National Studies on Air Pollution and Health
The National Studies on Air Pollution and Health (NSAPH) harnesses the power of data science to understand emerging threats, develop innovative solutions, and promote evidence-based policies at the intersection of climate change, air pollution, and human health.
677 Huntington Ave, Boston, MA 02115
Our Work
See below for a selection of our members’ publications!
Quantifying effects of solar power adoption on CO2 emissions reduction
Arpita Biswas, Minghao Qiu, Danielle Braun, Francesca Dominici, and Daniel Mork
Science Advances
Severe flooding and cause-specific hospitalisation among older adults in the USA: a retrospective matched cohort analysis
Sarika Aggarwal, Jie K Hu, Jonathan A Sullivan, Robbie M Parks, Rachel C Nethery
The Lancet Planetary Health
Treatment effect heterogeneity and importance measures for multivariate continuous treatments
Heejun Shin, Antonio Linero, Michelle Audirac, Kezia Irene, Danielle Braun, Joseph Antonelli
Annals of Applied Statistics
Hospitalization risk with and without dementia by region and race in the United States
Lauren Mock, Daniel Mork, Michelle Audirac, Danielle Braun, Antonella Zanobetti, Scott W Delaney
American Journal of Epidemiology
Combined and synergistic effects of heat and fine particulate matter on hospitalization among patients with Alzheimer’s disease and related dementias
Federica Spoto, Antonella Zanobetti, Scott W. Delaney, Thomas M. Gill, Michelle L. Bell, Francesca Dominici, Danielle Braun, Daniel Mork
Environmental Epidemiology
Quantifying diagnostic signal decay in dementia: a national study of Medicare hospitalization data
Federica Spoto, Jiazi Tian, Jonas Hügel, Daniel T. Ortega, Christine S. Ritchie, Deborah Blacker, Francesca Dominici, Chirag J. Patel, Daniel Mork, Hossein Estiri
Alzheimer’s & Dementia
A spatiotemporal, quasi-experimental causal inference approach to characterize the effects of global plastic waste export and burning on air quality using remotely sensed data
Ellen M Considine, Rachel C Nethery
Journal of the Royal Statistical Society Series C: Applied Statistics