Hirten, R. P., Danieletto, M., Tomalin, L., Choi, K. H., Zweig, M., Golden, E., . . . Fayad, Z. A. (2021). Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. Journal of medical Internet research, 23(2), e26107. https://doi.org/10.2196/26107
Chicago Style (17th ed.) CitationHirten, Robert P., et al. "Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study." Journal of Medical Internet Research 23, no. 2 (2021): e26107. https://doi.org/10.2196/26107.
MLA (9th ed.) CitationHirten, Robert P., et al. "Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study." Journal of Medical Internet Research, vol. 23, no. 2, 2021, p. e26107, https://doi.org/10.2196/26107.