From the 1 of 5 linked papers with an AI index.
5 papers
Mobility and Contact Networks Shape Epidemic Outcomes: A Large-Scale Agent-Based Modeling Study
Kuldip Singh Atwal, Emma Von Hoene, Hossein Amiri +3
The paper investigates how different assumptions about human mobility affect contact network structures and epidemic outcomes in a large-scale agent-based model of an urban populat…
Geographically Weighted Surrogate Models for Rapid Small-Area Chronic Disease Estimation
Aanya Gupta, Szandra Péter, Sara Von Hoene +2
Small-area estimation (SAE) enables researchers and policymakers to identify spatial disparities in health outcomes, but survey-based SAE products carry an inherent lag. Gold-stand…
Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
Taylor Anderson, Sara Von Hoene, Orhan Yagizer Cinar +4
There is a growing interest in utilizing synthetic populations for a diverse range of applications. At the same time, we are witnessing a tremendous growth in artificial intelligen…
Evaluation of A Spatial Microsimulation Framework for Small-Area Estimation of Population Health Outcomes Using the Behavioral Risk Factor Surveillance System
Emma Von Hoene, Aanya Gupta, Hamdi Kavak +2
This study introduces the Spatial Health and Population Estimator (SHAPE), a spatial microsimulation framework that applies hierarchical iterative proportional fitting (IPF) to est…
All Models Are Wrong, But Can They Be Useful? Lessons from COVID-19 Agent-Based Models: A Systematic Review
Emma Von Hoene, Sara Von Hoene, Szandra Peter +9
The COVID-19 pandemic prompted a surge in computational models to simulate disease dynamics and guide interventions. Agent-based models (ABMs) are well-suited to capture population…