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...

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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
http://purl.org/coar/access_right/c_abf2
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dc.title.spa.fl_str_mv 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.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
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2022-12-24T00:55:41Z
dc.date.available.none.fl_str_mv 2022-12-24T00:55:41Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.spa.fl_str_mv 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
dc.identifier.issn.none.fl_str_mv 0307-904X
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/32952
dc.identifier.doi.none.fl_str_mv 10.1016/j.apm.2016.11.022
identifier_str_mv 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
url https://hdl.handle.net/10495/32952
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Appl. Math. Model.
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dc.format.extent.spa.fl_str_mv 12
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dc.publisher.spa.fl_str_mv Elsevier
dc.publisher.group.spa.fl_str_mv Biología y Control de Enfermedades Infecciosas
dc.publisher.place.spa.fl_str_mv Guildford, Inglaterra
institution Universidad de Antioquia
bitstream.url.fl_str_mv https://bibliotecadigital.udea.edu.co/bitstream/10495/32952/2/license.txt
https://bibliotecadigital.udea.edu.co/bitstream/10495/32952/1/ArboledaSair_2017_UnderstandingEpidemicsFromMathematical.pdf
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spelling Arboleda Sánchez, Sair OrietaLizarralde Bejarano, Diana PaolaPuerta Yepes, María Eugenia2022-12-24T00:55:41Z2022-12-24T00:55:41Z2017Lizarralde-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/pdfengElsevierBiología y Control de Enfermedades InfecciosasGuildford, Inglaterrainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-nd/4.0/Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia)Modelos TeóricosModels, TheoreticalDengueAppl. Math. Model.Applied Mathematical Modelling56657843LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/32952/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALArboledaSair_2017_UnderstandingEpidemicsFromMathematical.pdfArboledaSair_2017_UnderstandingEpidemicsFromMathematical.pdfArtículo de investigaciónapplication/pdf1441179https://bibliotecadigital.udea.edu.co/bitstream/10495/32952/1/ArboledaSair_2017_UnderstandingEpidemicsFromMathematical.pdf85178c6a924a8e49ae31d0bf19518eeaMD5110495/32952oai:bibliotecadigital.udea.edu.co:10495/329522022-12-23 19:57:44.421Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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