Compilation of open access time-series datasets for studying temperature-mortality association

Area of Science:

• Environmental Epidemiology
• Biostatistics
• Public Health

Background:

• The temperature-mortality association is a critical area of public health research.
• Access to standardized, geographically diverse datasets is essential for robust analysis.
• Previous studies often used localized data, limiting broader conclusions.

Purpose of the Study:

• To compile and present open access daily time-series datasets for temperature-mortality research.
• To provide data suitable for time-series regression analysis at various geographic scales.
• To facilitate the exploration of geographical variations in temperature-mortality associations.

Main Methods:

• Compilation of existing daily time-series datasets on mortality counts and average ambient temperature.
• Inclusion of data from multiple geographic aggregations (cities, regions, counties).
• Datasets are prepared for time-series regression and meta-analysis.

Main Results:

• A comprehensive collection of open access daily time-series data is now available.
• The datasets cover diverse geographical locations, enabling location-specific analyses.
• The data supports both individual location analysis and pooled meta-analyses.

Conclusions:

• This dataset compilation serves as a valuable resource for researchers, educators, and students.
• It facilitates the application of time-series regression modeling for studying temperature-mortality relationships.
• The resource supports training and research in environmental epidemiology and public health.