Research map / Probabilistic and scientific modeling / Treatment effects
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| allow each county to set restrictions locally rather than applying statewide restrictions | California COVID-19 mobility restrictions · California counties | mobility reduction retained: 54.0% (46.4%--61.7%) | Hurt |
| group counties using the Regional Stay-At-Home Order partition rather than restricting each county independently | California COVID-19 mobility restrictions · California counties | statewide mobility reduction retained: 92.1% (90.9%--93.3%) | Helped |
| use a random equal-sized partition instead of the Regional Stay-At-Home Order partition | California COVID-19 mobility restrictions · California counties | statewide mobility reduction retained: 62.3% (54.3%--70.4%) | Hurt |
| allow local restrictions rather than statewide restrictions | California small counties · California small counties | mobility reduction retained: 41.7% (31.0%--52.4%) | Hurt |
| allow local restrictions rather than statewide restrictions | California large counties · California large counties | mobility reduction retained: 62.1% (56.3%--67.9%) | Hurt |
| make the POI county less restricted, from purple to red, while the source CBG county remains purple | Pairwise county tier policies · California CBG-POI network, 21 of 24 POI groups | visits to POIs in the target county | Helped |
| make both the source CBG county and the POI county red rather than both purple | Pairwise county tier policies · California CBG-POI network, 22 POI groups | visits | Helped |
| use bandwidth h=4 instead of h=5 (ablation) | Proposed RD-based spillover model · California CBG-POI network | estimated spillover parameters: 2-3\% and at most 5\% | No clear effect |
| use bandwidth h=6 instead of h=5 (ablation) | Proposed RD-based spillover model · California CBG-POI network | estimated spillover parameters: at most 2\% and mostly smaller than 1\% | No clear effect |
Closest papers by meaning
- SPATIALEPIBENCH: Benchmarking Spatial Information and Epidemic Priors in Forecasting (NeurIPS 2026 · similarity 0.80)
- GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding (NeurIPS 2025 · similarity 0.79)
- Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations (NeurIPS 2025 · similarity 0.79)
- Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments (ICML 2025 · similarity 0.79)
- SpaCE: The Spatial Confounding Environment (ICLR 2024 · similarity 0.78)
- Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding (NeurIPS 2024 · similarity 0.78)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.