Vaccines have been a monumental success in public health, preventing an estimated 154 million deaths over the past 50 years, including 146 million children under five. However, vaccine hesitancy remains a significant issue. Researchers like Jonathan Kantor from the University of Pennsylvania and Oxford are developing tools to measure and understand this hesitancy. Kantor’s team created a 13-question survey tested on 1,000 people from the UK and US, which could predict whether someone had received the COVID-19 vaccine. The survey identified three main categories of concern: beliefs, pain, and deliberation. Meanwhile, Nicole Vike at the University of Cincinnati used machine learning to predict vaccine uptake based on people’s reactions to various images. These models aim to help health professionals tailor their approach to vaccine-hesitant individuals. Vaccine hesitancy has led to outbreaks, with 16 measles outbreaks reported in the US in 2024 and a global rise in measles cases by 20% in 2023, resulting in over 107,000 deaths, mostly children.
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