161 citations · 161 across the 3 of their papers we have counts for
4 papers
Bayesian Spatio-temporal Modeling of Multi-Site Wastewater Surveillance Data
K. Ken Peng, Chengqian Xian, Charmaine B. Dean +3
Wastewater surveillance provides population-level evidence of infectious disease activity. As surveillance expands across multiple sites, repeated measurements must be analyzed joi…
Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
K. Ken Peng, Charmaine B. Dean, Robert Delatolla +2
In the post-pandemic era of COVID-19, hospitalization remains a primary public health concern and wastewater surveillance has become an important tool for monitoring its dynamics a…
Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
K. Ken Peng, Charmaine B. Dean, Robert Delatolla +1
Viral signal in wastewater offers a promising opportunity to assess and predict the burden of infectious diseases. That has driven the widespread adoption and development of wastew…
Wildfire Prediction to Inform Fire Management: Statistical Science Challenges
S. W. Taylor, Douglas G. Woolford, C. B. Dean +1
Wildfire is an important system process of the earth that occurs across a wide range of spatial and temporal scales. A variety of methods have been used to predict wildfire phenome…