Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus 2

Cheng, Matthew P.; Papenburg, Jesse; Desjardins, Michaël; Kanjilal, Sanjat; Quach, Caroline; Libman, Michael; Dittrich, Sabine; Yansouni, Cédric P.

doi:10.7326/m20-1301

Cited by 607 publications

(745 citation statements)

References 49 publications

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“…First, there is clear underreporting of infection in this critical population as CDC data indicate that 84% of all reported U.S. COVID cases had no information on HCW status 9 . Second, among both HCW and non-HCW (NHCW), access to testing has been inconsistent in the U.S., and a large proportion of cases that are asymptomatic or have only mild symptoms are likely to have gone untested 10,11 . Importantly, asymptomatic or mildly symptomatic individuals can still transmit the virus and may represent the population most likely to spread the infection [12][13][14] .…”

Section: Introductionmentioning

confidence: 99%

Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers at the onset of the U.S. COVID-19 epidemic

Barrett

Horton

Roy

et al. 2020

Preprint

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Findings:The prevalence of SARS-CoV-2 infection was 7.3% in healthcare workers and 0.4% in nonhealthcare workers, representing 7.0% greater absolute risk in the former (95% confidence interval for risk difference 4.7%, 9.3%). Infections were most common among nursing staff.Meaning: Health care workers, particularly those with high levels of close patient contact, may be particularly vulnerable to SARS-CoV-2 infection. Additional strategies are needed to protect these critical frontline workers. Abstract:Importance: Healthcare workers are presumed to be at increased risk of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection due to occupational exposure to infected patients. However, no epidemiological study has examined the prevalence of SARS-CoV-2 infection in a cohort of healthcare workers during the early phase of community transmission. Objective:To determine the baseline prevalence of SARS-CoV-2 infection in a cohort of previously undiagnosed healthcare workers and a comparison group of non-healthcare workers. Design: Prospective cohort studySetting: A large U.S. university and two affiliated university hospitals Participants: 546 health care workers and 283 non-health care workers with no known prior SARS-CoV-2 infection Exposure: Healthcare worker status and role Main outcome(s) and measure(s): SARS-CoV-2 infection status as determined by presence of SARS-CoV-2 RNA in oropharyngeal swabs.

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Section: Introductionmentioning

confidence: 99%

Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers at the onset of the U.S. COVID-19 epidemic

Barrett

Horton

Roy

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Research efforts are underway to identify vaccines [1], improve testing [2,3], understand transmission [4], develop serologic tests [5], develop therapies [6], predict risk [7], and develop mitigation and prevention strategies [8,9]. Biomedical informatics is central to each of these research efforts and for the delivery of healthcare for COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

Ideas for how informaticians can get involved with COVID-19 research

et al. 2020

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The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Biomedical informatics is central to COVID-19 research efforts and for the delivery of healthcare for COVID-19 patients. Critical to this effort is the participation of informaticians who typically work on other basic science or clinical problems. The goal of this editorial is to highlight some examples of COVID-19 research areas that could benefit from informatics expertise. Each research idea summarizes the COVID-19 application area, followed by an informatics methodology, approach, or technology that could make a contribution. It is our hope that this piece will motivate and make it easy for some informaticians to adopt COVID-19 research projects.

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“…Patients with positive RT-PCR results for SARS-CoV-2 in a nasopharyngeal swab will be considered confirmed cases. 38 rT-PCR will be performed as per the local institution's standard procedures.…”

Section: Study Period Enrolment Allocationmentioning

confidence: 99%

Post-exposure prophylaxis or pre-emptive therapy for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): study protocol for a pragmatic randomized-controlled trial

Lother

Abassi

Agostinis

et al. 2020

Can J Anesth/J Can Anesth

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Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in December 2019 causing the coronavirus disease (COVID-19) pandemic. Currently, there is a lack of evidence-based therapies to prevent COVID-19 following exposure to the virus, or to prevent worsening of symptoms following confirmed infection. We describe the design of a clinical trial of hydroxychloroquine for post-exposure prophylaxis (PEP) and pre-emptive therapy (PET) for COVID-19. Methods We will conduct two nested multicentre international double-blind randomized placebo-controlled clinical trials of hydroxychloroquine for: 1) PEP of asymptomatic household contacts or healthcare workers exposed to COVID-19 within the past four days, and 2) PET for symptomatic outpatients with COVID-19 showing symptoms for less than four days. We will recruit 1,500

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Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus 2

Cited by 607 publications

References 49 publications

Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers at the onset of the U.S. COVID-19 epidemic

Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers at the onset of the U.S. COVID-19 epidemic

Ideas for how informaticians can get involved with COVID-19 research

Post-exposure prophylaxis or pre-emptive therapy for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): study protocol for a pragmatic randomized-controlled trial

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