Biosafety at Home: How to Translate Biomedical Laboratory Safety Precautions for Everyday Use in the Context of COVID-19

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Abstract.

Population adoption of social distancing measures during the COVID-19 pandemic is at times deficient, increasing the risk of SARS-CoV-2 transmission. Healthcare workers and those living in areas of intense transmission may benefit from implementing biosafety measures in their daily lives. A mixed-methods approach, combining components of single negotiation text and the Delphi method, was used to create a COVID-19 biosafety-at-home protocol. A consensus building coordinator liaised with 12 experts to develop the protocol over 11 iterations. Experts had more than 200 years of combined experience in epidemiology, virology, infectious disease prevention, and public health. A flyer, created from the final protocol, was professionally designed and initially distributed via social media and institutional websites/emails in Ecuador beginning on May 2, 2020. Since then, it has been distributed in other countries, reaching ∼7,000 people. Translating research laboratory biosafety measures for the home/street environment might be challenging. The biosafety-at-home flyer addresses this challenge in a user-friendly format.

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Risk Factors of Healthcare Workers with Corona Virus Disease 2019: A Retrospective Cohort Study in a Designated Hospital of Wuhan in China

Li Ran, Xuyu Chen, Ying Wang … (2020)

Abstract Corona Virus Disease 2019 (COVID-19) originated in Wuhan, China has caused many healthcare workers (HCWs) infected. Seventy-two HCWs manifested with acute respiratory illness were retrospectively enrolled to analyze the risk factors. The high-risk department, longer duty hours, and suboptimal hand hygiene after contacting with patients were linked to COVID-19.

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SARS-CoV-2-specific antibody detection in healthcare workers in Germany with direct contact to COVID-19 patients.

Johannes Korth, Benjamin Wilde, Sebastian Dolff … (2020)

The novel coronavirus SARS-CoV-2 is associated with a severe respiratory manifestation, COVID-19, and presents a challenge for healthcare systems worldwide. Healthcare workers are a vulnerable cohort for SARS-CoV-2 infection due to frequent and close contact to patients with COVID-19.

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A Delphi study to build consensus on the definition and use of big data in obesity research

Christina Vogel, Stephen Zwolinsky, Claire Griffiths … (2019)

Background ‘Big data’ has great potential to help address the global health challenge of obesity. However, lack of clarity with regard to the definition of big data and frameworks for effectively using big data in the context of obesity research may be hindering progress. The aim of this study was to establish agreed approaches for the use of big data in obesity-related research. Methods A Delphi method of consensus development was used, comprising three survey rounds. In Round 1, participants were asked to rate agreement/disagreement with 77 statements across seven domains relating to definitions of, and approaches to, using big data in the context of obesity research. Participants were also asked to contribute further ideas in relation to these topics, which were incorporated as new statements (n = 8) in Round 2. In Rounds 2 and 3 participants re-appraised their ratings in view of the group consensus. Results Ninety-six experts active in obesity-related research were invited to participate. Of these, 36/96 completed Round 1 (37.5% response rate), 29/36 completed Round 2 (80.6% response rate) and 26/29 completed Round 3 (89.7% response rate). Consensus (defined as > 70% agreement) was achieved for 90.6% (n = 77) of statements, with 100% consensus achieved for the Definition of Big Data, Data Governance, and Quality and Inference domains. Conclusions Experts agreed that big data was more nuanced than the oft-cited definition of ‘volume, variety and velocity’, and includes quantitative, qualitative, observational or intervention data from a range of sources that have been collected for research or other purposes. Experts repeatedly called for third party action, for example to develop frameworks for reporting and ethics, to clarify data governance requirements, to support training and skill development and to facilitate sharing of big data. Further advocacy will be required to encourage organisations to adopt these roles.

