no code implementations • 16 Nov 2021 • Laurent Hébert-Dufresne, Jean-Gabriel Young, Jamie Bedson, Laura A. Skrip, Danielle Pedi, Mohamed F. Jalloh, Bastian Raulier, Olivier Lapointe-Gagné, Amara Jambai, Antoine Allard, Benjamin M. Althouse
We leverage the data collected by the surveillance and contact tracing protocols of the Sierra Leone Ministry of Health and Sanitation, the US Centers for Disease Control and Prevention, and other responding partners to validate a network epidemiology framework connecting the population (incidence), community (local forecasts), and individual (secondary infections) scales of disease transmission.
no code implementations • 25 Sep 2021 • Blake J. M. Williams, C. Brandon Ogbunugafor, Benjamin M. Althouse, Laurent Hébert-Dufresne
We argue that: (i) genotype networks are driven by mutation and host immunity to explore a subspace of networks predictable in structure, and (ii) genotype networks provide an underlying structure necessary to capture the rich dynamics of multistrain epidemic models.
1 code implementation • 27 May 2020 • Benjamin M. Althouse, Edward A. Wenger, Joel C. Miller, Samuel V. Scarpino, Antoine Allard, Laurent Hébert-Dufresne, Hao Hu
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands.
2 code implementations • 10 Feb 2020 • Laurent Hébert-Dufresne, Benjamin M. Althouse, Samuel V. Scarpino, Antoine Allard
Lastly, we demonstrate that without data on the heterogeneity in secondary infections for emerging infectious diseases like COVID-19, the uncertainty in outbreak size ranges dramatically.
Populations and Evolution Applied Physics Physics and Society