Christopher M. Baker

This paper introduces a real-time forecasting framework for livestock disease outbreaks, showing improved accuracy after the outbreak peak and consistent spatial forecast skill.

The paper describes a spatiotemporal mechanistic model for forecasting HPAI H5N1 and evaluates its performance in simulating outbreak dynamics and response readiness in Australia.

This paper estimates the potential carbon sequestration loss in Australia due to myrtle rust, finding a 1.6% annual reduction and $340 million AUD yearly value loss if the disease spreads widely.

This study models how testing and elimination strategies affect varroa mite spread among honeybee hives, finding that testing limitations and irregular schedules impact eradication success.

EEMtoolbox is an R package that enables flexible ensemble ecosystem modeling using either accept-reject or sequential Monte Carlo methods, supporting multiple model structures for conservation applications.

This paper introduces a simple population dynamics model that can handle both beneficial and harmful interactions, demonstrating its applicability in data-poor ecological scenarios.

The paper develops a theoretical framework for understanding bacterial persistence as a hedging strategy by integrating optimal control theory from finance and mathematical biology.

This paper applies optimal control theory to design combination therapies for acute myeloid leukaemia by analyzing control dynamics and pay-off functions.