AI predicts vaccine refusal in parents of young kids

NCT ID NCT06988969

Completed Knowledge-focused Sponsor: University of Yalova Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jul 15, 2026 · Updated 6 times

Summary

This study aims to understand why some parents of children aged 0-4 years are hesitant about vaccines. Researchers will use machine learning to analyze survey responses from 600 parents in Turkey. The goal is to build a model that can predict vaccine refusal, helping public health officials design better strategies to encourage vaccination.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help health officials predict which parents might refuse vaccines and create targeted campaigns to increase childhood vaccination rates.
What could go wrong: This is an observational study, not a treatment trial. The machine learning model may not accurately predict hesitancy in all populations, and results may not apply outside Turkey.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Vaccination Hesitancy Vaccination Refusal

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHILDREN MACHINE LEARNING VACCINE HESITANCY VACCINE REFUSAL

Contacts and locations

Locations

Yalova University

Yalova, 77200, Turkey (Türkiye)

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