[Autocorrelation analysis of pneumoconiosis in China]

Objective: Using spatial autocorrelation analysis to study spatial distribution characteristics of pneumoconiosis in China. Methods: The incidence of pneumoconiosis of each province from 2009 to 2013 was calculated by reported data of pneumoconiosis and the number of employment in mining and manufacturing of each province from Chinese statistical yearbook. The global and local spatial autocorrelation analysis was im-plemented by global and local's Moran's I index respectively. Results: A total of 112 066 new cases of pneumo-coniosis were reported from 2009 to 2013 in China, Global Moran's I from 2009 to 2013 was -0.114、0.179、0.199、0.259 and 0.241 respectively. A total of 15 space units with statistical significance were detected by local spatial autocorrelation analysis, which were mainly high-high regions. Conclusion: There was weak global spa-tial autocorrelation relationship of the incidence of pneumoconiosis from 2010 to 2013 among the provinces in China. The results of local spatial autocorrelation analysis suggested that there were clustering regions of pneumo-coniosis in the southwest and central south of China.