Objective:
- Investigate the historical relationship between temperature fluctuations and hospital admissions
Case:
Methodology:
- Temperature threshold: 12.5 and 27.5; 5% and 95%
- Maximum temperature variation
- Distributed lag nonlinear model
- Two-way fixed effects model
- Future projections via alterating temperature
Data Source
- Hospitalization data
- Weather data
- CMIP6 data
- SSP grid population and GDP
Findings:
- A higher incidence of temperature-related risks among the climate-sensitive diseases in northwestern and southwestern China
Coding Reference:
