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Health Surveillance and Response to Sars-CoV-2 Mass Testing in Health Workers of a Large Italian Hospital in Verona, Veneto

Bibliographic Data

ID15512138
AuthorsStefano Porru (0000-0003-3564-7202, University of Verona), Angela Carta (0000-0002-3620-8765, University of Verona, corresponding author), Maria Grazia Lourdes Monaco (0000-0003-4951-2528, University of Verona), Giuseppe Verlato (0000-0001-5262-8818, University of Verona), Andrea Battaggia (0000-0001-5517-6167, University of Verona), Marco Parpaiola (0000-0002-3534-8555, University of Verona), Giuliana Lo Cascio (0000-0003-3971-2008, University of Verona), M Pegoraro (0000-0002-8669-3594, University of Verona), Valentina Militello (University of Verona), Francesca Moretti (0000-0003-1235-1054, University of Verona), Stefano Tardivo (0000-0002-9161-2189, University of Verona)
Year2020
Volume17
Issue14
Pages5104-5104
Publication date2020-07-15
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17145104
PMID32679773
OpenAlexW3042742893
LanguageEN
Citations received4
References cited18

Italy presented the first largest COVID-19 outbreak outside of China. Veneto currently ranks fourth among the Italian regions for COVID-19 confirmed cases (~19,000). This study presents health surveillance data for SARS-CoV-2 in 6100 health workers (HW) employed in a large public hospital. Workers underwent oropharyngeal and nasopharyngeal swabs, with a total of 5942 participants (97.5% of the population). A total of 11,890 specimens were tested for SARS-CoV-2 infection using PCR, identifying the viral genes E, RdRP, and N. Positive tests were returned for 238 workers (cumulative incidence of 4.0%, similar in both COVID and nonCOVID units). SARS-CoV-2 risk was not affected by gender, age, or job type, whereas work setting and occupation were both predictors of infection. The risk was higher in medical wards (OR 2.7, 95% CI 1.9-3.9) and health services (OR 4.3, 95% CI 2.4-7.6), and lower in surgical wards and administration areas. To our knowledge, this study represents the largest available HW case list swab-tested for SARS-CoV-2, covering almost the total workforce. Mass screening enabled the isolation of HW, improved risk assessment, allowed for close contacts of and infected HW to return to work, provided evidence of SARS-CoV-2 diffusion, and presented solid ground to prevent nosocomial SARS-CoV-2 infections. The ongoing concurrent sero-epidemiological study aims to enable the improvement of health surveillance to maintain the safety of HWs and the communities they serve

Coronavirus disease 2019 (COVID-19 · Environmental health · Incidence (geometry · Isolation (microbiology · Outbreak · Pandemic · Personal protective equipment · Population · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Workforce · COVID-19 and healthcare impacts · Infection Control and Ventilation · Medicine · Nursing · SARS-CoV-2 and COVID-19 Research · Emergency Medicine · Epidemiology · Internal Medicine · Virology

  • The impact of Sars-CoV-2 on healthcare workers of a large University Hospital in the Veneto Region

    Open Access•Filippo Liviero, Anna Volpin et al.•Frontiers in Public Health•2023

  • The Many Faces of Covid-19 at a Glance

    Open Access•Alberto Priori, Gaddo Morpurgo et al.•Frontiers in Public Health•2021

  • Sars-CoV-2 Infection in Health Workers

    Open Access•Stefano Porru, Maria Grazia Lourdes Monaco et al.•International Journal of…•2021

  • Contact Screening for Healthcare Workers Exposed to Patients with Covid-19

    Open Access•Luca Coppeta, Giuseppina Somma et al.•International Journal of…•2020

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  • The Italian health system and the Covid-19 challenge

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  • Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

    Dawei Wang, Bo Hu et al.•JAMA•2020

  • How will country-based mitigation measures influence the course of the Covid-19 epidemic?

    Open Access•Roxanne Marie Anderson, Roy M Anderson et al.•The Lancet•2020

  • Characteristics of and Important Lessons From the Coronavirus Disease 2019 (Covid-19) Outbreak in China

    Zunyou Wu, Jennifer M McGoogan•JAMA•2020

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  • A first estimation of the impact of public health actions against Covid-19 in Veneto (Italy)

    Open Access•Dario Gregori, Danila Azzolina et al.•Journal of Epidemiology and…•2020

Citations per year0.67
Citation span2020 - 2023 (4)
Highly citedNo

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