When the COVID-19 pandemic began, epidemiology suddenly became visible to the public in a way it rarely had before.
Daily dashboards, transmission models, genomic surveillance, and policy analysis became part of global news.
Many of the scientists shaping these tools were women working at the forefront of modern epidemiology.
Data and pandemic modeling
Caroline Buckee, a professor at Harvard, became one of the most visible experts explaining how mobility data and digital tools can help track disease spread.
Her research focuses on how human movement patterns influence epidemics — information that became essential during COVID-19 lockdowns and travel restrictions.
Genomic epidemiology
Another influential scientist is Tulio de Oliveira — wait correction (male). Let’s use Emma Hodcroft.
Emma Hodcroft helped develop the Nextstrain system used to track viral evolution. During the pandemic she helped identify and communicate information about emerging variants.
Genomic epidemiology has now become one of the most important tools for tracking infectious diseases.
Public health policy and evidence communication
Deepti Gurdasani became widely known for her work analyzing COVID-19 transmission risks and communicating evidence-based recommendations to policymakers and the public.
Her work illustrates another increasingly important role for epidemiologists: science communication.
The changing landscape of epidemiology
Modern epidemiology is expanding rapidly into new fields:
- digital health data
- genomic surveillance
- real-time epidemic modeling
- global health policy analysis
The COVID-19 pandemic highlighted something important:
Epidemiology is not only about studying past outbreaks.
It is about understanding systems quickly enough to guide decisions while events are still unfolding.
And many of the scientists building those systems today are women working at the intersection of data science, medicine, and public health.