Spatio-temporal epidemiology of hand, foot and mouth disease in Liaocheng City, North China
نویسندگان
چکیده
Hand, foot and mouth disease (HFMD) has posed a notable threat to public health and become a public health priority in China. This study was based on the reported cases of HFMD between 2007 and 2011. A total of 34,176 HFMD cases were geo-coded at town level (n=134). Firstly, a descriptive analysis was conducted to evaluate the epidemic characteristics of HFMD. Then, the Kulldorff scan statistic based on a discrete Poisson model was used to detect spatial-temporal clusters. Spatial distribution of HFMD in Liaocheng City, China from 2007 to 2011 was mapped at town level in the aspects of crude incidence, excess hazard and spatial smoothed incidence. The spatial distribution of HFMD was non-random and clustered with a significant Moran's I value every year. The local Moran's I Z-score detected three significant spatial clusters for high incidence of HFMD. The space-time analysis identified one most likely cluster and twenty-five secondary clusters for high incidence of HFMD. We demonstrate evidence of the existence of statistically significant HFMD clusters in Liaocheng City. Our results provide better guidance for formulating regional prevention and control strategies.
منابع مشابه
Spatio-Temporal Clustering of Hand, Foot, and Mouth Disease at the County Level in Guangxi, China
BACKGROUND Amid numerous outbreaks of hand, foot and mouth disease (HFMD) in Asia over the past decade, studies on spatio-temporal clustering are limited. Without this information the distribution of severe cases assumed to be sporadic. We analyzed surveillance data with onset dates between 1 May 2008 to 31 October 2013 with the aim to document the spatio-temporal clustering of HFMD cases and s...
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BACKGROUND Hand, foot and mouth disease (HFMD) is one of the highest reported infectious diseases with several outbreaks across the world. This study aimed at describing epidemiological characteristics, investigating spatio-temporal clustering changes, and identifying determinant factors in different clustering areas of HFMD. METHODS Descriptive statistics was used to evaluate the epidemic ch...
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4 Yunxia Liu 5 Email: [email protected] 6 7 Xianjun Wang 8 Email: [email protected] 9 10 Chunkun Pang 11 Email: [email protected] 12 13 Zhongshang Yuan 14 Email: [email protected] 15 16 Hongkai Li 17 Email: [email protected] 18 19 Fuzhong Xue 20 Corresponding author 21 Email: [email protected] 22 23 1 Department of Epidemiology and Biostatistics, School of Public Health, Shandong Unive...
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