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Author and article information

Journal

Journal ID (nlm-ta): Am J Trop Med Hyg

Journal ID (iso-abbrev): Am. J. Trop. Med. Hyg

Journal ID (publisher-id): tpmd

Journal ID (hwp): tropmed

Title: The American Journal of Tropical Medicine and Hygiene

Publisher: The American Society of Tropical Medicine and Hygiene

ISSN (Print): 0002-9637

ISSN (Electronic): 1476-1645

Publication date (Print): August 2020

Publication date (Electronic): 26 June 2020

Publication date PMC-release: 26 June 2020

Volume: 103

Issue: 2

Pages: 838-840

Affiliations

[1 ]College of Public Health, University of South Florida, Tampa, Florida;

[2 ]Department of Biomedical Sciences, Infectious and Tropical Disease Institute, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio;

[3 ]Center for Research on Health in Latin America (CISeAL), Facultad de Ciencias Exactas y Naturales, Pontificia Universidad Católica del Ecuador, Quito, Ecuador;

[4 ]VectorID LLC, Frederick, Maryland;

[5 ]School of Public Health, Universidad San Francisco de Quito, Quito, Ecuador;

[6 ]Medical Entomology and Tropical Medicine Laboratory LEMMT, School of Biological and Environmental Sciences, Universidad San Francisco de Quito, Quito, Ecuador;

[7 ]Florida Medical Entomology Laboratory, University of Florida, Vero Beach, Florida;

[8 ]College of Public Health and Health Professions, University of Florida, Gainesville, Florida;

[9 ]College of Medicine, University of Florida, Gainesville, Florida;

[10 ]Hospital Metropolitano de Quito, Quito, Ecuador;

[11 ]SUNY Upstate Medical University, Syracuse, New York

Author notes

[* ]Address correspondence to Renato Leon, Medical Entomology and Tropical Medicine Laboratory LEMMT, School of Biological and Environmental Sciences, Universidad San Francisco de Quito, Diego de Robles and Pampite S/N, Cumbaya, Quito 170901, Ecuador. E-mail: rleon@ 123456usfq.edu.ec

Authors’ addresses: Miguel Reina Ortiz, College of Public Health, University of South Florida, Tampa, FL, E-mail: miguelreina@ 123456usf.edu . Mario J. Grijalva, Department of Biomedical Sciences, Infectious and Tropical Disease Institute, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH and Center for Research on Health in Latin America (CISeAL), Facultad de Ciencias Exactas y Naturales, Pontificia Universidad Católica del Ecuador, Quito, Ecuador, E-mail: grijalva@ 123456ohio.edu . Michael J. Turell, VectorID LLC, Frederick, MD, E-mail: mturell@ 123456erols.com . William F. Waters, School of Public Health, Universidad San Francisco de Quito, Quito, Ecuador, E-mail: wwaters@ 123456usfq.edu.ec . Andres Carrazco Montalvo and Renato Leon, Medical Entomology and Tropical Medicine Laboratory LEMMT, Universidad San Francisco de Quito, Quito, Ecuador, E-mails: andres.carrazco@ 123456hotmail.com and rleon@ 123456usfq.edu.ec . Derrick Mathias, Florida Medical Entomology Laboratory, University of Florida, Vero Beach, FL, E-mail: d.mathias@ 123456ufl.edu . Vinita Sharma, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, E-mail: vinita.sharma@ 123456ufl.edu . Christian Fierro Renoy, Hospital Metropolitano de Quito, Quito, Ecuador, E-mail: cfierro1967@ 123456gmail.com . Paul Suits and Stephen J. Thomas, SUNY Upstate Medical University, Syracuse, NY, E-mails: suitsp@ 123456upstate.edu and thomstep@ 123456upstate.edu .

Article

Publisher ID: tpmd200677

DOI: 10.4269/ajtmh.20-0677

PMC ID: 7410461

PubMed ID: 32597388

SO-VID: f8a864bb-08fa-4b2a-8d19-da27caafa9a9

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This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Date received : 15 June 2020

Date accepted : 19 June 2020

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Biosafety at Home: How to Translate Biomedical Laboratory Safety Precautions for Everyday Use in the Context of COVID-19

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Most cited references 11

Risk Factors of Healthcare Workers with Corona Virus Disease 2019: A Retrospective Cohort Study in a Designated Hospital of Wuhan in China

SARS-CoV-2-specific antibody detection in healthcare workers in Germany with direct contact to COVID-19 patients.

A Delphi study to build consensus on the definition and use of big data in obesity research

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