Dataset Information

Global urban temporal trends in fine particulate matter (PM_2·5) and attributable health burdens: estimates from global datasets.

ABSTRACT:

Background

With much of the world's population residing in urban areas, an understanding of air pollution exposures at the city level can inform mitigation approaches. Previous studies of global urban air pollution have not considered trends in air pollutant concentrations nor corresponding attributable mortality burdens. We aimed to estimate trends in fine particulate matter (PM_2·5) concentrations and associated mortality for cities globally.

Methods

We use high-resolution annual average PM_2·5 concentrations, epidemiologically derived concentration response functions, and country-level baseline disease rates to estimate population-weighted PM_2·5 concentrations and attributable cause-specific mortality in 13 160 urban centres between the years 2000 and 2019.

Findings

Although regional averages of urban PM_2·5 concentrations decreased between the years 2000 and 2019, we found considerable heterogeneity in trends of PM_2·5 concentrations between urban areas. Approximately 86% (2·5 billion inhabitants) of urban inhabitants lived in urban areas that exceeded WHO's 2005 guideline annual average PM_2·5 (10 μg/m³), resulting in an excess of 1·8 million (95% CI 1·34 million-2·3 million) deaths in 2019. Regional averages of PM_2·5-attributable deaths increased in all regions except for Europe and the Americas, driven by changes in population numbers, age structures, and disease rates. In some cities, PM_2·5-attributable mortality increased despite decreases in PM_2·5 concentrations, resulting from shifting age distributions and rates of non-communicable disease.

Interpretation

Our study showed that, between the years 2000 and 2019, most of the world's urban population lived in areas with unhealthy levels of PM_2·5, leading to substantial contributions to non-communicable disease burdens. Our results highlight that avoiding the large public health burden from urban PM_2·5 will require strategies that reduce exposure through emissions mitigation, as well as strategies that reduce vulnerability to PM_2·5 by improving overall public health.

Funding

NASA, Wellcome Trust.

SUBMITTER: Southerland VA

PROVIDER: S-EPMC8828497 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Global urban temporal trends in fine particulate matter (PM<sub>2·5</sub>) and attributable health burdens: estimates from global datasets.

Southerland Veronica A VA Brauer Michael M Mohegh Arash A Hammer Melanie S MS van Donkelaar Aaron A Martin Randall V RV Apte Joshua S JS Anenberg Susan C SC

The Lancet. Planetary health 20220105 2

<h4>Background</h4>With much of the world's population residing in urban areas, an understanding of air pollution exposures at the city level can inform mitigation approaches. Previous studies of global urban air pollution have not considered trends in air pollutant concentrations nor corresponding attributable mortality burdens. We aimed to estimate trends in fine particulate matter (PM<sub>2·5</sub>) concentrations and associated mortality for cities globally.<h4>Methods</h4>We use high-resolu ...[more]

PMID: 34998505

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Dataset Information

Global urban temporal trends in fine particulate matter (PM_2·5) and attributable health burdens: estimates from global datasets.

Background

Methods

Findings

Interpretation

Funding

Publications

Global urban temporal trends in fine particulate matter (PM<sub>2·5</sub>) and attributable health burdens: estimates from global datasets.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Global urban temporal trends in fine particulate matter (PM2·5) and attributable health burdens: estimates from global datasets.

Background

Methods

Findings

Interpretation

Funding

Publications

Global urban temporal trends in fine particulate matter (PM&lt;sub&gt;2·5&lt;/sub&gt;) and attributable health burdens: estimates from global datasets.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Global urban temporal trends in fine particulate matter (PM_2·5) and attributable health burdens: estimates from global datasets.

Global urban temporal trends in fine particulate matter (PM<sub>2·5</sub>) and attributable health burdens: estimates from global datasets.