Zero-shot LLM-generated survey data captures broad state-level health contrasts but shows variable-dependent errors that propagate unevenly through IPF-based population synthesis.
David Han, Samiul Islam, Taylor Anderson, Andrew T Crooks, and Hamdi Kavak
2 Pith papers cite this work, alongside 257 external citations. Polarity classification is still indexing.
2
Pith papers citing it
257
external citations · OpenAlex
years
2026 2representative citing papers
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.
citing papers explorer
-
Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
Zero-shot LLM-generated survey data captures broad state-level health contrasts but shows variable-dependent errors that propagate unevenly through IPF-based population synthesis.
-
Risk mapping novel respiratory pathogens with large-scale dynamic contact networks
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.