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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10386430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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