Prediction of vaccine hesitancy based on social media traffic among Israeli parents using machine learning strategies.

ABSTRACT:

Introduction

Vaccines have contributed to substantial reductions of morbidity and mortality from vaccine-preventable diseases, mainly in children. However, vaccine hesitancy was listed by the World Health Organization (WHO) in 2019 as one of the top ten threats to world health.

Aim

To employ machine-learning strategies to assess how on-line content regarding vaccination affects vaccine hesitancy.

Methods

We collected social media posts and responses from vaccination discussion groups and forums on leading social platforms, including Facebook and Tapuz (A user content website that contains blogs and forums). We investigated 65,603 records of children aged 0-6 years who are insured in Maccabi's Health Maintenance Organization (HMO). We applied three machine learning alg

SUBMITTER: Bar-Lev S 

PROVIDER: S-EPMC8381350 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature