Spatial Clustering of Dengue Fever Incidence and Its Association with Surrounding Greenness

International Journal of Environmental Research and Public Health
Chi-Chieh HuangChih-Da Wu

Abstract

With more than 58,000 cases reported by the country's Centers for Disease Control, the dengue outbreaks from 2014 to 2015 seriously impacted the southern part of Taiwan. This study aims to assess the spatial autocorrelation of the dengue fever (DF) outbreak in southern Taiwan in 2014 and 2015, and to further understand the effects of green space (such as forests, farms, grass, and parks) allocation on DF. In this study, two different greenness indexes were used. The first green metric, the normalized difference vegetation index (NDVI), was provided by the long-term NASA MODIS satellite NDVI database, which quantifies and represents the overall vegetation greenness. The latest 2013 land use survey GIS database completed by the National Land Surveying and Mapping Center was obtained to access another green metric, green land use in Taiwan. We first used Spearman's rho to find out the relationship between DF and green space, and then three spatial autocorrelation methods, including Global Moran's I, high/low clustering, and Hot Spot were employed to assess the spatial autocorrelation of DF outbreak. In considering the impact of social and environmental factors in DF, we used generalized linear mixed models (GLMM) to further clarif...Continue Reading

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Citations

Dec 15, 2019·International Journal of Environmental Research and Public Health·Shuli ZhouTie Song
May 22, 2019·International Journal of Environmental Research and Public Health·Thomas C McHaleJorge Cano
Jun 17, 2020·Emerging Microbes & Infections·Tsheten TshetenKinley Wangdi
Jun 27, 2020·International Journal of Environmental Research and Public Health·Zhichao LiPeng Gong
Apr 10, 2021·Gaceta sanitaria·Sri Astuti ThamrinKerrie Mengersen
Oct 21, 2021·PLoS Neglected Tropical Diseases·Panjun GaoQiyong Liu

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Methods Mentioned

BETA
Enzyme-Linked Immunosorbent Assay

Software Mentioned

MODIS NDVI
mgcv
ArcGIS
R R Foundation for Statistical Computing

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