A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia

被引:69
作者
Delmelle, Eric [1 ]
Hagenlocher, Michael [2 ]
Kienberger, Stefan [3 ]
Casas, Irene [4 ]
机构
[1] Univ N Carolina, Dept Geog & Earth Sci, Charlotte, NC 28223 USA
[2] United Nations Univ UNU EHS, Inst Environm & Human Secur, UN Campus,Pl Vereinten Nationen 1, D-53113 Bonn, Germany
[3] Salzburg Univ, Interfac Dept Geoinformat Z GIS, A-5020 Salzburg, Austria
[4] Louisiana Tech Univ, Sch Hist & Social Sci, Ruston, LA 71272 USA
关键词
Colombia; Dengue fever; Environmental and socioeconomic determinants; GIS; Geographically weighted regression (GWR); AEDES-AEGYPTI; SPATIOTEMPORAL PATTERNS; INFECTIOUS-DISEASES; TEMPORAL PATTERNS; VIRUS SEROTYPES; HUMAN MOVEMENT; CLIMATE-CHANGE; VULNERABILITY; EPIDEMIC; REGRESSION;
D O I
10.1016/j.actatropica.2016.08.028
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Dengue fever has gradually re-emerged across the global South, particularly affecting urban areas of the tropics and sub-tropics. The dynamics of dengue fever transmission are sensitive to changes in environmental conditions, as well as local demographic and socioeconomic factors. In 2010, the municipality of Cali, Colombia, experienced one of its worst outbreaks, however the outbreak was not spatially homogeneous across the city. In this paper, we evaluate the role of socioeconomic and environmental factors associated with this outbreak at the neighborhood level, using a Geographically Weighted Regression model. Key socioeconomic factors include population density and socioeconomic stratum, whereas environmental factors are proximity to both tire shops and plant nurseries and the presence of a sewage system (R-2 = 0.64). The strength of the association between these factors and the incidence of dengue fever is spatially heterogeneous at the neighborhood level. The findings provide evidence to support public health strategies in allocating resources locally, which will enable a better detection of high risk areas, a reduction of the risk of infection and to strengthen the resilience of the population. Published by Elsevier B.V.
引用
收藏
页码:169 / 176
页数:8
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