
Explore the impact of COVID-19 control measures in Canada through retrospective modeling analysis, examining transmission patterns and effectiveness of interventions.

Explore innovative approaches to HIV transmission modeling, focusing on the force of infection equation and its implications for public health strategies and interventions.

Explore mathematical modeling techniques for regional disease elimination strategies, focusing on public health applications and policy support.

Explore logarithms' relevance in modern life, from pandemic modeling to information theory and social networks. Discover their history and applications in this insightful lecture by Professor Oliver Johnson.

Explore how climate change affects disease vectors, their ecology, and transmission dynamics. Gain insights into vector-borne diseases and their potential future impacts on ecosystems and public health.

Exploring causal inference methods in epidemiology and their impact on scientific understanding, challenging traditional views on correlation vs. causation in data analysis.

Explore graph-based models for analyzing infectious diseases, from deterministic compartmental models to agent-based simulations in modern epidemiology.

Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.