The DOI matches its Crossref record.
Elective surgery in the time of COVID-19
Open accessAbstract
Highlights • The COVID-19 pandemic has placed a significant strain on the United States health care system.• Healthcare workers are rapidly altering their professional responsibilities to help meet hospital needs.• Surgeons have witnessed a dramatic change in their practices with rapidly decreasing elective surgery.• Surgical leaders should develop a framework to help make decisions around elective surgery as information is evolving.
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Cited by
Impact of COVID-19 on global HCV elimination efforts
Blach, S., Kondili, L. A., Aghemo, A., Cai, Z., Dugan, E., Estes, C., Gamkrelidze, I., Ma, S., Pawlotsky, J.-M., Razavi-Shearer, D., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2020.07.042 · Cited by 268
Rapid implementation of a COVID-19 remote patient monitoring program
Annis, T., Pleasants, S., Hultman, G., Lindemann, E., Thompson, J. A., Billecke, S., Badlani, S., & Melton, G. B. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa097 · Cited by 252
Metadata
- Authors
- Diaz, A., Sarac, B. A., Schoenbrunner, A. R., Janis, J. E., & Pawlik, T. M.
- Venue
- The American Journal of Surgery
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 219
- Issue
- 6
- Pages
- 900-902
- ISSN
- 0002-9610 (ISSN-L)
- OpenAlex
- W3016794338
- Cited by
- 307
- References
- 0
- FWCI
- 20.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Elective surgery in the time of COVID-19. https://app.cochat.ai/papers/10.1016/j.amjsurg.2020.04.014
- The paper
- Diaz, A., Sarac, B. A., Schoenbrunner, A. R., Janis, J. E., & Pawlik, T. M. (2020). Elective surgery in the time of COVID-19. The American Journal of Surgery. https://doi.org/10.1016/j.amjsurg.2020.04.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
