Data integration
Birch trees in Scandinavia
Studying infection dynamics requires robust estimates of infection parameters, such as pathogen replication rate and incidence, which are difficult to obtain. As a consequence, many studies only report ‘snapshot parameters’ like viral load and prevalence, which are easier to obtain, but difficult to interpret. I use mathematical modeling to develop innovative approaches for estimating infection parameters. My objectives are (1) to move away from snapshot parameters in favor of robust quantification of infection dynamics, and (2) to design optimized laboratory and field study protocols to estimate those parameters while accounting for imperfect sensitivity and specificity of diagnostic tests.
Main Collaborators
- Benny Borremans, BB Research, USA
- Jamie Lloyd-Smith, University of California Los Angeles, USA
- Dylan Morris, University of California Los Angeles, USA
- Thierry Boulinier, National Center for Scientific Research, France
- Olivier Gimenez, National Center for Scientific Research, France
Main Funders
