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...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_09502688_v142_n3_p545_Barmak |
| Aporte de: |
| id |
todo:paper_09502688_v142_n3_p545_Barmak |
|---|---|
| record_format |
dspace |
| spelling |
todo:paper_09502688_v142_n3_p545_Barmak2023-10-03T15:49:59Z Modelling interventions during a dengue outbreak Barmak, D.H. Dorso, C.O. Otero, M. Solari, H.G. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Barmak, D.H. Dorso, C.O. Otero, M. Solari, H.G. 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. |
| format |
JOUR |
| author |
Barmak, D.H. Dorso, C.O. Otero, M. Solari, H.G. |
| author_facet |
Barmak, D.H. Dorso, C.O. Otero, M. Solari, H.G. |
| author_sort |
Barmak, D.H. |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_09502688_v142_n3_p545_Barmak |
| work_keys_str_mv |
AT barmakdh modellinginterventionsduringadengueoutbreak AT dorsoco modellinginterventionsduringadengueoutbreak AT oterom modellinginterventionsduringadengueoutbreak AT solarihg modellinginterventionsduringadengueoutbreak |
| _version_ |
1782027818560913408 |