AI predicts which parents might skip vaccines for kids
NCT ID NCT06988969
First seen Oct 31, 2025 · Last updated Jun 23, 2026 · Updated 35 times
Summary
This study surveys 600 parents of children aged 0-4 years in Turkey to find out what drives vaccine hesitancy. Researchers will use machine learning to analyze factors like beliefs about vaccine benefits and risks. The goal is to create a tool that can predict hesitancy and help public health officials design better outreach programs.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Yalova University
Yalova, 77200, Turkey (Türkiye)
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.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.