Observational study on health status after vaccination with novel coronavirus vaccine

An observational study on health status after vaccination with novel coronavirus vaccine using smart phones

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1050220004

Enrollment

100000

Registered

2022-04-15

Start date

2022-04-26

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 who have received or will receive the COVID-19 vaccine 2) The applicant must have access to the application via his/her smartphone and must be able to complete the evaluation and electronic questionnaire on the application. 3) Those who have read and fully understood the consent document for participation in this study and have agreed to be a research subject of their own free will.

Exclusion criteria

Exclusion criteria: 1) Persons who do not agree to participate in this study

Design outcomes

Primary

Measure	Time frame
Descriptive statistics on the presence or absence of spontaneous symptoms after vaccination and their description	—

Secondary

Measure	Time frame
1)Correlation between vaccination frequency and infection 2)Correlation between the presence or absence of adverse reactions after vaccination and the next vaccination rate 3)Correlation between the number of vaccinations and the implementation of infection prevention measures 4)Undirected graphs based on partial correlation coefficients of each variable using Markov probability fields 5)Difference in response rates due to different push notification methods for data acquisition by apps	—

Measure

Time frame

1)Correlation between vaccination frequency and infection 2)Correlation between the presence or absence of adverse reactions after vaccination and the next vaccination rate 3)Correlation between the number of vaccinations and the implementation of infection prevention measures 4)Undirected graphs based on partial correlation coefficients of each variable using Markov probability fields 5)Difference in response rates due to different push notification methods for data acquisition by apps

—

Contacts

Public ContactKento ASANO

Osaka University Hospital

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

Outcome results