Between March 28 and August 7 in North-West Italy, the proportion of SARS-CoV-2 positive workers was 4

Between March 28 and August 7 in North-West Italy, the proportion of SARS-CoV-2 positive workers was 4.97%, and significant differences were found among occupational sectors, with the highest seroprevalences in logistics (31.25%). No statistical difference was found among gender while seroprevalence was associated with subjects age, geographical location, and occupational sector. Significantly higher values of positivity were observed for the logistics sector (31.3%), EGFR-IN-3 weaving factory (12.6%), nursing homes (9.8%), and chemical industry (6.9%) workers. However, we observed some clusters of cases in single companies independently from the sector. Then, a detailed focus on 940 food workers shown a seroprevalence of 5.21% [95%CI 3.79C6.63] and subjects who self-reported COVID-19 EGFR-IN-3 symptoms and who worked during lockdown had a higher probability of being infected (< 0.001). Conclusions Data obtained might be useful for future public health decision; more than occupation sector, it seems that failure on prevention system in single companies increase the SARS-CoV-2 transmission. Keywords: seroprevalence, workers, SARS-CoV-2 Whats Important About This Paper? The effect of severe acute respiratory coronavirus 2 (SARS-CoV-2) viral circulation among active workers is usually poor known. Between March 28 and August 7 in North-West Italy, the proportion of SARS-CoV-2 positive workers was 4.97%, and significant differences were found among occupational sectors, with the highest seroprevalences in logistics (31.25%). However, single companies (independently of the sectors) may have had an important role in SARS-CoV-2 transmission, as clusters were detected. This indicates the need for infection prevention in workplaces. Introduction Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in December 2019, as the cause of the illness designated Coronavirus Disease 2019 (COVID-19) (Zhu < 0.05 and data were analyzed using SAS 9.4 (SAS Institute, Cary, North Carolina) and R software. Results From 28 April Rabbit Polyclonal to CDC25A to 7 August 2020, we collected the results for 23568 serological assessments from a convenience sample of 22708 workers from about 1000 companies; for 463 individuals more than one test was performed. About 60% (= 13613) of the participants were men with median age of 45 [IQR 36C52] years. The majority of subjects worked in Torino (41.0%), Biella (14.1%), Cuneo (12.2%), and Novara (8.0%); while the remaining were located in other Piedmont or North-Western Italian counties. Overall, 1129 workers had SARS-CoV-2 IgG positive measurements and the estimated seroprevalence was 4.97% [IC 95% 4.69C5.25]. Seroprevalences by general demographic characteristics are reported in Table 1. No statistical difference was found between genders (= 22708)= 1129)(%)< 0.001); details on seroprevalence across provinces are reported in Fig. 1. Despite few workers came from the provinces of Bergamo (= 32) and Brescia (= 20), these were the most affected areas, with prevalences of 25% and 15%, respectively. Significantly higher prevalences were observed for workers from Novara EGFR-IN-3 (6.70%, 95%CI 5.55C7.86), Alessandria (6.73%, 95%CI 5.18C8.29), and Vercelli (8.02%, 95%CI 6.51C9.54). Open in a separate window Physique 1. Map of seroprevalence of workers. Colors indicate lower and higher prevalence based on quartiles.Province abbreviation: AO = Aosta, Varese = VA, Asti = AT, Cuneo = CN, Biella = BI, Milano = MI, Torino = TO, Verbania = VB, Genova = GE, Novara = NO, Alessandria = AL, Vercelli = VC, Brescia EGFR-IN-3 = BS, Bergamo = BG. . A significant association was also found between seroprevalence and occupational sectors (< 0.0001). Significantly higher values of seroprevalence were observed for the logistics sector (31.25%, IC95% 8.54C53.96) and weaving factory (12.6%, IC95% 9.23C15.97) workers. However, in the first group the 95% CI were very wide due to low numbers of subjects analyzed (= 16), whereas in the.

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