4 papers
Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models
Orhan Yagizer Cinar, Timur Emre Ozkose, Emma Von Hoene +3
Recent advancements in Large Language Models (LLMs) have created new opportunities to streamline and potentially automate many research processes, including systematic literature r…
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…