The study of epidemics is useful for not only understanding outbreaks and trying to limit their
adverse effects, but also because epidemics are related to social phenomena such as …

Efficient energy consumption is crucial for achieving sustainable energy goals in the era of
climate change and grid modernization. Thus, it is vital to understand how energy is …

We study allocation of COVID-19 vaccines to individuals based on the structural properties
of their underlying social contact network. Even optimistic estimates suggest that most …

UVA-EpiHiper is a national scale agent-based model to support the US COVID-19 Scenario
Modeling Hub (SMH). UVA-EpiHiper uses a detailed representation of the underlying social …

The COVID-19 global outbreak represents the most significant epidemic event since the
1918 influenza pandemic. Simulations have played a crucial role in supporting COVID-19 …

Agent-based models (ABMs) simulate interactions between autonomous agents in
constrained environments over time and are often used for modeling the spread of infectious …

The next exciting step for large-scaled, data-driven, agent-based simulations is to make
them live. In this article we describe what is meant by a live simulation, how this concept …

We study the role of vaccine acceptance in controlling the spread of COVID-19 in the US
using AI-driven agent-based models. Our study uses a 288 million node social contact …

In this paper, we present an algorithm for creating a synthetic population for the Greater
Melbourne area using a combination of machine learning, probabilistic, and gravity-based …

A synthetic population is a simplified microscopic representation of an actual population.
Statistically representative at the population level, it provides valuable inputs to simulation …