Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia)
ABSTRACT: Dengue is the most threatening vector-borne viral disease in Colombia. At the moment, there is no treatment or vaccine available for its control or prevention; therefore, the main measure is to exert control over mosquito population. To reduce the economic impact of control measures, it is...
- Autores:
-
Arboleda Sánchez, Sair Orieta
Lizarralde Bejarano, Diana Paola
Puerta Yepes, María Eugenia
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/32952
- Acceso en línea:
- https://hdl.handle.net/10495/32952
- Palabra clave:
- Modelos Teóricos
Models, Theoretical
Dengue
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| title |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| spellingShingle |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) Modelos Teóricos Models, Theoretical Dengue |
| title_short |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| title_full |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| title_fullStr |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| title_full_unstemmed |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| title_sort |
Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia) |
| dc.creator.fl_str_mv |
Arboleda Sánchez, Sair Orieta Lizarralde Bejarano, Diana Paola Puerta Yepes, María Eugenia |
| dc.contributor.author.none.fl_str_mv |
Arboleda Sánchez, Sair Orieta Lizarralde Bejarano, Diana Paola Puerta Yepes, María Eugenia |
| dc.contributor.researchgroup.spa.fl_str_mv |
Biología y Control de Enfermedades Infecciosas |
| dc.subject.decs.none.fl_str_mv |
Modelos Teóricos Models, Theoretical Dengue |
| topic |
Modelos Teóricos Models, Theoretical Dengue |
| description |
ABSTRACT: Dengue is the most threatening vector-borne viral disease in Colombia. At the moment, there is no treatment or vaccine available for its control or prevention; therefore, the main measure is to exert control over mosquito population. To reduce the economic impact of control measures, it is important to focus on specific characteristics related to local dengue epidemiology at the local level, and know the main factors involved in an epidemic. To this end, we used a mathematical model based on ordinary differential equations and experimental data regarding mosquito populations from Bello (Antioquia, Colombia) to simulate the epidemic occurred in 2010. The results showed that the parameters to which the incidence of dengue cases are most sensitive are the biting and mortality rates of adult mosquitoes as well as the virus transmission probabilities. Finally, we found that the Ba- sic Reproductive Number (R0) of this epidemic was between 1.5 and 2.7, with an infection force () of 0.061, meaning that R0 values slightly above one are sufficient to result in a significant dengue outbreak in this region. |
| publishDate |
2017 |
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2017 |
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2022-12-24T00:55:41Z |
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2022-12-24T00:55:41Z |
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Artículo de investigación |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Lizarralde-Bejarano, D. P., Arboleda-Sánchez, S., & Puerta-Yepes, M. E. (2017). Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia). Applied Mathematical Modelling, 43, 566–578. https://doi.org/https://doi.org/10.1016/j.apm.2016.11.022 |
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0307-904X |
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https://hdl.handle.net/10495/32952 |
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10.1016/j.apm.2016.11.022 |
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Lizarralde-Bejarano, D. P., Arboleda-Sánchez, S., & Puerta-Yepes, M. E. (2017). Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia). Applied Mathematical Modelling, 43, 566–578. https://doi.org/https://doi.org/10.1016/j.apm.2016.11.022 0307-904X 10.1016/j.apm.2016.11.022 |
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https://hdl.handle.net/10495/32952 |
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eng |
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eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Appl. Math. Model. |
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578 |
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566 |
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43 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Applied Mathematical Modelling |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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Elsevier |
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Guildford, Inglaterra |
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Arboleda Sánchez, Sair OrietaLizarralde Bejarano, Diana PaolaPuerta Yepes, María EugeniaBiología y Control de Enfermedades Infecciosas2022-12-24T00:55:41Z2022-12-24T00:55:41Z2017Lizarralde-Bejarano, D. P., Arboleda-Sánchez, S., & Puerta-Yepes, M. E. (2017). Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia). Applied Mathematical Modelling, 43, 566–578. https://doi.org/https://doi.org/10.1016/j.apm.2016.11.0220307-904Xhttps://hdl.handle.net/10495/3295210.1016/j.apm.2016.11.022ABSTRACT: Dengue is the most threatening vector-borne viral disease in Colombia. At the moment, there is no treatment or vaccine available for its control or prevention; therefore, the main measure is to exert control over mosquito population. To reduce the economic impact of control measures, it is important to focus on specific characteristics related to local dengue epidemiology at the local level, and know the main factors involved in an epidemic. To this end, we used a mathematical model based on ordinary differential equations and experimental data regarding mosquito populations from Bello (Antioquia, Colombia) to simulate the epidemic occurred in 2010. The results showed that the parameters to which the incidence of dengue cases are most sensitive are the biting and mortality rates of adult mosquitoes as well as the virus transmission probabilities. Finally, we found that the Ba- sic Reproductive Number (R0) of this epidemic was between 1.5 and 2.7, with an infection force () of 0.061, meaning that R0 values slightly above one are sufficient to result in a significant dengue outbreak in this region.COL000786512application/pdfengElsevierGuildford, Inglaterrahttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia)Artículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionModelos TeóricosModels, TheoreticalDengueAppl. Math. 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