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PONE-D-22-17123-DATA.2.xlsx (594.17 kB)

Within and between-day variation and associations of symptoms in Long Covid: intensive longitudinal study

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Version 2 2022-11-10, 08:36
Version 1 2022-10-24, 14:50
dataset
posted on 2022-11-10, 08:36 authored by Christopher BurtonChristopher Burton

Comprises data in 3hrly epochs over 14 days from 74 individuals.

Data includes summary measures from wrist accelerometer and raw data from the smartphone app used to collect symptom data.

Survey data contains baseline data from consented participants linked to app data by ID.

History

Ethics

  • The project has ethical approval and the number is included in the description field

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The uploaded data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

Usage metrics

    The University of Sheffield

    Categories

    Keywords

    Long CovidIntensive longitudinal methodsEcological momentary assessment (EMA)activity tracker data

    Licence

    CC BY 4.0

    Exports

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