Predicting Vaccine Hesitancy Using Machine Learning

Launched by UNIVERSITY OF YALOVA · May 23, 2025

Keywords

ClinConnect Summary

This clinical trial, titled "Predicting Vaccine Hesitancy Using Machine Learning," is focused on understanding why some parents may be hesitant to vaccinate their young children, specifically those aged 0 to 4 years. The study aims to use advanced computer techniques called machine learning to analyze patterns in data that can help predict which parents might refuse vaccinations. By identifying these factors, researchers hope to create strategies that can better encourage vaccination among families who may be at risk of hesitancy.

To participate in this trial, parents must be at least 18 years old, understand Turkish, and be comfortable using technology like smartphones or computers to communicate via social media. They should also have children aged 0 to 4 years who do not have any serious health issues that would prevent them from getting vaccinated. Participants will be helping researchers gain valuable insights into vaccine hesitancy, which could ultimately support public health efforts to ensure more children receive their vaccinations on time.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• Parents who meet the following criteria will be included in the study:
• • Have proficiency in understanding and reading the Turkish language,
• • Are able to use technological devices such as mobile phones or computers to access social media platforms (Participants used social media platforms such as Instagram and WhatsApp to communicate) via the internet,
• • Are 18 years of age or older,
• • Have children aged 0-4 years,
• • Consent to participate in the study,
• • Have children without any absolute contraindications to vaccination.
• Exclusion Criteria:
• • Parents of high-risk infants (such as those with a history of systemic illness, preterm labor, anomalies, etc.),
• • Parents who are unwilling to participate in the study will be excluded.