Feasibility of Assessing Public Health Impacts of Air Pollution Reduction Programs on a Local Scale: New Haven Case Study
2011

Assessing Health Impacts of Air Pollution Reduction in New Haven

Sample size: 367173 publication Evidence: moderate

Author Information

Author(s): Danelle T. Lobdell, Vlad Isakov, Lisa Baxter, Jawad S. Touma, Mary Beth Smuts, Halûk Özkaynak

Primary Institution: U.S. Environmental Protection Agency

Hypothesis

Can we assess the public health impacts of air pollution reduction programs in New Haven, Connecticut?

Conclusion

Substantial reductions in air pollution are needed to detect health impacts of environmental actions in small communities like New Haven.

Supporting Evidence

  • Model projections suggested decreases in pollutant concentrations mainly due to local sources.
  • Sample size analyses supported the feasibility of identifying health linkages with reductions in NOx.
  • Exploratory simulations indicated potential health impacts from PM reductions.

Takeaway

This study looked at how reducing air pollution in New Haven could help people's health, showing that big cuts in pollution are needed to see real benefits.

Methodology

The study used a hybrid modeling approach combining regional and local air quality data to estimate pollutant concentrations and assess health outcomes.

Potential Biases

Potential biases due to incomplete health data and the complexity of isolating the effects of specific regulations.

Limitations

The study faced challenges in accessing geographically and temporally resolved health data.

Participant Demographics

The study area included a population of approximately 367,000 people in New Haven County.

Statistical Information

P-Value

<0.1

Statistical Significance

p<0.1

Digital Object Identifier (DOI)

10.1289/ehp.1002636

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