The 'cityClimateHealth' package.

Tools for estimating heat-related health impacts using daily exposure and outcome data at small spatial scales. The package supports one-stage conditional Poisson models, two-stage meta-analytic designs, and spatial Bayesian approaches that borrow strength across neighboring geographic units when case counts are small. Methods include distributed lag non-linear models and attributable number calculations, with workflows designed for messy real-world epidemiologic data.

See also

Useful links:

• http://chadmilando.com/cityClimateHealth/

Author

Maintainer: Chad Milando cmilando@bu.edu

Authors:

• Emma Gause egause@bu.edu

• Quinn Adams qadams@bu.edu

• Zachary Popp zpopp@bu.edu

• Alexis Arlak aarlak@bu.edu

• Gregory Wellenius wellenius@bu.edu