4 papers
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
Bright Kwaku Manu, Trevor Reckell, Beckett Sterner +1
Stochastic Petri Nets (SPNs) are an increasingly popular tool of choice for modeling discrete-event dynamics in areas such as epidemiology and systems biology, yet their parameter…
The Basic Reproduction Number for Petri Net Models: A Next-Generation Matrix Approach
Trevor Reckell, Beckett Sterner, Petar JevtiÄ
The basic reproduction number () is an epidemiological metric that represents the average number of new infections caused by a single infectious individual in a completely sus…
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
Ali Sarabi, Arash Sarabi, Hao Yan +2
Coccidioidomycosis, commonly known as Valley Fever, remains a significant public health concern in endemic regions of the southwestern United States. This study develops the first…
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component Models
Trevor Reckell, Bright Kwaku Manu, Beckett Sterner +2
Petri Nets are an increasingly used modeling framework for the spread of disease across populations or within an individual. For example, the Susceptible-Infectious-Recovered (SIR)…