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Della Valle P, Fabbri M, Madotto F, Ferrara P, Cozzolino P, Calabretto E, D'Orso MI, Longhi E, Polosa R, Riva MA, Mazzaglia G, Sommese C, Mantovani LG, The Mustang-Occupation-Covid-Study Group. Occupational Exposure in the Lombardy Region (Italy) to SARS-CoV-2 Infection: Results from the MUSTANG-OCCUPATION-COVID-19 Study. IJERPH 2021; 18:2567. [PMID: 33806578 PMCID: PMC7967539 DOI: 10.3390/ijerph18052567] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 01/12/2023]
Abstract
Sero-epidemiological surveys are valuable attempts to estimate the circulation of SARS-CoV-2 in general or selected populations. Within this context, a prospective observational study was conducted to estimate the prevalence and persistence of SARS-CoV-2 antibodies in different categories of workers and factors associated with positivity, through the detection of virus-specific immunoglobulin G and M (IgG/IgM) in serum samples. Enrollees were divided in low exposure and medium-high groups on the basis of their work activity. Antibody responders were re-contacted after 3 months for the follow-up. Of 2255 sampled workers, 4.8% tested positive for SARS-CoV-2 IgG/IgM antibodies, with 81.7% to IgG only. Workers who continued to go to their place of work, were healthcare workers, or experienced at least one COVID-19-related symptom were more likely to test positive for SARS-CoV-2 antibodies. SARS-CoV-2 antibodies prevalence was significantly higher in the medium-high risk vs. low-risk group (7.2% vs. 3.0%, p < 0.0001). At 3-month follow-up, 81.3% of subjects still had antibody response. This study provided important information of SARS-CoV-2 infection prevalence among workers in northern Italy, where the impact of COVID-19 was particularly intense. The presented surveillance data give a contribution to refine current estimates of the disease burden expected from the SARS-CoV-2.
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Affiliation(s)
- Paola Della Valle
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
- IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy
| | - Marco Fabbri
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
- IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy
| | | | - Pietro Ferrara
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
- IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy
| | | | | | - Marco Italo D'Orso
- Consortium for Occupational and Environmental Medicine, Department of Medicine and Surgery, University of Milan-Bicocca, 20900 Monza, Italy
| | | | - Riccardo Polosa
- Center of Excellence for the Acceleration of HArm Reduction (CoEHAR), University of Catania, 95131 Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, 95131 Catania, Italy
| | - Michele Augusto Riva
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
| | - Giampiero Mazzaglia
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
| | | | - Lorenzo Giovanni Mantovani
- Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy
- IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy
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