Observational study on Post COVID-19 condition using smart phones

An observational study on post-illness symptoms (Post COVID-19 condition) of novel coronavirus infection (COVID-19) using smart phones

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1050220035

Enrollment

30000

Registered

2022-05-27

Start date

2022-07-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID-19

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Persons affected by COVID-19 2) Those who have read and fully understood the consent document for participation in this study and have agreed to be a subject of the study of their own will.

Exclusion criteria

Exclusion criteria: 1) Those who do not agree to participate in this study 2) Those who have memory impairment such as dementia and are unable to complete the questionnaire.

Design outcomes

Primary

Measure	Time frame
Descriptive statistics of the presence or absence of spontaneous symptoms after COVID-19 infection and their description	—

Secondary

Measure	Time frame
1) Correlation between symptom prolongation after COVID-19 infection and the number of vaccinations 2) Correlation between symptom duration after COVID-19 infection and severity of acute phase and treatment 3) Correlation between symptom duration after COVID-19 infection and age and underlying disease 4) Creation of undirected graphs based on partial correlation coefficients of each variable using Markov probability fields 5) Difference in response rate due to different push notification methods for data acquisition by the application	—

Measure

Time frame

1) Correlation between symptom prolongation after COVID-19 infection and the number of vaccinations 2) Correlation between symptom duration after COVID-19 infection and severity of acute phase and treatment 3) Correlation between symptom duration after COVID-19 infection and age and underlying disease 4) Creation of undirected graphs based on partial correlation coefficients of each variable using Markov probability fields 5) Difference in response rate due to different push notification methods for data acquisition by the application

—

Contacts

Public ContactASANO Kento

Osaka University Hospital

k-asano@dmi.med.osaka-u.ac.jp+81-6-6210-8290

Outcome results