13
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence in healthcare personnel in northern California early in the coronavirus disease 2019 (COVID-19) pandemic

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective:

          We assessed the magnitude of unidentified coronavirus disease 2019 (COVID-19) in our healthcare personnel (HCP) early in the COVID-19 pandemic, and we evaluated risk factors for infection to identify areas for improvement in infection control practice in a northern California academic medical center.

          Methods:

          We reviewed anti–severe acute respiratory coronavirus virus 2 (SARS-CoV-2) receptor-binding domain (RBD) IgG serologic test results and self-reported risk factors for seropositivity among 10,449 asymptomatic HCP who underwent voluntary serology testing between April 20 and May 20, 2020.

          Results:

          In total, 136 employees (1.3%) tested positive for SARS-CoV-2 IgG. This included 41 individuals (30.1%) who had previously tested positive for SARS-CoV-2 by nasopharyngeal reverse-transcription polymerase chain reaction (RT-PCR) between March 13 and April 16, 2020. In multivariable analysis, employees of Hispanic ethnicity (odds ratio [OR], 2.01; 95% confidence interval [CI], 1.22–3.46) and those working in environmental services, food services, or patient transport (OR, 4.81; 95% CI, 2.08–10.30) were at increased risk for seropositivity compared to other groups. Employees reporting a household contact with COVID-19 were also at higher risk for seropositivity (OR, 3.25; 95% CI, 1.47–6.44), but those with a work, exposure alone were not (OR, 1.27; 95% CI, 0.58–2.47). Importantly, one-third of seropositive individuals reported no prior symptoms, no suspected exposures, and no prior positive RT-PCR test.

          Conclusion:

          In this study, SARS-CoV-2 seropositivity among HCP early in the northern California epidemic appeared to be quite low and was more likely attributable to community rather than occupational exposure.

          Related collections

          Most cited references13

          • Record: found
          • Abstract: found
          • Article: found

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

          In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

            Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
                Bookmark

                Author and article information

                Journal
                Infect Control Hosp Epidemiol
                Infect Control Hosp Epidemiol
                ICE
                Infection Control and Hospital Epidemiology
                Cambridge University Press (New York, USA )
                0899-823X
                1559-6834
                09 December 2020
                : 1-7
                Affiliations
                [1 ]Division of Infectious Diseases & Geographic Medicine, Department of Medicine, Stanford University School of Medicine , Stanford, California
                [2 ]Department of Epidemiology and Population Health, Stanford University School of Medicine , Stanford, California
                [3 ]Department of Pathology, Stanford University School of Medicine , Stanford, California
                [4 ] Stanford Health Care , Stanford, California
                [5 ]Department of Emergency Medicine, Stanford University School of Medicine , Stanford, California
                [6 ]Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine , Stanford, California
                Author notes
                Author for correspondence: Joelle Rosser, E-mail: jrosser@ 123456stanford.edu
                Author information
                https://orcid.org/0000-0001-7803-9333
                Article
                S0899823X20013586
                10.1017/ice.2020.1358
                7783083
                33292895
                5e89f3d9-e08b-4f43-a20e-73bd7163ac5e
                © The Society for Healthcare Epidemiology of America 2020

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 September 2020
                : 19 November 2020
                : 01 December 2020
                Page count
                Tables: 4, References: 20, Pages: 7
                Categories
                Original Article

                Comments

                Comment on this article