ArticleInternational journal of epidemiology2024
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities.
Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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.
The trial behind it
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Air pollution and cause-specific mortality in EU: a review integrating meta-analysis and meta-regression.Scientific reports · 2026Pooled it
- Two-way fixed effects models in air pollution epidemiology: a proposed framework for model specifications and recommendations for future studies.American journal of epidemiology · 2026Article
- Three-Stage Method to Estimate Distributed Lag Effects for a Time-Series Analysis of Noncontinuous Exposure Data.Environment & health (Washington, D.C.) · 2026Article
- Enhancing Estimation of Fine Particulate Matter Chemical Composition across North America by Including GeophysicalACS ES&T air · 2026Article
- Short-term lagged exposure to ambient air pollutants and hospitalization costs among AMI patients: health-economic evidence from a low-pollution Chinese city with DRG/DIP standardized medical payment.Frontiers in public health · 2026Article
- The Multi-Country Multi-City Collaborative Research Network: An international research consortium investigating environment, climate, and health.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
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Authors and funding
22 authors.
Funding
Abstract
backgroundModel-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures.
methodsWe collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach.
resultsWe included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively.
conclusionsMortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.
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