Objective：This study aims to analyze the short-term effect of PM2.5 and PM10 concentration on daily outpatient visits of influenza-like illness（ILI）in Lianyungang. Methods：The daily mean concentration of air pollutants，meteorological parameters and daily outpatient visits of ILI in 8 monitoring hospitals in Lianyungang from 2014 to 2016 were collected. The effects of PM2.5 and PM10 on daily outpatient visits of ILI and exposure-response relations were analyzed by generalized additive model. Results：The single pollutant model showed that the daily outpatient visits of ILI increased by 2.3%（RR=1.023，95% CI=1.017-1.035）and 3.8%（RR=1.038，95% CI=1.025-1.051）respectively for each quartile interval of PM2.5 and PM10 under the optimal lag condition. Dual-pollutant and multi-pollutant models showed that PM2.5 and PM10 were positively correlated with daily outpatient visits of ILI after correction of confounding factors. Exposure-response relations showed that the risk of ILI increased gradually with the increase of PM2.5 and PM10 at low concentrations. However，when PM2.5 and PM10 increased to about 50 μg/m3 and 100 μg/m3 respectively，the risk of ILI tended to stabilize. Conclusion：The increase of PM2.5 and PM10 concentration can increase the daily outpatient visits of ILI，and there is exposure-response relation.