3 citations · 4 across the 6 of their papers we have counts for
6 papers
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 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 Jevtić
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…
MPAT: Modular Petri Net Assembly Toolkit
Stefano Chiaradonna, Petar Jevtic, Beckett Sterner
We present a Python package called Modular Petri Net Assembly Toolkit (MPAT) that empowers users to easily create large-scale, modular Petri Nets for various spatial configurations…
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)…
A Novel Dataset Towards Extracting Virus-Host Interactions
Rasha Alshawi, Atriya Sen, Nathan S. Upham +1
We describe a novel dataset for the automated recognition of named taxonomic and other entities relevant to the association of viruses with their hosts. We further describe some in…