Rollins School of Public Health | Faculty Profile
Emory Rollins School of Public Health

Howard  Chang

Associate Professor

Faculty, Biostatistics and Bioinformatics

Jointly Appointed, Environmental Health

My primary research interest is in the development and application of statistical methods for analyzing complex spatial-temporal exposure and health data. Our current projects focus on two broad areas of population health: (1) exposure assessment for air quality and extreme weather events, especially under a changing climate, and (2) health effect estimation and impact assessment leveraging large databases, such as birth/death certificates  hospital billing records, and disease surveilleince systems. I also have collaborative experience in ecology, infectious disease, social epidemiology, and community intervention trials.

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Current Projects:

1. Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity.

2. Spatio-temporal Data Integration Methods for Infectious Disease Surveillance.

3. Extreme Heat Events and Pregnancy Duration: a National Study


Contact Information

1518 Clifton Rd., NE ,

Atlanta , GA 30322

Mailstop: 1518-002-3AA

Phone: (404) 712-4627

Fax: (404)727-1370


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Areas of Interest

  • Air Pollution
  • Biostatistics
  • Climate and Health
  • Environmental Health
  • Epidemiology
  • Exposure Assessment
  • Infectious Disease
  • Spatial Analysis/GIS


  • PhD 2009, Johns Hopkins University
  • BSc 2004, University of British Columbia

Courses Taught

  • BIOS 760R: Adv.Topics in Biostatistics
  • BIOS 525: Longitudinal Data Analysis
  • BIOS 525: Longitudinal Data Analysis


  • , , A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration., Atmospheric Environment, 222,
  • , , A spatial hierarchical model for integrating and bias-correcting data from passive and active disease surveillance systems, Spatial and Spatio-Temporal Epidemiology, 35,
  • , , A Bayesian ensemble approach to combine PM2.5 estimates from statistical models using satellite imagery and numerical model simulation, Environmental Research, 178,
  • , , Time-Series Analysis of Air Pollution and Health Accounting for Covariate-Dependent Overdispersion, American Journal of Epidemiology, 187,
  • , , Projecting health impacts of climate change: embracing an uncertain future., Chance, 30, 55-61
  • , , Time-series Analysis of Heat Waves and Emergency Department Visits in Atlanta, 1993 to 2012, Environmental Health Perspectives, 125, 057009
  • , , Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study., Biostatistics, 16, 509-521
  • , , A statistical modeling framework for projecting future ambient ozone and its health impact due to climate change., Atmospheric Environment, 89, 290–297
  • , , Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling., Journal of Exposure Science and Environmental Epidemiology, 24, 398-404
  • , , A spatial time-to-event approach for estimating associations between air pollution and preterm birth., Journal of the Royal Statistical Society: Series C, 62, 167-179
  • , , Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005 (with invited commentary)., American Journal of Epidemiology, 175, 91-98
  • , , Estimating the acute health effects of coarse particulate matter accounting for exposure measurement error., Biostatistics, 12, 637-652