Spatial epidemiological analysis of measles in Taizhou from 2009 to 2017
10.16462/j.cnki.zhjbkz.2019.03.006
- Author:
Chao WANG
1
;
Xiang ZHANG
;
Zhong-kui ZHU
;
Yan XIE
;
Hui XIAO
;
Wan-qin TANG
Author Information
1. Immunization Planning Section, Taizhou Center for Disease Control and Prevention, TaiZhou 225300, China
- Publication Type:Research Article
- Keywords:
Measles;
Spatial analysis;
Incidence
- From:
Chinese Journal of Disease Control & Prevention
2019;23(3):273-277
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the spatial epidemiological characteristics of measles in Taizhou from 2009 to 2017, so as to provide theoretical basis for measles prevention and control. Methods The spatial autocorrelation analysis and trend surface analysis of measles epidemics data from 2009 to 2017 in Taizhou were performed using ArcGIS 10.0 software. The dynamic characteristics of measles epidemics in Taizhou were analyzed. Results Among 2009-2017 years, the incidences of measles in Taizhou ranged from 0.83/1 million to 65.43/1 million. The results of global autocorrelation analysis showed that there were spatial correlations of the incidence of measles among 2012, 2013, 2015, and 2016 in Taizhou with a high-value clustering distribution. Local autocorrelation analysis indicated that the hot spots of measles incidence in Taizhou from 2009 to 2017 were mainly concentrated in the central towns of Taizhou. Trend surface analysis suggested that the measles incidence in the south towns of Taizhou was higher than that in the north in 2010, and the incidence in the central region was higher than those in other regions in 2013 and 2015. Conclusions According to the spatial analysis, autocorrelation was observed for the spatial distribution of measles incidence in Taizhou from 2009 to 2017, and there are hot spots in the central township. Targeted preventive measures should be taken based on these characteristics.
