摘要Objective Ozone pollution significantly impacts public health;however,inconsistent exposure assessment data introduce uncertainty to health risk evaluations.The accurate assessment of health risks and disease burden is essential to protecting public health and formulating effective control strategies.Methods This study used a generalized linear model to compare health risks and disease burdens assessed using three ozone datasets(CNEMC,TAP,and USTC)based on circulatory system disease mortality data from 199 Chinese counties(2014-2018).Results The impact of ozone exposure on the risk of death from circulatory system diseases was most significant at lag03.In the CNEMC dataset,a 10 μg/m3 increase in O3-MAD8 was associated with a 0.14%(95%CI:0.01%—0.26%)increase in the risk of death.In contrast,the risk estimates for TAP and USTC were 0.26%(95%CI:0.10%—0.42%)and 0.23%(95%CI:0.09%—0.37%),respectively,indicating a difference of up to 46%.The estimated annual attributable deaths by TAP and USTC were 1.96 and 1.85 times higher than those in the CNEMC dataset,respectively.Conclusion Ozone exposure was associated with increased circulatory system disease mortality.Both risk estimates and attributable mortality burdens varied substantially across different datasets,thus highlighting that exposure data selection can materially influence health risk evaluation.