Ability of emergency medicine clinicians to predict COVID-19 in their patients
Am J Emerg Med
.
2022 Jun:56:329-331.
doi: 10.1016/j.ajem.2021.09.001.
Epub 2021 Sep 3.
Authors
Johnathan M Sheele
1
,
Albertha V Lalljie
2
,
Sheena Fletcher
3
,
Michael Heckman
4
,
Alex Hochwald
5
,
Leslie V Simon
4
Affiliations
1
Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America. Electronic address: sheele.johnathan@mayo.edu.
2
Department of Research Trainee, Mayo Clinic, Jacksonville, FL, United States of America.
3
Mayo Clinic Alix School of Medicine, Mayo Clinic, Jacksonville, FL, United States of America.
4
Division of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL, United States of America.
5
Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America.
PMID:
34509327
PMCID:
PMC8414838
DOI:
10.1016/j.ajem.2021.09.001
No abstract available
Publication types
Letter
MeSH terms
COVID-19*
Emergency Medicine*
Emergency Service, Hospital
Humans
SARS-CoV-2