[Spatiotemporal distribution of measles in China, 2001-2016]

Objective: To understand the spatial-temporal distribution and spatial clusters of measles cases in China. Methods: Measles incidence data was collected from the National Notifiable Disease Reporting System of Chinese Center for Disease Control and Prevention. The global and local spatial autocorrelation analyses were conducted by using software ArcGIS 10.2 and spatial-temporal scan was conducted by using software SaTScan 9.6. Results: A total of 1 012 537 cases of measles were reported in China from 2001 to 2016 and the annual incidence showed a sharp downward trend. There was global spatial clustering of measles cases during 2001-2004, 2005-2008, and 2009-2012, and their Moran's I coefficients were 0.29, 0.26, and 0.31, respectively. The results of local spatial autocorrelation analysis showed that there were high- high clustering areas of measles at all time periods, especially in western China. Guangdong province was detected as a separate high-low scattered area from 2005 to 2008 and no low-low clustering area was detected. The spatial-temporal scan statistics showed that there was a wide clustering area covering western, central and northern China, and Shanxi province and Guangxi Zhuang Autonomous Region from 2001-2008. Conclusion: The incidence of measles in China has a certain clustering in both space and time during 2001-2016, the results provide evidence for the development of future strategy of measles prevention and control in China.