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Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia

BACKGROUND: Dengue is a widely spread vector-borne disease. Dengue cases in the Americas have increased over the last few decades, affecting various urban spaces throughout these continents, including the tourism-oriented city of Girardot, Colombia. Interactions among mosquitoes, pathogens and human...

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Autor principal: Fuentes-Vallejo, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525249/
https://www.ncbi.nlm.nih.gov/pubmed/28738782
http://dx.doi.org/10.1186/s12879-017-2610-7
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author Fuentes-Vallejo, Mauricio
author_facet Fuentes-Vallejo, Mauricio
author_sort Fuentes-Vallejo, Mauricio
collection PubMed
description BACKGROUND: Dengue is a widely spread vector-borne disease. Dengue cases in the Americas have increased over the last few decades, affecting various urban spaces throughout these continents, including the tourism-oriented city of Girardot, Colombia. Interactions among mosquitoes, pathogens and humans have recently been examined using different temporal and spatial scales in attempts to determine the roles that social and ecological systems play in dengue transmission. The current work characterizes the spatial and temporal behaviours of dengue in Girardot and discusses the potential territorial dynamics related to the distribution of this disease. METHODS: Based on officially reported dengue cases (2012–2015) corresponding to epidemic (2013) and inter-epidemic years (2012, 2014, 2015), space (Getis-Ord index) and space-time (Kulldorff’s scan statistics) analyses were performed. RESULTS: Geocoded dengue cases (n = 2027) were slightly overrepresented by men (52.1%). As expected, the cases were concentrated in the 0- to 15-year-old age group according to the actual trends of Colombia. The incidence rates of dengue during the rainy and dry seasons as well as those for individual years (2012, 2013 and 2014) were significant using the global Getis-Ord index. Local clusters shifted across seasons and years; nevertheless, the incidence rates clustered towards the southwest region of the city under different residential conditions. Space-time clusters shifted from the northeast to the southwest of the city (2012–2014). These clusters represented only 4.25% of the total cases over the same period (n = 1623). A general trend was observed, in which dengue cases increased during the dry seasons, especially between December and February. CONCLUSIONS: Despite study limitations related to official dengue records and available fine-scale demographic information, the spatial analysis results were promising from a geography of health perspective. Dengue did not show linear association with poverty or with vulnerable peripheral spaces in intra-urban settings, supporting the idea that the pathogenic complex of dengue is driven by different factors. A coordinated collaboration of epidemiological, public health and social science expertise is needed to assess the effect of “place” from a relational perspective in which geography has an important role to play. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2610-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-55252492017-07-26 Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia Fuentes-Vallejo, Mauricio BMC Infect Dis Research Article BACKGROUND: Dengue is a widely spread vector-borne disease. Dengue cases in the Americas have increased over the last few decades, affecting various urban spaces throughout these continents, including the tourism-oriented city of Girardot, Colombia. Interactions among mosquitoes, pathogens and humans have recently been examined using different temporal and spatial scales in attempts to determine the roles that social and ecological systems play in dengue transmission. The current work characterizes the spatial and temporal behaviours of dengue in Girardot and discusses the potential territorial dynamics related to the distribution of this disease. METHODS: Based on officially reported dengue cases (2012–2015) corresponding to epidemic (2013) and inter-epidemic years (2012, 2014, 2015), space (Getis-Ord index) and space-time (Kulldorff’s scan statistics) analyses were performed. RESULTS: Geocoded dengue cases (n = 2027) were slightly overrepresented by men (52.1%). As expected, the cases were concentrated in the 0- to 15-year-old age group according to the actual trends of Colombia. The incidence rates of dengue during the rainy and dry seasons as well as those for individual years (2012, 2013 and 2014) were significant using the global Getis-Ord index. Local clusters shifted across seasons and years; nevertheless, the incidence rates clustered towards the southwest region of the city under different residential conditions. Space-time clusters shifted from the northeast to the southwest of the city (2012–2014). These clusters represented only 4.25% of the total cases over the same period (n = 1623). A general trend was observed, in which dengue cases increased during the dry seasons, especially between December and February. CONCLUSIONS: Despite study limitations related to official dengue records and available fine-scale demographic information, the spatial analysis results were promising from a geography of health perspective. Dengue did not show linear association with poverty or with vulnerable peripheral spaces in intra-urban settings, supporting the idea that the pathogenic complex of dengue is driven by different factors. A coordinated collaboration of epidemiological, public health and social science expertise is needed to assess the effect of “place” from a relational perspective in which geography has an important role to play. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-017-2610-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-24 /pmc/articles/PMC5525249/ /pubmed/28738782 http://dx.doi.org/10.1186/s12879-017-2610-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Fuentes-Vallejo, Mauricio
Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title_full Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title_fullStr Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title_full_unstemmed Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title_short Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia
title_sort space and space-time distributions of dengue in a hyper-endemic urban space: the case of girardot, colombia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525249/
https://www.ncbi.nlm.nih.gov/pubmed/28738782
http://dx.doi.org/10.1186/s12879-017-2610-7
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