Table Info

Table 1.

Patient characteristics in the Cambridge COVID-19 Sound database

Attribute	Variable	Value	Count	Percentage
Demographics	Gender	Female	385	43.1%
		Male	503	56.3%
		Other	5	0.6%
	Age	Max age	90
		Min age	9.5
		Avg age	46
Hospitalized		Yes	13	1.5%
Hospitalized		No	880	98.5%
COVID-19 test result		Negative	585	65.5%
COVID-19 test result		Positive	308	34.5%
Recorded time delay		Positive (recorded in 2 weeks after COVID test)	141	45.8%
Recorded time delay		Positive (recorded over 2 weeks after COVID test)	167	54.2%

Supplementary materials

The supplementary material for this article is available at: https://www.explorationpub.com/uploads/Article/file/101122_sup_1.pdf.

Declaration

Acknowledgments

The authors would like to thank Cambridge University for sharing the data collected via the COVID-19 app, and the Indian Institute of Science Bangalore for opening the Coswara dataset which supported our model validation.

Author contributions

YY: Methodology, Software, Formal analysis, Writing—original draft, Investigation. WA: Conceptualization, Methodology, Software, Writing—original draft. SOS: Supervision, Writing—review & editing. VU: Methodology, Supervision, Writing—review & editing.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Ethical approval

This study was approved by the Ethical Review Committee Inner City Faculties (ERCIC), the reference number is ERCIC_528_31_01_2024.

Consent to participate

Informed consent was obtained by the data sources for the study.

Consent to publication

Not applicable.

Availability of data and materials

The Cambridge dataset is accessed by a Data-Sharing Agreement with Cambridge University. The Coswara dataset is public, and can be accessed online: https://github.com/iiscleap/Coswara-Data.

Funding

The work was supported by NWO Aspasia grant [91716421]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright

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