Table 1 Source of data for each step (Fig. 1) in the burden of disease calculation and years of data used
Step | Data Source | Historical | Projected |
|---|---|---|---|
Extreme heat (EH) days | Maurer 1/8-degree gridded daily maximum temperature observations [6] | 1971–2000 | |
Extreme heat (EH) days | Multi-model ensembleb of statistically-downscaled 1/8-degree dailydata sets from the North American Regional Climate Change Assessment Program [3] | 2041–2070 | |
Extreme precipitation (EP) days | Multi-model ensembleb of statistically-downscaled 1/8-degree daily projections [3, 5, 14, 15] | 1971–2000a | 2041–2070 |
Population | U.S. Census [16] | 1971–2000 | |
Population | Woods & Poole economic forecasting model [17] | 2050 | |
Population | EPA’s Integrated Climate and Land-Use Scenarios (ICLUS) project for the A2 scenario [16, 103] | 2050 | |
All-natural-cause mortality | Centers for Disease Control (CDC), National Center for Health Statistics (NCHS) [17] | 2004–2006 | |
Renal/respiratory/heat hospitalizations, ages 65+ | Medicare MedPAR billing records [20] | 1990–2006 | |
Renal hospitalizations, ages 0–64 | Michigan Inpatient Database [18] | 2000–2009 | |
All-natural-cause and gastrointestinal emergency department (ED) visits | Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality [21] | 2007 | |
EH-mortality association | case-crossover analysis, see Methods | ||
EH-renal/respiratory/heat hospitalization association | Ogbomo et al. [18] | 2000–2009 | |
EH-renal hospitalization association | Gronlund et al. [20] | 1990–2006 | |
EH-all-natural-cause ED visit association | Kingsley et al. [25] | 1999–2011 | |
EP-GI ED visit association | Jagai et al. [27] | 2003–2007 |