37 citations · 68 across the 11 of their papers we have counts for
4 papers · 1 filter
EpiCovDA: a mechanistic COVID-19 forecasting model with data assimilation
Hannah R. Biegel, Joceline Lega
We introduce a minimalist outbreak forecasting model that combines data-driven parameter estimation with variational data assimilation. By focusing on the fundamental components of…
Aedes-AI: Neural Network Models of Mosquito Abundance
Adrienne C. Kinney, Sean Current, Joceline Lega
We present artificial neural networks as a feasible replacement for a mechanistic model of mosquito abundance. We develop a feed-forward neural network, a long short-term memory re…
Epidemics from the Eye of the Pathogen
Faryad Darabi Sahneh, William Fries, Joseph C. Watkins +1
While a common trend in disease modeling is to develop models of increasing complexity, it was recently pointed out that outbreaks appear remarkably simple when viewed in the incid…
Parameter Estimation from ICC curves
Joceline Lega
Incidence vs Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological mo…