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Author Correction: Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study
Annotation   Open access   Peer reviewed

Author Correction: Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

Ashley E Mason, Frederick M Hecht, Shakti K Davis, Joseph L Natale, Wendy Hartogensis, Natalie Damaso, Kajal T Claypool, Stephan Dilchert, Subhasis Dasgupta, Shweta Purawat, …
Scientific reports, v 12(1), pp 4568-4568
16 Mar 2022
PMID: 35296773
url
https://doi.org/10.1038/s41598-022-08723-xView
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Correction to: Scientific Reports https://doi.org/10.1038/s41598-022-07314-0, published online 02 March 2022 The original version of this Article contained errors in the Funding section. “The USAMRDC under the Department of Defense (DOD) provided financial support for this work. This effort was funded under MTEC solicitation MTEC-20-12-Diagnostics-023 and is funded by the USAMRDC under the Department of Defense. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government. The #StartSmall foundation provided financial support for this work. The US Department of Defense Air Force Office of Scientific Research, through the Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL), provided financial support for this work. Oura Health Oy provided 1400 pieces of hardware and financial support in the form of a sponsored research contract.”

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