Modelling interventions during a dengue outbreak

We present a stochastic dynamical model for the transmission of dengue that considers the co-evolution of the spatial dynamics of the vectors (Aedes aegypti) and hosts (human population), allowing the simulation of control strategies adapted to the actual evolution of an epidemic outbreak. We observ...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Dorso, Claudio Oscar, Otero, Marcelo Javier, Solari, Hernán Gustavo
Publicado: 2014
Materias:
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09502688_v142_n3_p545_Barmak
http://hdl.handle.net/20.500.12110/paper_09502688_v142_n3_p545_Barmak
Aporte de:
id paper:paper_09502688_v142_n3_p545_Barmak
record_format dspace
spelling paper:paper_09502688_v142_n3_p545_Barmak2023-06-08T15:54:24Z Modelling interventions during a dengue outbreak Dorso, Claudio Oscar Otero, Marcelo Javier Solari, Hernán Gustavo Dengue fever Infectious disease control Mathematical modelling Outbreaks Spatial modelling insecticide Aedes aegypti algorithm article bed net dengue Dengue virus epidemic fumigation infection control infection prevention insecticidal activity insecticide resistance molecular dynamics patient care pesticide spraying public health service stochastic model validation process vector control virus carrier virus transmission adult Article coevolution control strategy dengue disease carrier female human infection control medication compliance nonhuman outcome assessment stochastic model Aedes Animals Dengue Disease Outbreaks Humans Insect Vectors Insecticides Models, Biological Models, Theoretical Patient Isolation We present a stochastic dynamical model for the transmission of dengue that considers the co-evolution of the spatial dynamics of the vectors (Aedes aegypti) and hosts (human population), allowing the simulation of control strategies adapted to the actual evolution of an epidemic outbreak. We observed that imposing restrictions on the movement of infected humans is not a highly effective strategy. In contrast, isolating infected individuals with high levels of compliance by the human population is efficient even when implemented with delays during an ongoing outbreak. We also studied insecticide-spraying strategies assuming different (hypothetical) efficiencies. We observed that highly efficient fumigation strategies seem to be effective during an outbreak. Nevertheless, taking into account the controversial results on the use of spraying as a single control strategy, we suggest that carrying out combined strategies of fumigation and isolation during an epidemic outbreak should account for a suitable strategy for the attenuation of epidemic outbreaks. © 2013 Cambridge University Press. Fil:Dorso, C.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Otero, M. 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. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09502688_v142_n3_p545_Barmak http://hdl.handle.net/20.500.12110/paper_09502688_v142_n3_p545_Barmak
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Dengue fever
Infectious disease control
Mathematical modelling
Outbreaks
Spatial modelling
insecticide
Aedes aegypti
algorithm
article
bed net
dengue
Dengue virus
epidemic
fumigation
infection control
infection prevention
insecticidal activity
insecticide resistance
molecular dynamics
patient care
pesticide spraying
public health service
stochastic model
validation process
vector control
virus carrier
virus transmission
adult
Article
coevolution
control strategy
dengue
disease carrier
female
human
infection control
medication compliance
nonhuman
outcome assessment
stochastic model
Aedes
Animals
Dengue
Disease Outbreaks
Humans
Insect Vectors
Insecticides
Models, Biological
Models, Theoretical
Patient Isolation
spellingShingle Dengue fever
Infectious disease control
Mathematical modelling
Outbreaks
Spatial modelling
insecticide
Aedes aegypti
algorithm
article
bed net
dengue
Dengue virus
epidemic
fumigation
infection control
infection prevention
insecticidal activity
insecticide resistance
molecular dynamics
patient care
pesticide spraying
public health service
stochastic model
validation process
vector control
virus carrier
virus transmission
adult
Article
coevolution
control strategy
dengue
disease carrier
female
human
infection control
medication compliance
nonhuman
outcome assessment
stochastic model
Aedes
Animals
Dengue
Disease Outbreaks
Humans
Insect Vectors
Insecticides
Models, Biological
Models, Theoretical
Patient Isolation
Dorso, Claudio Oscar
Otero, Marcelo Javier
Solari, Hernán Gustavo
Modelling interventions during a dengue outbreak
topic_facet Dengue fever
Infectious disease control
Mathematical modelling
Outbreaks
Spatial modelling
insecticide
Aedes aegypti
algorithm
article
bed net
dengue
Dengue virus
epidemic
fumigation
infection control
infection prevention
insecticidal activity
insecticide resistance
molecular dynamics
patient care
pesticide spraying
public health service
stochastic model
validation process
vector control
virus carrier
virus transmission
adult
Article
coevolution
control strategy
dengue
disease carrier
female
human
infection control
medication compliance
nonhuman
outcome assessment
stochastic model
Aedes
Animals
Dengue
Disease Outbreaks
Humans
Insect Vectors
Insecticides
Models, Biological
Models, Theoretical
Patient Isolation
description We present a stochastic dynamical model for the transmission of dengue that considers the co-evolution of the spatial dynamics of the vectors (Aedes aegypti) and hosts (human population), allowing the simulation of control strategies adapted to the actual evolution of an epidemic outbreak. We observed that imposing restrictions on the movement of infected humans is not a highly effective strategy. In contrast, isolating infected individuals with high levels of compliance by the human population is efficient even when implemented with delays during an ongoing outbreak. We also studied insecticide-spraying strategies assuming different (hypothetical) efficiencies. We observed that highly efficient fumigation strategies seem to be effective during an outbreak. Nevertheless, taking into account the controversial results on the use of spraying as a single control strategy, we suggest that carrying out combined strategies of fumigation and isolation during an epidemic outbreak should account for a suitable strategy for the attenuation of epidemic outbreaks. © 2013 Cambridge University Press.
author Dorso, Claudio Oscar
Otero, Marcelo Javier
Solari, Hernán Gustavo
author_facet Dorso, Claudio Oscar
Otero, Marcelo Javier
Solari, Hernán Gustavo
author_sort Dorso, Claudio Oscar
title Modelling interventions during a dengue outbreak
title_short Modelling interventions during a dengue outbreak
title_full Modelling interventions during a dengue outbreak
title_fullStr Modelling interventions during a dengue outbreak
title_full_unstemmed Modelling interventions during a dengue outbreak
title_sort modelling interventions during a dengue outbreak
publishDate 2014
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09502688_v142_n3_p545_Barmak
http://hdl.handle.net/20.500.12110/paper_09502688_v142_n3_p545_Barmak
work_keys_str_mv AT dorsoclaudiooscar modellinginterventionsduringadengueoutbreak
AT oteromarcelojavier modellinginterventionsduringadengueoutbreak
AT solarihernangustavo modellinginterventionsduringadengueoutbreak
_version_ 1768545471580602368