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

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  • Additional Information
    • Contributors:
      Centro de Estudios e Investigación en Salud, Fundación Santa Fe de Bogotá; Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS); Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
    • Publication Information:
      HAL CCSD
      BioMed Central
    • Publication Date:
      2017
    • Collection:
      Université Paris 1 Panthéon-Sorbonne: HAL
    • Abstract:
      International audience ; BackgroundDengue 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.MethodsBased 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.ResultsGeocoded 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.ConclusionsDespite 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 ...
    • Relation:
      halshs-01591974; https://shs.hal.science/halshs-01591974; https://shs.hal.science/halshs-01591974/document; https://shs.hal.science/halshs-01591974/file/space-Fuentes.pdf
    • Accession Number:
      10.1186/s12879-017-2610-7
    • Online Access:
      https://doi.org/10.1186/s12879-017-2610-7
      https://shs.hal.science/halshs-01591974
      https://shs.hal.science/halshs-01591974/document
      https://shs.hal.science/halshs-01591974/file/space-Fuentes.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.91BAAAF8