Published on 22.2.2021 in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26107, first published November 27, 2020.

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Robert P Hirten^{1, 2}

; Matteo Danieletto^{2, 3}

; Lewis Tomalin⁴

; Katie Hyewon Choi⁴

; Micol Zweig^{2, 3}

; Eddye Golden^{2, 3}

; Sparshdeep Kaur²

; Drew Helmus¹

; Anthony Biello¹

; Renata Pyzik⁵

; Alexander Charney^{3, 6, 7}

; Riccardo Miotto^{2, 3}

; Benjamin S Glicksberg^{2, 3}

; Matthew Levin⁸

; Ismail Nabeel⁹

; Judith Aberg¹⁰

; David Reich⁸

; Dennis Charney^{11, 12}

; Erwin P Bottinger²

; Laurie Keefer^{1, 6}

; Mayte Suarez-Farinas^{3, 4}

; Girish N Nadkarni^{2, 13, 14}

; Zahi A Fayad^{5, 15}

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