Daily temperatures were then assessed in 3 time lags: for the day of the event (lag 0), and for the previous 24 h (lag 1) and 48 h (lag 2). Daily temperatures were then categorized in 3 exposure groups (< 75th, 75-95th and > 95th percentiles). The risk of OIs was assessed as odds ratio (OR) calculated through a Poisson regression model controlled for age, sex, ethnicity and time period, and assuming OI rates for days on which temperature was comprised in < 75th percentile exposure groups as the referent ones. Results: Estimated incidence of OIs during the study period was 3.4±2.3 events/day. The peak of work-related accidents occurred on days characterized by severe thermal conditions, and in particular during heat waves (incidence rate ratio = 1.09, 95% confidence interval (CI): 1.02-1.17, p = 0.0165). Days having temperatures higher than 95th percentile, assessed as daily average, both on current days (OR = 1.119, 95% CI: 1.008-1.242) and in lag 1 (OR = 1.125, 95% CI: 1.013-1.249), as well as daily maximum temperatures, were at the highest risk of work-related injuries (OR = 1.144, 95% CI: 1.029-1.272). Conclusions: In conclusion, presented findings recommend policymakers to develop appropriate warning/alert systems for agricultural workers regarding high environmental temperatures. Int J Occup Med Environ Health 2018;31(3):317 -331