The COVID-19 pandemic and research shutdown: staying safe and productive
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The coronavirus disease 2019 pandemic, caused by SARS-CoV-2, has caused severe disease outcomes and widespread infections not seen in terms of its case fatality rate and global economic impact since the 1918 to 1919 Spanish flu, with the latter leading to 675,000 deaths in the United States (US) (50 million worldwide) (1).The US currently has the largest number of SARS-CoV-2 infections in the world, with tremendous health, economic, and social ramifications, including closing of schools, businesses, and all public gatherings in order to maximize social distancing and prevent virus spread.Here, we address the major impact of the COVID-19 pandemic on biomedical research, the challenges created by the COVID-19 pandemic for research-intensive institutions (Figure 1A), and what investigators can do to maintain some level of research activity while keeping their coworkers and trainees safe and engaged (Figure 1B).
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- Authors
- Omary, M. B., Eswaraka, J., Kimball, S. D., Moghe, P. V., Panettieri, R. A., & Scotto, K. W.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Omary, M. Bishr
- Venue
- Journal of Clinical Investigation
- Published
- 2020-04-27
- Volume
- 130
- Issue
- 6
- Pages
- 2745-2748
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- PMC
- PMC7260012
- OpenAlex
- W3014562315
- Semantic Scholar
- d586038a1e8d5117d8cece8e26ff390819870721
- Cited by
- 169
- References
- 2
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 16 · 2023: 18 · 2022: 39 · 2021: 50 · 2020: 33 · 2019: 1
- FWCI
- 34.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Environmental Health Sciences (P30ES005022)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Social Sciences › Education › Education during COVID-19 pandemic
- Keywords
- COVID-19 pandemic, SARS-CoV-2, biomedical research, research productivity, laboratory safety, research-intensive institutions, social distancing
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Animals, Humans, Pneumonia, Viral, United States, Occupational Health, Efficiency, Organizational, Coronavirus Infections, Models, Animal, Biomedical Research, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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