Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti

Autores
Espinosa, Manuel Osvaldo; Andreo, Verónica Carolina; Paredes, Gladys; Leaplaza, Carlos; Heredia, Viviana; Periago, Maria Victoria; Abril, Marcelo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Strategies for the prevention of arboviral diseases transmitted by Aedes aegypti have traditionally focused on vector control. This remains the same to this day, despite a lack of documented evidence on its efficacy due to a lack of coverage and sustainability. The continuous growth of urban areas and generally unplanned urbanization, which favor the presence of Ae. aegypti, demand resources, both material and human, as well as logistics to effectively lower the population’s risk of infection. These considerations have motivated the development of tools to identify areas with a recurrent concentration of arboviral cases during an outbreak to be able to prioritize preventive actions and optimize available resources. This study explores the existence of spatial patterns of dengue incidence in the locality of Tartagal, in northeastern Argentina, during the outbreaks that occurred between 2010 and 2020. Approximately half (50.8%) of the cases recorded during this period were concentrated in 35.9% of the urban area. Additionally, an important overlap was found between hotspot areas of dengue and chikungunya (Kendall’s W = 0.92; p-value < 0.001) during the 2016 outbreak. Moreover, 65.9% of the cases recorded in 2022 were geolocalized within the hotspot areas detected between 2010 and 2020. These results can be used to generate a risk map to implement timely preventive control strategies that prioritize these areas to reduce their vulnerability while optimizing the available resources and increasing the scope of action.
Fil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; Argentina
Fil: Andreo, Verónica Carolina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paredes, Gladys. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Leaplaza, Carlos. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Heredia, Viviana. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Periago, Maria Victoria. Fundación Mundo Sano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Abril, Marcelo. Fundación Mundo Sano; Argentina
Materia
AEDES AEGYPTI
ARGENTINA
DENGUE
HOTSPOTS
RISK STRATIFICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/220128
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegyptiEspinosa, Manuel OsvaldoAndreo, Verónica CarolinaParedes, GladysLeaplaza, CarlosHeredia, VivianaPeriago, Maria VictoriaAbril, MarceloAEDES AEGYPTIARGENTINADENGUEHOTSPOTSRISK STRATIFICATIONhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Strategies for the prevention of arboviral diseases transmitted by Aedes aegypti have traditionally focused on vector control. This remains the same to this day, despite a lack of documented evidence on its efficacy due to a lack of coverage and sustainability. The continuous growth of urban areas and generally unplanned urbanization, which favor the presence of Ae. aegypti, demand resources, both material and human, as well as logistics to effectively lower the population’s risk of infection. These considerations have motivated the development of tools to identify areas with a recurrent concentration of arboviral cases during an outbreak to be able to prioritize preventive actions and optimize available resources. This study explores the existence of spatial patterns of dengue incidence in the locality of Tartagal, in northeastern Argentina, during the outbreaks that occurred between 2010 and 2020. Approximately half (50.8%) of the cases recorded during this period were concentrated in 35.9% of the urban area. Additionally, an important overlap was found between hotspot areas of dengue and chikungunya (Kendall’s W = 0.92; p-value < 0.001) during the 2016 outbreak. Moreover, 65.9% of the cases recorded in 2022 were geolocalized within the hotspot areas detected between 2010 and 2020. These results can be used to generate a risk map to implement timely preventive control strategies that prioritize these areas to reduce their vulnerability while optimizing the available resources and increasing the scope of action.Fil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; ArgentinaFil: Andreo, Verónica Carolina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Paredes, Gladys. Provincia de Salta. Ministerio de Salud Pública; ArgentinaFil: Leaplaza, Carlos. Provincia de Salta. Ministerio de Salud Pública; ArgentinaFil: Heredia, Viviana. Provincia de Salta. Ministerio de Salud Pública; ArgentinaFil: Periago, Maria Victoria. Fundación Mundo Sano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Abril, Marcelo. Fundación Mundo Sano; ArgentinaMultidisciplinary Digital Publishing Institute2023-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/220128Espinosa, Manuel Osvaldo; Andreo, Verónica Carolina; Paredes, Gladys; Leaplaza, Carlos; Heredia, Viviana; et al.; Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti; Multidisciplinary Digital Publishing Institute; Tropical Medicine and Infectious Disease; 8; 7; 7-2023; 1-112414-6366CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2414-6366/8/7/362info:eu-repo/semantics/altIdentifier/doi/10.3390/tropicalmed8070362info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:13Zoai:ri.conicet.gov.ar:11336/220128instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:08:13.55CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
title Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
spellingShingle Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
Espinosa, Manuel Osvaldo
