Predicting Vaccine Hesitancy Using Machine Learning

University of Yalova

Status: Active, not recruiting

Conditions: Vaccine Refusal; Machine Learning; Vaccine Hesitancy; Children

Study type: Observational

Funder types: Other

Identifiers

NCT06988969

Emel Avcin MLT

Details and patient eligibility

About

In recent years, emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Virtual Reality (VR) have rapidly become integrated into daily life. The widespread use of these applications has led to the accumulation of vast amounts of data, giving rise to what is commonly referred to as "Big Data." Due to the sheer volume, manual processing and analysis of these large datasets are not feasible. Therefore, software tools and libraries-such as Python and R libraries-have been developed to perform these analyses efficiently and to generate predictions for the future by leveraging historical data through Machine Learning (ML) algorithms.

The primary goal of machine learning algorithms is to discover patterns within existing data and use these patterns to make accurate predictions on new data. The use of machine learning in the field of healthcare has gained significant momentum in recent years. However, a review of the literature reveals that research specifically addressing childhood vaccine hesitancy remains limited.

This study aims to identify the factors contributing to vaccine hesitancy among parents of children aged 0-48 months and to develop a predictive model using machine learning techniques based on these factors. Such a model could help anticipate the likelihood of vaccine refusal among parents and thereby support the development of targeted public health strategies for at-risk populations.

Enrollment: 600 estimated patients

Sex: All

Ages: 18 to 65 years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

600 participants in 1 patient group

Parents of children aged 0-48 months

Description:

Parents who meet the following criteria will be included in the study: those who have proficiency in understanding and reading the Turkish language; are 18 years of age or older; have children aged 0-4 years; 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; consent to participate in the study; and whose children do not have any absolute contraindications for vaccination.