42 citations · 59 across the 4 of their papers we have counts for
5 papers
Bayesian Space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic
Andrew B Lawson, Joanne Kim
This paper describes the Bayesian SIR modeling of the 3 waves of Covid-19 in two contrasting US states during 2020-2021. A variety of models are evaluated at the county level for g…
Space-Time Covid-19 Bayesian SIR modeling in South Carolina
Andrew B. Lawson, Joanne Kim
The Covid-19 pandemic has spread across the world since the beginning of 2020. Many regions have experienced its effects. The state of South Carolina in the USA has seen cases sinc…
Mind the scales: Harnessing spatial big data for infectious disease surveillance and inference
Elizabeth C. Lee, Jason M. Asher, Sandra Goldlust +3
Spatial big data have the "velocity," "volume," and "variety" of big data sources and additional geographic information about the record. Digital data sources, such as medical clai…
Cluster detection and risk estimation for spatio-temporal health data
Duncan Lee, Andrew Lawson
In epidemiological disease mapping one aims to estimate the spatio-temporal pattern in disease risk and identify high-risk clusters, allowing health interventions to be appropriate…
A Bayesian Hierarchical Modeling Approach to Dietary Assessment via Food Frequency
Andrew Lawson, Daniela Nitcheva
Previous likelihood-based linear modeling of nutritional data has been limited by the availability of software that allows flexible error structures in the data. We demonstrate the…