Smartphone-based assessment of long COVID symptomatology and risk factors medrxivpreprint KingsCollegeLon COVID19 longcovid coronavirus covid symptoms smartphone
By Pooja Toshniwal PahariaSep 29 2022Reviewed by Danielle Ellis, B.Sc. In a recent study posted to the medRxiv* preprint server, researchers quantified the features and risk factors of post-acute coronavirus disease 2019 syndrome or long COVID based on the integration of survey data and passive [mobile health wearable device] data.
About the study In the present study, researchers performed a mHealth analysis to assess LCOVID prevalence and symptomatology and identify risk factors incorporating active data and passive data. RHR values were persistently greater in the Lsymp cohort. In addition, the increases and decreases in the HR pattern observed in during acute COVID-19 were more prominent among the Lsymp group participants. Of interest, the Lsymp group of individuals had higher step counts with differences in the rate of reduction in steps close to the date of COVID-19 diagnosis, whereas the recovery of steps was found to be more similar.
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