Spatial-temporal clustering analysis of hand, foot and mouth disease in Hunan Province in 2016 - 2020
- VernacularTitle:2016—2020年湖南省手足口病时空聚集性分析
- Author:
Shanlu ZHAO
1
;
Lin YANG
2
;
Kaiwei LUO
1
;
Shikang LI
1
;
Shuaifeng ZHOU
1
;
Qianlai SUN
1
;
Fan ZHANG
1
;
Zhihui DAI
1
;
Ge ZENG
1
;
Hao YANG
1
;
Ziyan LIU
1
;
Shengbao CHEN
1
;
Shixiong HU
1
Author Information
- Publication Type:Journal Article
- Keywords: Hand, foot and mouth disease; Spatial autocorrelation; Temporal and spatial aggregation
- From: Journal of Public Health and Preventive Medicine 2022;33(2):7-10
- CountryChina
- Language:Chinese
- Abstract: Objective To analyze the spatial and temporal characteristics of hand, foot and mouth disease (HFMD) in Hunan Province from 2016 to 2020. Methods The data of HFMD in Hunan Province from 2016 to 2020 were collected from China's Disease Prevention and Control Information System. HFMD spatial autocorrelation analysis was conducted by ArcGIS 10.2 software at county level, and spatial-temporal scan statistical analysis was performed by SaTScan 9.7 software. Results A total of 714 157 cases was reported in Hunan Province during 2016-2020, with an average annual incidence rate of 208.36/100 000. Global spatial autocorrelation showed that HFMD had a positive spatial correlation on the county scale in Hunan Province during this period. Local spatial autocorrelation indicated that the hot spots were mainly concentrated in the north of central Hunan, the east of central Hunan and the west of Hunan. Spatial-temporal scanning analysis revealed the first class clusters (RR = 6.65, P< 0.001) covering 34 counties in northern and central Hunan, mainly distributed in Yueyang City, Changsha City, Zhuzhou City, Yiyang City and Xiangtan City from May 2018 to June, and the second class clusters (RR = 3.02, P < 0.001) covering 40 counties in western Hunan and central and southwest Hunan from April 2016 to June 2016. Conclusion HFMD incidence exhibits seasonal and regional characteristics in Hunan Province. The prevention and control of HFMD should be guided by combining the characteristics of spatial-temporal clustering.