Equity, accessibility, and public health implications of digital platforms delivering realtime air quality information: A systematic technology review

According to the World Health Organisation, air pollution constitutes the largestenvironmental risk to health globally, with 99% of the world’s population residing inareas exceeding recommended guidelines; the provision of real-time air qualityinformation through mobile or web-based applications, accompanied by behaviouralguidance, offers a critical strategy for reducing individual exposures and improvingpopulation health outcomes. This type of information is provided at different geographicand temporal scales and has become increasingly common and decentralised overtime. As a result, there is a gap in knowledge about the quality, characteristics, andeffects of digitally available air quality information and messaging, which has thepotential to protect public health. This study addresses this gap by conducting asystematic technology review of publicly available digital platforms, or “channels”, thatshare real-time information and data about localised air pollution levels. Using the UKas a case example, computational methods were leveraged to examine how the dataunderpinning existing digital air quality information channels (websites, mobileapplications, sensors, etc.) is generated, and by which entities. This involvedsystematic searches of Google, the Google Play Store (Android), and Apple App Store(iOS) using SerpAPI meta search engine software and a list of search terms. 146channels meeting the inclusion criteria were retained and included in the review.Summary statistics from channel metadata show trends surrounding the prevalence ofcertain types of channels, changes in characteristics channels over time, and otheremerging patterns across the information landscape. This review also examineschannel specific differences in available information, however, was limited to AQchannels accesible in the UK and excluded real-time social media data due to cost andaccess constraints. Lastly, the review considers demographic and other social factorsthat can affect when, where, and how air quality information and exposure reducingbenefits are accessed. Findings from this work contribute to knowledge surroundingthe production and consumption of digitally available air quality information with globalhealth protective potential.

Authors

Publication Details

Published
2025-09-22
DOI
https://doi.org/10.31235/osf.io/x36fg_v1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Equity, accessibility, and public health implications of digital platforms delivering realtime air quality information: A systematic technology review

William Francis, Kayla Schulte, Andrew P. Grieve, Adam Brighty
Air Quality Monitoring and Forecasting
article

Equity, accessibility, and public health implications of digital platforms delivering realtime air quality information: A systematic technology review

William Francis, Kayla Schulte, Andrew P. Grieve, Adam Brighty
article en

Abstract

According to the World Health Organisation, air pollution constitutes the largestenvironmental risk to health globally, with 99% of the world’s population residing inareas exceeding recommended guidelines; the provision of real-time air qualityinformation through mobile or web-based applications, accompanied by behaviouralguidance, offers a critical strategy for reducing individual exposures and improvingpopulation health outcomes. This type of information is provided at different geographicand temporal scales and has become increasingly common and decentralised overtime. As a result, there is a gap in knowledge about the quality, characteristics, andeffects of digitally available air quality information and messaging, which has thepotential to protect public health. This study addresses this gap by conducting asystematic technology review of publicly available digital platforms, or “channels”, thatshare real-time information and data about localised air pollution levels. Using the UKas a case example, computational methods were leveraged to examine how the dataunderpinning existing digital air quality information channels (websites, mobileapplications, sensors, etc.) is generated, and by which entities. This involvedsystematic searches of Google, the Google Play Store (Android), and Apple App Store(iOS) using SerpAPI meta search engine software and a list of search terms. 146channels meeting the inclusion criteria were retained and included in the review.Summary statistics from channel metadata show trends surrounding the prevalence ofcertain types of channels, changes in characteristics channels over time, and otheremerging patterns across the information landscape. This review also examineschannel specific differences in available information, however, was limited to AQchannels accesible in the UK and excluded real-time social media data due to cost andaccess constraints. Lastly, the review considers demographic and other social factorsthat can affect when, where, and how air quality information and exposure reducingbenefits are accessed. Findings from this work contribute to knowledge surroundingthe production and consumption of digitally available air quality information with globalhealth protective potential.

Openalex Percentile: Top 76%
Air Quality Monitoring and Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.