Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China

Kangkang Liu, Yanshan Zhu, Yao Xia, Yingtao Zhang, Xiaodong Huang, Jiawei Huang, Enqiong Nie, Qinlong Jing, Guoling Wang, Zhicong Yang, Wenbiao Hu and Jiahai Lu

PLOS Neglected Tropical Diseases, 2018, vol. 12, issue 3, 1-15

Abstract: Background: This study aimed to investigate the spatiotemporal clustering and socio-environmental factors associated with dengue fever (DF) incidence rates at street level in Guangzhou city, China. Methods: Spatiotemporal scan technique was applied to identify the high risk region of DF. Multiple regression model was used to identify the socio-environmental factors associated with DF infection. A Poisson regression model was employed to examine the spatiotemporal patterns in the spread of DF. Results: Spatial clusters of DF were primarily concentrated at the southwest part of Guangzhou city. Age group (65+ years) (Odd Ratio (OR) = 1.49, 95% Confidence Interval (CI) = 1.13 to 2.03), floating population (OR = 1.09, 95% CI = 1.05 to 1.15), low-education (OR = 1.08, 95% CI = 1.01 to 1.16) and non-agriculture (OR = 1.07, 95% CI = 1.03 to 1.11) were associated with DF transmission. Poisson regression results indicated that changes in DF incidence rates were significantly associated with longitude (β = -5.08, P

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pntd00:0006318

DOI: 10.1371/journal.pntd.0006318

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