Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia
Introduction: It is difficult to adapt or create new strategies for dengue control in rural areas due to the dispersion of homes and the lack of knowledge about the presence and behavior of the vector in these areas. Spatial data analysis could help understand time and space dynamics related to the...
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Instituto Nacional de Salud
2017
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ftdoajarticles:oai:doaj.org/article:3eefcd76c41d4a34a1bbc1b6e08b79c8 2023-05-15T15:06:58+02:00 Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia Laura Cabezas Wilson Cabanzo Fernando Santa Victor Alberto Olano Diana Sarmiento Sandra Vargas Juan Felipe Jaramillo Thor-Axel Stenstrom Hans J. Overgaard María Inés Matiz 2017-03-01T00:00:00Z https://doi.org/10.7705/biomedica.v37i0.3469 https://doaj.org/article/3eefcd76c41d4a34a1bbc1b6e08b79c8 EN ES eng spa Instituto Nacional de Salud https://www.revistabiomedica.org/index.php/biomedica/article/view/3469 https://doaj.org/toc/0120-4157 0120-4157 doi:10.7705/biomedica.v37i0.3469 https://doaj.org/article/3eefcd76c41d4a34a1bbc1b6e08b79c8 Biomédica: revista del Instituto Nacional de Salud, Vol 37, Iss 0, Pp 41-49 (2017) Aedes aegypti dengue spatial analysis public health disease vectors Colombia Medicine R Arctic medicine. Tropical medicine RC955-962 article 2017 ftdoajarticles https://doi.org/10.7705/biomedica.v37i0.3469 2022-12-31T00:01:11Z Introduction: It is difficult to adapt or create new strategies for dengue control in rural areas due to the dispersion of homes and the lack of knowledge about the presence and behavior of the vector in these areas. Spatial data analysis could help understand time and space dynamics related to the transmission of vector-borne diseases in rural areas and, thus, contribute to the prevention and control of dengue. Objective: To determine the probability of the presence of the dengue vector Aedes aegypti in the rural area of the municipalities of Anapoima and La Mesa, in the central area of Colombia. Materials and methods: The probability of the presence or absence of the vector in the study area was determined by means of the kriging spatial interpolation method. Results: The region with the highest probability of the presence of the vector was located in the central part, close to the urban centers of both municipalities. Conclusion: This study shows the importance of geostatistics for the surveillance of vector-borne diseases and the analysis of time and space dynamics of vector insects and of diseases transmitted by them. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Biomédica 37 41 |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English Spanish |
topic |
Aedes aegypti dengue spatial analysis public health disease vectors Colombia Medicine R Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
Aedes aegypti dengue spatial analysis public health disease vectors Colombia Medicine R Arctic medicine. Tropical medicine RC955-962 Laura Cabezas Wilson Cabanzo Fernando Santa Victor Alberto Olano Diana Sarmiento Sandra Vargas Juan Felipe Jaramillo Thor-Axel Stenstrom Hans J. Overgaard María Inés Matiz Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
topic_facet |
Aedes aegypti dengue spatial analysis public health disease vectors Colombia Medicine R Arctic medicine. Tropical medicine RC955-962 |
description |
Introduction: It is difficult to adapt or create new strategies for dengue control in rural areas due to the dispersion of homes and the lack of knowledge about the presence and behavior of the vector in these areas. Spatial data analysis could help understand time and space dynamics related to the transmission of vector-borne diseases in rural areas and, thus, contribute to the prevention and control of dengue. Objective: To determine the probability of the presence of the dengue vector Aedes aegypti in the rural area of the municipalities of Anapoima and La Mesa, in the central area of Colombia. Materials and methods: The probability of the presence or absence of the vector in the study area was determined by means of the kriging spatial interpolation method. Results: The region with the highest probability of the presence of the vector was located in the central part, close to the urban centers of both municipalities. Conclusion: This study shows the importance of geostatistics for the surveillance of vector-borne diseases and the analysis of time and space dynamics of vector insects and of diseases transmitted by them. |
format |
Article in Journal/Newspaper |
author |
Laura Cabezas Wilson Cabanzo Fernando Santa Victor Alberto Olano Diana Sarmiento Sandra Vargas Juan Felipe Jaramillo Thor-Axel Stenstrom Hans J. Overgaard María Inés Matiz |
author_facet |
Laura Cabezas Wilson Cabanzo Fernando Santa Victor Alberto Olano Diana Sarmiento Sandra Vargas Juan Felipe Jaramillo Thor-Axel Stenstrom Hans J. Overgaard María Inés Matiz |
author_sort |
Laura Cabezas |
title |
Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
title_short |
Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
title_full |
Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
title_fullStr |
Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
title_full_unstemmed |
Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia |
title_sort |
spatial distribution of aedes aegypti (diptera: culicidae) in the rural area of two municipalities of cundinamarca, colombia |
publisher |
Instituto Nacional de Salud |
publishDate |
2017 |
url |
https://doi.org/10.7705/biomedica.v37i0.3469 https://doaj.org/article/3eefcd76c41d4a34a1bbc1b6e08b79c8 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Biomédica: revista del Instituto Nacional de Salud, Vol 37, Iss 0, Pp 41-49 (2017) |
op_relation |
https://www.revistabiomedica.org/index.php/biomedica/article/view/3469 https://doaj.org/toc/0120-4157 0120-4157 doi:10.7705/biomedica.v37i0.3469 https://doaj.org/article/3eefcd76c41d4a34a1bbc1b6e08b79c8 |
op_doi |
https://doi.org/10.7705/biomedica.v37i0.3469 |
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Biomédica |
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37 |
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41 |
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