The Koelle lab
focuses on using
mathematical and statistical approaches to further
our understanding of infectious diseases.
Specifically, we are
interested in understanding:
- how climate variability and other
extrinsic factors, such as
vaccination and vector reduction, influence disease dynamics;
- how immune escape affects disease dynamics, and how we can
detect the occurrence of immune escape;
- how genotype-phenotype relationships
and molecular constraints influence the evolutionary and ecological
dynamics of RNA viruses, such as influenza, dengue, and HIV;
- how space influences the ecological and evolutionary
dynamics of infectious diseases.
We develop mathematical models that can
be confronted with
empirical data. Because the lab's main focus is on rapidly
evolving RNA viruses, we work with both epidemiological time series
data and viral sequence data. If interested,
please see the
Publications
page for more.