Core team:

Samuel V. Scarpino

University of Vermont

Department of Mathematics and Statistics, Assistant Professor

Scarpino is a mathematical biologist studying outbreaks as an emergent process and working to improve public health surveillance. His research investigates questions at the intersection of biology, behavior, and disease and his work on surveillance has led to substantive changes in public health practices. Scarpino's highly collaborative research has focused on a broad range of questions outside of disease: from animal movement and group dynamics to the role of genome copy number in evolution.

Most recent papers:

The risk of sustained sexual transmission of Zika is underestimated.

Antoine Allard, Benjamin Althouse, Laurent Hébert-Dufresne, Samuel V. Scarpino. PLoS Pathogens, , 13, 2017.
[pdf] [journal page]

Asymmetric percolation drives a double transition in sexual contact networks.

Antoine Allard, Benjamin Althouse, Samuel V. Scarpino, Laurent Hébert-Dufresne. Proceedings of the National Academy of Sciences of the United States of America, , , 2017.
[pdf] [journal page] [arXiv]

The effect of a prudent adaptive behaviour on disease transmission.

Samuel V. Scarpino, Antoine Allard, Laurent Hébert-Dufresne. Nature Physics, 1042-1046, 12, 2016.
[pdf] [journal page] [arXiv]

Enhancing disease surveillance with novel data streams: challenges and opportunities.

Benjamin Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John Ayers, Laurent Hébert-Dufresne, et al.. EPJ Data Science, 17, 4, 2015.
[pdf] [journal page]

Most recent press: