CDC
CDC provides model-based population-level estimates for 29 health-related measures across US geographic units to support surveillance of chronic disease outcomes.
Key Features:
- Comprehensive Geographic Coverage: Provides estimates for all counties, most incorporated and census-designated places, census tracts, and ZIP Code Tabulation Areas (ZCTAs) in the United States.
- Model-Based Estimation: Produces model-based estimates for 29 health-related measures focused on chronic disease outcomes.
- Small-Area Estimation: Leverages modeling to generate reliable estimates for areas with limited direct health data.
- Geographic Comparability: Outputs are produced to enable comparison and aggregation of health measures across different geographic units.
Scientific Applications:
- Inform Prevention Activities: Identifies regional patterns of health risk behaviors and chronic disease burden to support targeted prevention efforts.
- Guide Policy Development: Provides localized estimates that can be used to assess health inequities and prioritize resource allocation.
- Set Health Objectives: Supports communities in defining measurable local health objectives and monitoring progress toward population health goals.
Methodology:
Employs a model-based approach that leverages existing data sources to estimate health measures for diverse geographic units, including areas with limited direct data.
Topics
Details
- License:
- Not licensed
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 9/6/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Greenlund KJ, Lu H, Wang Y, Matthews KA, LeClercq JM, Lee B, Carlson SA. PLACES: Local Data for Better Health. Preventing Chronic Disease. 2022;19. doi:10.5888/pcd19.210459. PMID:35709356. PMCID:PMC9258452.
Documentation
Links
Other
http://CDC.gov