AEDES AEGYPTI
ARGENTINA
DENGUE
HOTSPOTS
RISK STRATIFICATION
title_short Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
title_full Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
title_fullStr Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
title_full_unstemmed Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
title_sort Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti
dc.creator.none.fl_str_mv Espinosa, Manuel Osvaldo
Andreo, Verónica Carolina
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, Maria Victoria
Abril, Marcelo
author Espinosa, Manuel Osvaldo
author_facet Espinosa, Manuel Osvaldo
Andreo, Verónica Carolina
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, Maria Victoria
Abril, Marcelo
author_role author
author2 Andreo, Verónica Carolina
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, Maria Victoria
Abril, Marcelo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv AEDES AEGYPTI
ARGENTINA
DENGUE
HOTSPOTS
RISK STRATIFICATION
topic AEDES AEGYPTI
ARGENTINA
DENGUE
HOTSPOTS
RISK STRATIFICATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Strategies for the prevention of arboviral diseases transmitted by Aedes aegypti have traditionally focused on vector control. This remains the same to this day, despite a lack of documented evidence on its efficacy due to a lack of coverage and sustainability. The continuous growth of urban areas and generally unplanned urbanization, which favor the presence of Ae. aegypti, demand resources, both material and human, as well as logistics to effectively lower the population’s risk of infection. These considerations have motivated the development of tools to identify areas with a recurrent concentration of arboviral cases during an outbreak to be able to prioritize preventive actions and optimize available resources. This study explores the existence of spatial patterns of dengue incidence in the locality of Tartagal, in northeastern Argentina, during the outbreaks that occurred between 2010 and 2020. Approximately half (50.8%) of the cases recorded during this period were concentrated in 35.9% of the urban area. Additionally, an important overlap was found between hotspot areas of dengue and chikungunya (Kendall’s W = 0.92; p-value < 0.001) during the 2016 outbreak. Moreover, 65.9% of the cases recorded in 2022 were geolocalized within the hotspot areas detected between 2010 and 2020. These results can be used to generate a risk map to implement timely preventive control strategies that prioritize these areas to reduce their vulnerability while optimizing the available resources and increasing the scope of action.
Fil: Espinosa, Manuel Osvaldo. Fundación Mundo Sano; Argentina
Fil: Andreo, Verónica Carolina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paredes, Gladys. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Leaplaza, Carlos. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Heredia, Viviana. Provincia de Salta. Ministerio de Salud Pública; Argentina
Fil: Periago, Maria Victoria. Fundación Mundo Sano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Abril, Marcelo. Fundación Mundo Sano; Argentina
description Strategies for the prevention of arboviral diseases transmitted by Aedes aegypti have traditionally focused on vector control. This remains the same to this day, despite a lack of documented evidence on its efficacy due to a lack of coverage and sustainability. The continuous growth of urban areas and generally unplanned urbanization, which favor the presence of Ae. aegypti, demand resources, both material and human, as well as logistics to effectively lower the population’s risk of infection. These considerations have motivated the development of tools to identify areas with a recurrent concentration of arboviral cases during an outbreak to be able to prioritize preventive actions and optimize available resources. This study explores the existence of spatial patterns of dengue incidence in the locality of Tartagal, in northeastern Argentina, during the outbreaks that occurred between 2010 and 2020. Approximately half (50.8%) of the cases recorded during this period were concentrated in 35.9% of the urban area. Additionally, an important overlap was found between hotspot areas of dengue and chikungunya (Kendall’s W = 0.92; p-value < 0.001) during the 2016 outbreak. Moreover, 65.9% of the cases recorded in 2022 were geolocalized within the hotspot areas detected between 2010 and 2020. These results can be used to generate a risk map to implement timely preventive control strategies that prioritize these areas to reduce their vulnerability while optimizing the available resources and increasing the scope of action.
publishDate 2023
dc.date.none.fl_str_mv 2023-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/220128
Espinosa, Manuel Osvaldo; Andreo, Verónica Carolina; Paredes, Gladys; Leaplaza, Carlos; Heredia, Viviana; et al.; Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti; Multidisciplinary Digital Publishing Institute; Tropical Medicine and Infectious Disease; 8; 7; 7-2023; 1-11
2414-6366
CONICET Digital
CONICET
url http://hdl.handle.net/11336/220128
identifier_str_mv Espinosa, Manuel Osvaldo; Andreo, Verónica Carolina; Paredes, Gladys; Leaplaza, Carlos; Heredia, Viviana; et al.; Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti; Multidisciplinary Digital Publishing Institute; Tropical Medicine and Infectious Disease; 8; 7; 7-2023; 1-11
2414-6366
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2414-6366/8/7/362
info:eu-repo/semantics/altIdentifier/doi/10.3390/tropicalmed8070362
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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