Xinmiao Shao
Biographic Data
| ID | 9995816 |
|---|---|
| NAME | Xinmiao Shao |
| GIVEN NAMES | Xinmiao |
| FAMILY NAME | Shao |
| SIGNATURE | SHAO X |
| AFFILIATIONS | University of Shanghai for Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Supply–demand governance of hierarchical healthcare systems
Background: The uneven distribution of healthcare resources and jobs-housing spatial separation are reshaping the spatiotemporal patterns of urban patient flows. This structural mismatch exacerbates inequalities in service utilization and imposes hidden geographic and social costs. However, conventional static statistics and theoretical models often fail to capture authentic micro-level behavioral patterns, rendering them unable to precisely quan…
Mobile signaling big data, healthcare-seeking flows, and multidimensional healthcare access in Shanghai
Background/purpose: Broad medical insurance coverage alone does not ensure that a multilevel medical security system works effectively. In a megacity, the key issue is whether residents can reach suitable care, keep choices across provider tiers, and use high-quality services within daily time-space constraints. Proximity-based measures often miss this problem because they do not capture cross-district healthcare-seeking, preferences for higher-l…
No prominent works on this page.
Supply–demand governance of hierarchical healthcare systems
Background: The uneven distribution of healthcare resources and jobs-housing spatial separation are reshaping the spatiotemporal patterns of urban patient flows. This structural mismatch exacerbates inequalities in service utilization and imposes hidden geographic and social costs. However, conventional static statistics and theoretical models often fail to capture authentic micro-level behavioral patterns, rendering them unable to precisely quan…
Mobile signaling big data, healthcare-seeking flows, and multidimensional healthcare access in Shanghai
Background/purpose: Broad medical insurance coverage alone does not ensure that a multilevel medical security system works effectively. In a megacity, the key issue is whether residents can reach suitable care, keep choices across provider tiers, and use high-quality services within daily time-space constraints. Proximity-based measures often miss this problem because they do not capture cross-district healthcare-seeking, preferences for higher-l…
Health care (2 works) · Healthcare Policy and Management (2 works) · Big data (1 work) · Corporate governance (1 work) · Data-driven (1 work) · Global Health Care Issues (1 work) · Healthcare Operations and Scheduling Optimization (1 work) · Healthcare system (1 work) · Healthcare Systems and Reforms (1 work) · Interpretability (1 work)