PPH researchers are interrogating immunity and inflammation, from the molecular all the way to the population level, in order to better understand how these systems are perturbed during infection, environmental exposure, or by the onset of an autoimmune disorder.  Modeling and machine learning methods are being applied in areas in a wide range of areas, including  SARS-Cov2 and flu infection, vaccine development, and post-infection fatigue syndromes.  

Related Publications

A unified theory for predicting pathogen mutual invasibility and co-circulation

Sang Woo Park, Sarah Cobey, C. Jessica E. Metcalf, Jonathan M. Levine, Bryan T. Grenfell

bioRxiv 2024

Eco-evolutionary dynamics of pathogen immune-escape: deriving a population-level phylodynamic curve

Nielsen, B. F., Saad-Roy, C. M., Metcalf, C. J. E., Viboud, C., & Grenfell, B. T.

bioRxiv 2024

Assessing population-level target product profiles of universal human influenza A vaccines.

Yang Q, Park SW, Saad-Roy CM, Ahmad I, Viboud C, Arinaminpathy N, Grenfell BT. 

Epidemics 2024

The ontogeny of immune tolerance: a model of the early-life gut microbiome and adaptive immunity

Burcu Tepekule, Ai Ing Lim, C. Jessica E. Metcalf

bioRxiv 2024

Inferring COVID-19 testing and vaccination behavior from New Jersey testing data.

Freedman AS, Sheen JK, Tsai S, Yao J, Lifshitz E, Adinaro D, Levin SA, Grenfell BT, Metcalf CJE.  

Proc Natl Acad Sci U S A. 2024