Cargando…
Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna
BACKGROUND: Most clinical studies report the symptoms experienced by those infected with coronavirus disease 2019 (COVID-19) via patients already hospitalized. Here we analyzed the symptoms experienced outside of a hospital setting. METHODS: The Vienna Social Fund (FSW; Vienna, Austria), the Public...
Autores principales: | Munsch, Nicolas, Gruarin, Stefanie, Nateqi, Jama, Lutz, Thomas, Binder, Michael, Aberle, Judith H., Martin, Alistair, Knapp, Bernhard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007045/ https://www.ncbi.nlm.nih.gov/pubmed/35416543 http://dx.doi.org/10.1007/s00508-022-02028-9 |
Ejemplares similares
-
Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study
por: Munsch, Nicolas, et al.
Publicado: (2020) -
Authors’ Reply to: Screening Tools: Their Intended Audiences and Purposes. Comment on “Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study”
por: Munsch, Nicolas, et al.
Publicado: (2021) -
An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot
por: Martin, Alistair, et al.
Publicado: (2020) -
Correlating global trends in COVID-19 cases with online symptom checker self-assessments
por: Zobel, Marc, et al.
Publicado: (2023) -
An artificial intelligence-based approach for identifying rare disease patients using retrospective electronic health records applied for Pompe disease
por: Lin, Simon, et al.
Publicado: (2023)