ArticleEnvironment international2020
Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study.
Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review.Environmental monitoring and assessment · 2021Pooled it
- Calibration of Low-Cost Particulate Matter Sensors for Exposure Assessment: A Critical Review.Current environmental health reports · 2026Review
- Validation and Correction of PMACS environmental Au · 2026Article
- Citizen Science in Air Pollution Monitoring: Methodological Approaches, Effectiveness, and Integration with Health Research.Current environmental health reports · 2026Review
- Comparison of personal portable and fixed-site PMScientific reports · 2026Article
- Assessing the efficacy of a low-cost air pollution monitoring device for environmental and occupational exposure assessments.Environmental monitoring and assessment · 2025Article
- Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PMEnvironmental research · 2025Article
- Impacts of Improved Cookstove Interventions on Personal Exposure to Carbon Monoxide and Particulate Matter in Zambia.GeoHealth · 2025Article
- Optimizing Air Pollution Exposure Assessment with Application to Cognitive Function.Research report (Health Effects Institute) · 2025Article
- Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs.Scientific reports · 2025Article
- Practical considerations for using low-cost sensors to assess wildfire smoke exposure in school and childcare settings.Journal of exposure science & environmental epidemiology · 2025Article
- Multiresolution Analysis of HRRR Meteorological Parameters and GOES-R AOD for Hourly PMEnvironmental science & technology · 2024Article
- Evaluating low-cost monitoring designs for PMEnvironmental pollution (Barking, Essex : 1987) · 2024Article
- System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PMACS omega · 2024Article
- Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions.Atmospheric measurement techniques · 2024Article
- Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia.Sensors (Basel, Switzerland) · 2023Article
- Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution-Part B-Particle Number Concentrations.Sensors (Basel, Switzerland) · 2023Article
- Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data.Scientific reports · 2023Article
- Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain.Sensors (Basel, Switzerland) · 2023Article
- Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance.Heliyon · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Low-cost air monitoring sensors are an appealing tool for assessing pollutants in environmental studies. Portable low-cost sensors hold promise to expand temporal and spatial coverage of air quality information. However, researchers have reported challenges in these sensors' operational quality. We evaluated the performance characteristics of two widely used sensors, the Plantower PMS A003 and Shinyei PPD42NS, for measuring fine particulate matter compared to reference methods, and developed regional calibration models for the Los Angeles, Chicago, New York, Baltimore, Minneapolis-St. Paul, Winston-Salem and Seattle metropolitan areas. Duplicate Plantower PMS A003 sensors demonstrated a high level of precision (averaged Pearson's r = 0.99), and compared with regulatory instruments, showed good accuracy (cross-validated R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.