Evidence map›Paper›PMID 39397785›Full record

ArticleResearch report (Health Effects Institute)2024

Estimating Model-Based Marginal Societal Health Benefits of Air Pollution Emission Reductions in the United States and Canada.

A Hakami, S Zhao, M Soltanzadeh, P Vasilakos, A Alhusban, B Oztaner, N Fann, H Chang, A Krupnick, T Russell

Abstract read
In one paragraph

Article in Research report (Health Effects Institute), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Source Attribution of PMGeoHealth · 2026
    Article
  3. How Do Household Energy Transitions Work?Research report (Health Effects Institute) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

A HakamiCarleton University, Ottawa, Ontario, Canada.
S ZhaoCarleton University, Ottawa, Ontario, Canada.
M SoltanzadehCarleton University, Ottawa, Ontario, Canada.
P VasilakosGeorgia Institute of Technology, Atlanta, Georgia, USA.
A AlhusbanCarleton University, Ottawa, Ontario, Canada.
B OztanerCarleton University, Ottawa, Ontario, Canada.
N FannUnited States Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
H ChangEmory University, Atlanta, Georgia, USA.
A KrupnickResources For the Future, Washington, District of Columbia, USA.
T RussellGeorgia Institute of Technology, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed spatially detailed source-impact estimates of population health burden measures of air pollution for the United States and Canada by quantifying sources-receptor relationships using the benefit-per-ton (BPT The adjoint version of a widely used chemical transport model (CTM) allowed us to calculate location-specific BPTs at a high level of granularity for source-impact characterization. Location-specific BPTs provides a means for exploiting the disparities in source impact of emissions at different locations. For instance, estimated BPTs show that 20% of primary PM Sensitivity analyses evaluated the impact of our assumptions and study design on the estimated BPTs. The choice of concentration-response function had a substantial impact on the estimated BPTs and is likely to constitute the largest source of uncertainty in those estimates. Our method for constructing annual BPT estimates based on episodic simulations introduces low uncertainty, while uncertainties associated with the spatial resolution of the CTM were evaluated to be of medium importance. Finally, while recognizing that the use of BPTs entails an implied assumption of linearity, we show that BPTs for primary PM We used BPTs to provide location-specific and sectoral estimates for the cobenefits of reducing carbon dioxide emissions from a range of combustion sources. Cobenefit estimates rely heavily on the emission characteristics of the sector and therefore exhibit more pronounced sectoral fingerprints than do BPTs. We provide cobenefit estimates for various subsectors of on-road transportation, thermal electricity generation, and off-road engines. Off-road engines and various heavy-duty diesel vehicles had the largest cobenefits, which in most urban locations far exceeded estimates of the social cost of carbon. Based on our cobenefit estimations, we also provide per-vehicle burden estimates for different vintages of vehicle subsectors such as transit buses and short-haul trucks in major US cities.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureParticulate MatterCanadaHumansModels, TheoreticalMortality, PrematureUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID39397785
PMCPMC11476235

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.