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

被引:5
作者
Marinaccio, Alessandro [1 ]
Gariazzo, Claudio [1 ]
Brusco, Adelina [1 ]
Bucciarelli, Andrea [1 ]
D'Amario, Silvia [1 ]
Scarselli, Alberto [1 ]
Iavicoli, Sergio [1 ]
机构
[1] Italian Natl Inst Insurance Accidents Work Inail, Rome, Italy
来源
EPIDEMIOLOGIA & PREVENZIONE | 2021年 / 45卷 / 06期
关键词
COVID-19; occupational injuries; compensation claims; occupational risk; Italy; WORK;
D O I
10.19191/EP21.6.111
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 PARTICI PANTS: 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.
引用
收藏
页码:513 / 521
页数:9
相关论文
共 29 条
[1]  
Agrimi U, 82021 I SUP SAN
[2]   Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection [J].
Baker, Marissa G. ;
Peckham, Trevor K. ;
Seixas, Noah S. .
PLOS ONE, 2020, 15 (04)
[3]   Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance [J].
Bloom, Jesse D. ;
Gong, Lizhi Ian ;
Baltimore, David .
SCIENCE, 2010, 328 (5983) :1272-1275
[4]   COVID-19 as an occupational disease [J].
Carlsten, Christopher ;
Gulati, Mridu ;
Hines, Stella ;
Rose, Cecile ;
Scott, Kenneth ;
Tarlo, Susan M. ;
Toren, Kjell ;
Sood, Akshay ;
de la Hoz, Rafael E. .
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, 2021, 64 (04) :227-237
[5]   COVID-19: Protecting Healthcare Workers is a priority [J].
Chirico, Francesco ;
Nucera, Gabriella ;
Magnavita, Nicola .
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2020, 41 (09) :1117-1117
[6]   Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study [J].
Clark, Andrew ;
Jit, Mark ;
Warren-Gash, Charlotte ;
Guthrie, Bruce ;
Wang, Harry H. X. ;
Mercer, Stewart W. ;
Sanderson, Colin ;
McKee, Martin ;
Troeger, Christopher ;
Ong, Kanyin L. ;
Checchi, Francesco ;
Perel, Pablo ;
Joseph, Sarah ;
Gibbs, Hamish P. ;
Banerjee, Amitava ;
Eggo, Rosalind M. .
LANCET GLOBAL HEALTH, 2020, 8 (08) :1003-1017
[7]  
Dagum EB, 2001, Analisi Delle Serie Storiche: Modellistica, Previsione e Scomposizione
[8]   COVID-19: are not all workers 'essential'? [J].
De Matteis, Sara .
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2021, 78 (05) :305-306
[9]   Occupational Exposure in the Lombardy Region (Italy) to SARS-CoV-2 Infection: Results from the MUSTANG-OCCUPATION-COVID-19 Study [J].
Della Valle, Paola ;
Fabbri, Marco ;
Madotto, Fabiana ;
Ferrara, Pietro ;
Cozzolino, Paolo ;
Calabretto, Elisabetta ;
D'Orso, Marco Italo ;
Longhi, Ermanno ;
Polosa, Riccardo ;
Riva, Michele Augusto ;
Mazzaglia, Giampiero ;
Sommese, Carmen ;
Mantovani, Lorenzo Giovanni .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (05) :1-15
[10]  
Dyal JW, 2020, MMWR-MORBID MORTAL W, V69, P557, DOI 10.15585/mmwr.mm6918e3