| Literature DB >> 34249830 |
Susanna Esposito1, Cosimo Neglia1, Paola Affanni1, Maria Eugenia Colucci1, Alberto Argentiero1, Licia Veronesi1, Giulia Messina1, Michela Deolmi1, Nicola Principi2.
Abstract
Background: Although the diagnosis of new coronavirus 2019 (COVID-19) is made through the identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in respiratory secretions by means of molecular methods, a more accurate estimation of SARS-CoV-2 circulation can be obtained by seroprevalence studies. The main aim of this study was to evaluate the true epidemiology of SARS-CoV-2 infection among workers in the metal-mechanical sector who never stopped working during the pandemic period in an area with a high incidence of COVID-19 and to define whether and how they could continue the work without appreciable risks during a second wave.Entities:
Keywords: COVID-19; SARS-CoV-2; epidemiology; occupational medicine; public health
Mesh:
Substances:
Year: 2021 PMID: 34249830 PMCID: PMC8267366 DOI: 10.3389/fpubh.2021.628098
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Epidemiological data of metal-mechanical workers working in an area with a high incidence of COVID-19, stratified by factory site.
| Age, years | 43.0 ± 12.2 | 44.8 ± 11.6 | 43.0 ± 10.1 | 0.46 |
| Sex | 0.27 | |||
| Males, | 167 (69.0) | 258 (74.8) | 169 (74.1) | |
| Females, | 75 (31.0) | 87 (25.2) | 59 (25.9) | |
| Did you undergo a swab after January 1 for suspected COVID-19? Yes (%) | 2 (0.8) | 11 (3.2) | 3 (1.3) | 0.09 |
| Was your swab positive? | 1 (0.4) | 2 (0.6) | 0 (–) | |
| Have you had symptoms such as fever, cough, difficult breathing, cold, or changes in taste or smell since January 1st? Yes (%) | 56 (23.1) | 100 (29.0) | 65 (28.5) | 0.25 |
| Have you had a diagnosed case of COVID-19 (positive swab) in your family (household)? Yes (%) | 5 (2.1) | 12 (3.5) | 4 (1.8) | 0.36 |
| If no, have any of your family members had COVID-19-like symptoms? Yes (%) | 48 (9.8) | 78 (2.6) | 41 (18.0) | 0.47 |
| Did you receive a flu vaccination? | 18 (0.4) | 33 (9.6) | 30 (13.2) | 0.11 |
Epidemiological data of metal-mechanical workers working in an area with a high incidence of COVID-19 stratified by serological immunochromatographic rapid test results.
| Age, years | 43.5 ± 11.4 | 51.0 ± 9.4 | <0.001 |
| Sex | 0.51 | ||
| Males, | 573 (73.1) | 21 (67.7) | |
| Females, | 211 (26.9) | 10 (32.3) | |
| Did you undergo a swab after January 1 for suspected COVID-19? Yes (%) | 10 (1.3) | 6 (19.5) | <0.001 |
| Have you had symptoms such as fever, cough, difficult breathing, cold, or changes in taste or smell since January 1st? Yes (%) | 203 (25.9) | 18 (58.1) | <0.001 |
| Have you had a diagnosed case of COVID-19 (positive swab) in your family (household)? Yes (%) | 21 (2.7) | – (–) | 0.37 |
| If not, have any of your family members had COVID-19-like symptoms? Yes (%) | 156 (19.9) | 11 (35.5) | <0.05 |
| Did you receive a flu vaccination? | 75 (9.6) | 6 (19.3) | 0.077 |
Univariate and multivariate logistic regression analysis showing associations between epidemiological data and the dependent variables of seropositivity for IgG/IgM against SARS-CoV-2.
| Sex | 0.77 [0.36–1.67] | 0.513 | 0.98 [0.43–2.21] | 0.96 |
| Age group | ||||
| <30 | – | – | – | |
| 30–40 | 4.06 [0.46–35.31] | 0.203 | 3.70 [0.41–32.71] | 0.24 |
| 40–50 | 0.47 [0.02–7.58] | 0.595 | 0.47 [0.03–7.67] | 0.60 |
| 50–60 | 11.48 [1.52–86.27] | <0.05 | 12.15 [1.60–92.49] | <0.05 |
| >60 | 5.48 [0.48–62.07] | 0.17 | 6.06 [0.50–72.52] | 0.15 |
| Intercept age group | 0.01 [0.01–0.06] | <0.001 | – | – |
| Previous history of COVID-19-like symptoms | 3.95 [1.9–8.2] | <0.001 | 3.89 [1.70–8.91] | <0.01 |
| Flu vaccination | 2.26 [0.90–5.70] | 0.08 | 1.57 [0.58–4.28] | 0.37 |
| Household members with COVID-19-like symptoms | 2.20 [1.04–4.82] | <0.05 | 1.38 [0.57–3.30] | 0.472 |
| Intercept multivariate | – | – | 0.004 [0.001–0.03] | <0.001 |
CI, confidence interval; OR, odds ratio.