Smarr, Benjamin L.; Aschbacher, Kirstin; Fisher, Sarah M.; Chowdhary, Anoushka; Dilchert, Stephan; Puldon, Karena; Rao, Adam; Hecht, Frederick M.; Mason, Ashley E. (2020). Data from: Feasibility of continuous fever monitoring using wearable devices. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0ZW1JFX

Sixty-five continuous days of data at one-minute resolution covering fifty individuals reporting COVID-19 infections starting on day 45 in the data set. Heart rate, heart rate variability, respiratory rate, and skin temperature are included, as generated by the second generation Oura ring. No PII included. Duration of symptoms, and presence of fever in symptoms included.

This code and data are those used to generate figures and statistics used in the publication "Feasibility of continuous fever monitoring using wearable devices."

• 2020-03 to 2020-06

• 2020

• Chowdhary, Anoushka
• Fisher, Sarah M.

• Mason, Ashley E.

• Smarr, Benjamin L.

• Smarr, Benjamin L.

• Hecht, Frederick M.
• Puldon, Karena
• Rao, Adam

• Aschbacher, Kirstin
• Smarr, Benjamin L.

• Chowdhary, Anoushka
• Dilchert, Stephan
• Fisher, Sarah M.

• Dilchert, Stephan

Code written for Matlab 2019b; data generated on second generation Oura rings made by Oura Health Oy, 2020.

Oura Health Oy provided 1,400 Oura ring devices and financial support for this research. Specifically, funds were provided for the purpose of paying research staff at UCSF. One employee of Oura (KA) who is also a UCSF faculty member, participated in data analysis and preparation of this paper. However, Oura Health Oy did not otherwise participate in planning the study design; in the analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication. In addition, the researchers were otherwise from Oura Health Oy and all authors, external and internal, had full access to all of the data (including statistical reports and tables) in the study and can take responsibility for the integrity of the data and the accuracy of the data analysis. This work had no additional outside funding.

• Biological time series analysis
• COVID-19 (Disease)
• Fever
• Illness tracking
• Participatory research
• Predictive analytics
• Public health
• Remote monitoring
• Sickness detection
• Signal processing
• Wearable sensor devices
• Wearables

• data
• software
• text

• English

Doi: https://doi.org/10.6075/J0ZW1JFX

Primary associated publication

• Smarr, B.L., Aschbacher, K., Fisher, S.M. et al. Feasibility of continuous fever monitoring using wearable devices. Sci Rep 10, 21640 (2020). https://doi.org/10.1038/s41598-020-78355-6

Creative Commons Attribution 4.0 International Public License

• UC Regents

Under copyright (US)

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2022-11-28