no code implementations • 7 Feb 2023 • Mariah C. Boudreau, Andrea J. Allen, Nicholas J. Roberts, Antoine Allard, Laurent Hébert-Dufresne
Forecasting disease spread is a critical tool to help public health officials design and plan public health interventions. However, the expected future state of an epidemic is not necessarily well defined as disease spread is inherently stochastic, contact patterns within a population are heterogeneous, and behaviors change.
no code implementations • 7 Jul 2021 • Andrea J. Allen, Mariah C. Boudreau, Nicholas J. Roberts, Antoine Allard, Laurent Hébert-Dufresne
We show how the challenge of inferring the early course of an epidemic falls on the randomness of disease spread more so than on the heterogeneity of contact patterns.
