adjusted to the data. The model is able to produce numerical data in very good agreement with field results during most of the year, the exception being the fall season. Possible causes of the disagreement are discussed. We analyzed the mosquito dispersal as an advantageous strategy of persistence in the city and simulated the dispersal of females from a source to the surroundings along a 3-year period observing that several processes occur simultaneously: local extinctions, recolonization processes (resulting from flight and the oviposition performed by flyers), and colonization processes resulting from the persistence of eggs during the winter season. In view of this process, we suggest that eradication campaigns in temperate climates should be performed during the winter time for higher efficiency. © 2008 Society for Mathematical Biology. Fil:Otero, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Schweigmann, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Solari, H.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00928240_v70_n5_p1297_Otero http://hdl.handle.net/20.500.12110/paper_00928240_v70_n5_p1297_Otero
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aedes aegypti
Aedes aegypti dispersal
Dengue epidemics
Mathematical ecology
Population dynamics
Spatial model
Stochastic model
Temperate climate
Aedes
algorithm
animal
Argentina
article
biological model
city
computer simulation
dengue
egg laying
environment
female
physiology
population dynamics
season
statistics
weather
Aedes
Algorithms
Animals
Argentina
Cities
Computer Simulation
Dengue
Environment
Female
Models, Biological
Oviposition
Population Dynamics
Seasons
Stochastic Processes
Weather
Aedes aegypti
spellingShingle Aedes aegypti
Aedes aegypti dispersal
Dengue epidemics
Mathematical ecology
Population dynamics
Spatial model
Stochastic model
Temperate climate
Aedes
algorithm
animal
Argentina
article
biological model
city
computer simulation
dengue
egg laying
environment
female
physiology
population dynamics
season
statistics
weather
Aedes
Algorithms
Animals
Argentina
Cities
Computer Simulation
Dengue
Environment
Female
Models, Biological
Oviposition
Population Dynamics
Seasons
Stochastic Processes
Weather
Aedes aegypti
Otero, Marcelo Javier
Schweigmann, Nicolás Joaquin
Solari, Hernán Gustavo
A stochastic spatial dynamical model for Aedes aegypti
topic_facet Aedes aegypti
Aedes aegypti dispersal
Dengue epidemics
Mathematical ecology
Population dynamics
Spatial model
Stochastic model
Temperate climate
Aedes
algorithm
animal
Argentina
article
biological model
city
computer simulation
dengue
egg laying
environment
female
physiology
population dynamics
season
statistics
weather
Aedes
Algorithms
Animals
Argentina
Cities
Computer Simulation
Dengue
Environment
Female
Models, Biological
Oviposition
Population Dynamics
Seasons
Stochastic Processes
Weather
Aedes aegypti
description We develop a stochastic spatial model for Aedes aegypti populations based on the life cycle of the mosquito and its dispersal. Our validation corresponds to a monitoring study performed in Buenos Aires. Lacking information with regard to the number of breeding sites per block, the corresponding parameter (BS) was adjusted to the data. The model is able to produce numerical data in very good agreement with field results during most of the year, the exception being the fall season. Possible causes of the disagreement are discussed. We analyzed the mosquito dispersal as an advantageous strategy of persistence in the city and simulated the dispersal of females from a source to the surroundings along a 3-year period observing that several processes occur simultaneously: local extinctions, recolonization processes (resulting from flight and the oviposition performed by flyers), and colonization processes resulting from the persistence of eggs during the winter season. In view of this process, we suggest that eradication campaigns in temperate climates should be performed during the winter time for higher efficiency. © 2008 Society for Mathematical Biology.
author Otero, Marcelo Javier
Schweigmann, Nicolás Joaquin
Solari, Hernán Gustavo
author_facet Otero, Marcelo Javier
Schweigmann, Nicolás Joaquin
Solari, Hernán Gustavo
author_sort Otero, Marcelo Javier
title A stochastic spatial dynamical model for Aedes aegypti
title_short A stochastic spatial dynamical model for Aedes aegypti
title_full A stochastic spatial dynamical model for Aedes aegypti
title_fullStr A stochastic spatial dynamical model for Aedes aegypti
title_full_unstemmed A stochastic spatial dynamical model for Aedes aegypti
title_sort stochastic spatial dynamical model for aedes aegypti
publishDate 2008
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00928240_v70_n5_p1297_Otero
http://hdl.handle.net/20.500.12110/paper_00928240_v70_n5_p1297_Otero
work_keys_str_mv AT oteromarcelojavier astochasticspatialdynamicalmodelforaedesaegypti
AT schweigmannnicolasjoaquin astochasticspatialdynamicalmodelforaedesaegypti
AT solarihernangustavo astochasticspatialdynamicalmodelforaedesaegypti
AT oteromarcelojavier stochasticspatialdynamicalmodelforaedesaegypti
AT schweigmannnicolasjoaquin stochasticspatialdynamicalmodelforaedesaegypti
AT solarihernangustavo stochasticspatialdynamicalmodelforaedesaegypti
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