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A social media-based machine learning study to monitor vaccine confidence and hesitancy and early warn emerging vaccine-related risks in real time

A social media-based machine learning study to monitor vaccine confidence and hesitancy and early warn emerging vaccine-related risks in real time - Social Media Monitoring on Vaccine Confidence and Hesitancy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200058995
Enrollment
Unknown
Registered
2022-04-22
Start date
2022-09-01
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

None listed

Interventions

case series:None

Sponsors

Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. All English tweets and Weibo posts about all vaccines or human papillomavirus vaccines from 2015 to date; 2. Posts from personal accounts.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Prevalence of vaccine hesitancy;Prevalence of confidence on importance, effectiveness, and safety of vaccines;—

Secondary

MeasureTime frame
Frequently discussed topics on social media;Social media engagement index;—

Countries

China

Contacts

Public ContactHou Zhiyuan

Fudan University

zyhou@fudan.edu.cn+86 185 2100 6617

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026