ABSTRACT
@#Abstract: Objective （ Based on the data from the ″Occupational Diseases Hazardous Items Reporting System″ hereinafter ）， referred to as the ″Reporting System″ a method was constructed to estimate the number of occupational dust exposed workers （ ） in coal mining and washing enterprises hereinafter referred to as "coal workers" at the provincial administrative level. Methods ， A typical sampling method was used to study 1 808 coal enterprises in Shanxi Province Inner Mongolia Autonomous ， ， Region Shaanxi Province and Xinjiang Uygur Autonomous Region in 2020 in the Reporting System. Based on the data of 1 217 ， ， - coal enterprises that were coal mining or integrated coal mining and washing enterprises a multi level model was established to analyze the association between the number of coal workers and raw coal production. Two scenarios were set up based on the ， enterprise scale composition ratio to estimate the number of underreported coal workers and the number of coal workers in each Results provincial administrative region was corrected. The data of the Reporting System in 2020 showed that the ranking of ， raw coal production and the number of coal workers from most to least were Shanxi Province Inner Mongolia Autonomous ， ， Region Shaanxi Province and Xinjiang Uygur Autonomous Region with a total of 1 002 842 coal workers. The random intercept ， model using raw coal production enterprise scale and their interaction terms was fitted optimally with a −2 log likelihood value of 2 005.96 and Akaike information criterion value of 2 017.95. The factors affecting the number of coal workers included raw ， coal production and its interaction with the scale of enterprises. For every 1.00% change in raw coal production the number of ， coal workers in small and micro enterprises changed by 0.62% and the number of coal workers in large and medium enterprises changed by 0.13% more than that in small and micro enterprises. The corrected total number of coal workers for the four ， Conclusion provincial administrative regions was 1 125 515 and 1 089 321 for the two hypothetical scenarios respectively.The multi level model constructed with the data of raw coal production enterprise scale and their interaction terms of four ， provincial administrative regions could estimate the number of coal workers accurately and could better correct the number of coal workers in each provincial administrative region.