WorldPop is an open-access platform providing high-resolution spatial demographic data, population datasets, and geospatial tools to support evidence-based decision-making in public health, disaster risk reduction, environmental management, urban planning, and sustainable development. The platform produces gridded population estimates, population density maps, age and sex distributions, births, pr...

In response to the need to further explore and understand the technical needs and challenges presented by implementing a multi–pollutant, risk–based approach to air quality management, a case study was performed for the urban area of Detroit. As part of this case study, two contrasting air quality control strategies were assessed and compared. One strategy mimicked the “status quo”, where controls...

This peer-reviewed review article examines how air quality modelling can strengthen public health research, exposure assessment, and air quality management. It describes the complementary roles of photochemical, dispersion, and hybrid air quality models in estimating population exposure to pollutants such as fine particulate matter (PM₂.₅), ozone (O₃), hazardous air pollutants, and wildfire smoke....

The NASA Earthdata Air Quality portal provides access to satellite observations, airborne measurements, ground-based data, models, and analytical tools that support air quality monitoring, research, and decision-making. The portal brings together a wide range of Earth observation datasets on aerosols, trace gases (including nitrogen dioxide, sulfur dioxide, carbon monoxide, and ozone), meteorologi...

This research article examines how the spatial resolution of air quality models influences estimates of the health benefits associated with reductions in air pollution. Using the Community Multiscale Air Quality (CAMx) model and the U.S. EPA’s BenMAP health benefits assessment tool, the authors compare health impact estimates generated at 36 km, 12 km, and 4 km resolutions across nine regions in t...

Ambient fine particulate matter (PM2.5) is a growing issue in Ho Chi Minh City (HCMC), the most populous province in Viet Nam. Estimating the benefits of reducing PM2.5 levels has still been sparse in HCMC. The study used the Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP-CE) to estimate the health, and economic benefits in three controlling scenarios of annual ave...

This research paper estimates the health burden and economic costs associated with ambient particulate matter (PM₁₀ and PM₂.₅) pollution in the Republic of Macedonia (now North Macedonia). Using air quality monitoring data, population statistics, and established exposure–response functions, the study quantifies premature mortality, morbidity, and disability-adjusted life years (DALYs) attributable...

This preprint presents a health and economic impact assessment of achieving the WHO Air Quality Guidelines (AQGs) and Interim Target 3 (IT-3) for ambient PM₂.₅ and NO₂ across 136 low- and middle-income countries (LMICs). Using high-resolution air pollution, population, and disease burden data, the study estimates the reductions in mortality, morbidity, and associated economic costs that could resu...

This document, Policy Assessment for the Reconsideration of the National Ambient Air Quality Standards for Particulate Matter (hereafter referred to as the PA), presents the policy assessment for the U.S. Environmental Protection Agency’s (EPA’s) reconsideration of the review of the national ambient air quality standards (NAAQS) for particulate matter (PM) completed in 2020. The overall plan for t...

One element of GHG emissions data quality management involves quantitative and qualitative uncertainty analysis. For example, several emissions trading proposals require that participants provide basic uncertainty information for emissions from their activities (e.g. the proposed European Emissions Allowance Trading Scheme). The GHG Protocol Initiative has developed this guidance along with a calc...