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

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 a...

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Detalles Bibliográficos
Autores principales: Espinosa, Manuel Osvaldo, Andreo, Verónica, Paredes, Gladys, Leaplaza, Carlos, Heredia, Viviana, Periago, María Victoria, Abril, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386430/
https://www.ncbi.nlm.nih.gov/pubmed/37505658
http://dx.doi.org/10.3390/tropicalmed8070362
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author Espinosa, Manuel Osvaldo
Andreo, Verónica
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, María Victoria
Abril, Marcelo
author_facet Espinosa, Manuel Osvaldo
Andreo, Verónica
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, María Victoria
Abril, Marcelo
author_sort Espinosa, Manuel Osvaldo
collection PubMed
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.
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spelling pubmed-103864302023-07-30 Risk Stratification to Guide Prevention and Control Strategies for Arboviruses Transmitted by Aedes aegypti Espinosa, Manuel Osvaldo Andreo, Verónica Paredes, Gladys Leaplaza, Carlos Heredia, Viviana Periago, María Victoria Abril, Marcelo Trop Med Infect Dis Article 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. MDPI 2023-07-14 /pmc/articles/PMC10386430/ /pubmed/37505658 http://dx.doi.org/10.3390/tropicalmed8070362 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Espinosa, Manuel Osvaldo
Andreo, Verónica
Paredes, Gladys
Leaplaza, Carlos
Heredia, Viviana
Periago, María Victoria
Abril, Marcelo
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
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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386430/
https://www.ncbi.nlm.nih.gov/pubmed/37505658
http://dx.doi.org/10.3390/tropicalmed8070362
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