17 citations · 39 across the 6 of their papers we have counts for
6 papers
Nonlinear bias toward complex contagion in uncertain transmission settings
Guillaume St-Onge, Laurent Hébert-Dufresne, Antoine Allard
Current epidemics in the biological and social domains are challenging the standard assumptions of mathematical contagion models. Chief among them are the complex patterns of trans…
Accurately summarizing an outbreak using epidemiological models takes time
B. K. M. Case, Jean-Gabriel Young, Laurent Hébert-Dufresne
Recent outbreaks of monkeypox and Ebola, and worrying waves of COVID-19, influenza and respiratory syncytial virus, have all led to a sharp increase in the use of epidemiological m…
TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States
David O'Gara, Samuel F. Rosenblatt, Laurent Hébert-Dufresne +3
The Omicron wave was the largest wave of COVID-19 pandemic to date, more than doubling any other in terms of cases and hospitalizations in the United States. In this paper, we pres…
Diverse Misinformation: Impacts of Human Biases on Detection of Deepfakes on Networks
Juniper Lovato, Laurent Hébert-Dufresne, Jonathan St-Onge +5
Social media platforms often assume that users can self-correct against misinformation. However, social media users are not equally susceptible to all misinformation as their biase…
Multidisciplinary learning through collective performance favors decentralization
John Meluso, Laurent Hébert-Dufresne
Many models of learning in teams assume that team members can share solutions or learn concurrently. However, these assumptions break down in multidisciplinary teams where team mem…
Compressing the chronology of a temporal network with graph commutators
Andrea J. Allen, Cristopher Moore, Laurent Hébert-Dufresne
Studies of dynamics on temporal networks often represent the network as a series of "snapshots," static networks active for short durations of time. We argue that successive snapsh…