
Tracking the Spread of Vaccine Hesitancy - with Prof Stacey Smith?
From The Random Sample by MACSYS
May 11, 2026 · 42 min · Season 11 · Episode 125
About this episode
The episode discusses how mathematical modeling can help understand vaccine hesitancy and the social dynamics behind it.
Mathematics is often used to model how diseases spread. But what about the spread of information – or misinformation – about those diseases and their vaccines? Professor Stacey Smith? from the University of Ottawa is a trans mathematician whose research focuses on modelling infectious diseases. Increasingly, her work has turned to the social and behavioural dynamics that shape anti‑vaccination sentiment. In this conversation, we explore how mathematical approaches can help make sense of attitudes ranging from vaccine hesitancy to outright resistance, and why understanding these dynamics is critical for effective public health responses. The episode is hosted by Eva Stadler , a postdoctoral research fellow in the Infection Analytics Program at the Kirby Institute at UNSW Sydney. Together, Eva and Stacey discuss how tools from the mathematical sciences can be applied well beyond traditional epidemiology, intersecting with psychology, sociology, and communication science. This episode is part of a special two‑part series released to coincide with Women in Mathematics Day (12 May) , celebrating the contributions of women – and those who…
People in this episode
Host: Eva Stadler
Guest: Prof Stacey Smith
Topics covered
- vaccine hesitancy
- mathematical modeling
- public health
- social dynamics
- women in mathematics
Keywords
- vaccine
- hesitancy
- mathematics
- public health
- misinformation
- infectious diseases
- psychology
- sociology
- communication science
Mentioned in this episode
Organizations: University of Ottawa, Kirby Institute
Places: UNSW Sydney
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