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COVID-19 in Health-Care Workers: A Living Systematic Review and Meta-Analysis of Prevalence, Risk Factors, Clinical Characteristics, and Outcomes.
Am J Epidemiol ; 190(1): 161-175, 2021 01 04.
Article in English | MEDLINE | ID: covidwho-1010326
ABSTRACT
Health-care workers (HCWs) are at the frontline of response to coronavirus disease 2019 (COVID-19), being at a higher risk of acquiring the disease and, subsequently, exposing patients and others. Searches of 8 bibliographic databases were performed to systematically review the evidence on the prevalence, risk factors, clinical characteristics, and prognosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among HCWs. A total of 97 studies (all published in 2020) met the inclusion criteria. The estimated prevalence of SARS-CoV-2 infection from HCWs' samples, using reverse transcription-polymerase chain reaction and the presence of antibodies, was 11% (95% confidence interval (CI) 7, 15) and 7% (95% CI 4, 11), respectively. The most frequently affected personnel were nurses (48%, 95% CI 41, 56), whereas most of the COVID-19-positive medical personnel were working in hospital nonemergency wards during screening (43%, 95% CI 28, 59). Anosmia, fever, and myalgia were the only symptoms associated with HCW SARS-CoV-2 positivity. Among HCWs positive for COVID-19 by reverse transcription-polymerase chain reaction, 40% (95% CI 17, 65) were asymptomatic at time of diagnosis. Finally, severe clinical complications developed in 5% (95% CI 3, 8) of the COVID-19-positive HCWs, and 0.5% (95% CI 0.02, 1.3) died. Health-care workers suffer a significant burden from COVID-19, with those working in hospital nonemergency wards and nurses being the most commonly infected personnel.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Am J Epidemiol Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Am J Epidemiol Year: 2021 Document Type: Article