Covid-19 Occupational Risk Incidence and Working Sectors Involved During the Pandemic in Italy.

Background: Starting from March 2020 until December 2021, different phases of Covid-19 pandemic have been identified in Italy, with several containing/lifting measures progressively enforced by the National government. In the present study, we investigate the change in occupational risk during the subsequent pandemic phases and we propose an estimate of the incidence of the cases by economic sector, based on the analysis of insurance claims for compensation for Covid-19. Methods: Covid-19 epidemiological data available for the general population and injury claims of workers covered by the Italian public insurance system in 2020-2021 were analyzed. Monthly Incidence Rate of Covid-19 compensation claims per 100,000 workers (MIRw) was calculated by the economic sector and compared with the same indicator for general population in different pandemic periods. Results: The distribution of Covid-19 MIRw by sector significantly changed during the pandemic related to both the strength of different waves and the mitigation/lifting strategies enforced. The level of occupational fraction was very high at the beginning phase of the pandemic, decreasing to 5% at the end of 2021. Healthcare and related services were continuously hit but the incidence was significantly decreasing in 2021 in all sectors, except for postal and courier activities in transportation and storage enterprises. Conclusion: The analysis of compensation claim data allowed to identify time trends for infection risk in different working sectors. The claim rates were highest for human health and social work activities but the distribution of risk among sectors was clearly influenced by the different stages of the pandemic.

Occupational impact in COVID-19 pandemic according to one year of compensation claims in Italy.

OBJECTIVES: to evaluate the patterns of occupational COVID-19 cases, based on compensation claims applied to the Italian National Institute for Insurance against Accidents at Work (Inail). DESIGN: descriptive analyses of daily time series of compensation claims applications, geographical distributions, and occupations involved. Multivariate analyses have been performed for identifying significant epidemiological pattern. SETTING AND PARTICIPANTS: compensation claims for COVID-19 injuries received by Inail from March 2020 to February 2021 have been analysed. MAIN OUTCOME MEASURES: daily time series of compensation claims applications in the first year of pandemic and comparatively with population data, patterns of occupations majorly involved in time, territorial clusters. RESULTS: in the observed period, Inail has received 155,684 workers' compensation claims with a first peak (more than 1,000 daily compensation claims) in March 2020 and a second peak (more than 1,500) in November 2020. A time dependent geographical pattern was identified, with the Northern regions formerly affected in the first phase, followed by a diffusion in the Central and Southern regions during the summer period. Health technicians (32% and 42% in male and female, respectively) and physicians (15%and 6%) were the most involved workers. The timing of infection was found to depend by job, with physicians, nurses, and health technicians firstly involved with a spread of about 2 weeks with respect to other jobs. Trend in health workers' vaccination has been found in a clear inverse relationship with the decreasing number of compensation claims, remaining, since February 2021, under one hundred daily cases of occupational COVID-19 compensation claims. CONCLUSIONS: different intensities, timing, and characteristics were found among application claims, which address for different pandemic diffusion paths. Health workers are the firstly and most involved impacted by the pandemic. The use of application claims could be useful and effective in monitoring the occupational component of COVID-19 and his trend in time and space. There is a need to establish an epidemiological surveillance system that includes the assessment of work related risk, supporting the effectiveness of public insurance and welfare system, and to harmonize occupational data collection among countries.

Temporal trend in the compensation claim applications for work-related COVID-19 in Italy.

INTRODUCTION: The SARS-CoV-2 pandemic is an impacting challenge for the occupational medicine and epidemiology. The identification of occupational groups most at risk of exposure is critical in contrasting and preventing the epidemic diffusion. OBJECTIVE: To analyse the compensation claim applications collected by the Italian Workers' Compensation Authority (INAIL) for identifying the occupational patterns and the temporal trend, in comparison with general population data. METHODS: Daily time series of compensation claim applications for COVID-19 injuries in the period March-October 2020, has been analysed, estimating the epidemiological parameters of interest and comparing findings with general population data. RESULTS: In the period March-October 2020, 65,804 compensation claim applications for COVID-19 have been collected by INAIL. The ratio between compensation claims applications and COVID-19 cases in the general population appears decreasing in the period, passing from 20% in the first pandemic period (March-April) to 3-4% in the September-October period. During the summer period, an increase in male and not Italian component and a decrease in mean age, Northern regions, and health care workers contributions to the occupational claims applications have been observed. DISCUSSION: The comparative analyses between occupational and general population data allowed to describe how the so called "second wave" of COVID-19 epidemic in Italy involved the occupational settings less than the other risk factors. There is a need to go towards an -occupational surveillance system for COVID-19 infection, with the aim of monitoring and preventing the occupational risk of infection, supporting insurance system effectiveness and managing vaccination policies.