ArticleSensors (Basel, Switzerland)2017
Small, Smart, Fast, and Cheap: Microchip-Based Sensors to Estimate Air Pollution Exposures in Rural Households.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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
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.
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Who cites it
13 citing papers in PubMed, 49 citations in OpenAlex.
- Household energy use and health in low-income and middle-income countries.The Lancet. Global health · 2026Review
- Tagging Emissions from Indoor Biomass Combustion with a Cost-Effective Sensor Array: From Design to Field Deployment in Rural Indian Households.Environmental science & technology · 2025Article
- Developing a method to estimate aerosol generation during poultry slaughtering and defeathering in Bangladesh: An experimental study.Building and environment · 2025Article
- Optimizing Exposure Measures in Large-Scale Household Air Pollution Studies: Results from the Multicountry HAPIN Trial.Environmental science & technology · 2025Article
- Characterising personal, household, and community PMThe Science of the total environment · 2023Article
- Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges.Sensors (Basel, Switzerland) · 2023Review
- Kitchen fine particulate matter (PMFrontiers in public health · 2023Article
- Using big data for evaluating development outcomes: A systematic map.Campbell systematic reviews · 2021Article
- Embedding Usage Sensors in Point-of-Use Water Treatment Devices: Sensor Design and Application in Limpopo, South Africa.Environmental science & technology · 2021Article
- High Levels of Fine Particulate Matter (PMInternational journal of environmental research and public health · 2021Article
- Air Pollutant Exposure and Stove Use Assessment Methods for the Household Air Pollution Intervention Network (HAPIN) Trial.Environmental health perspectives · 2020Article
- Can the South African Milestones for Reducing Exposure to Respirable Crystalline Silica and Silicosis be Achieved and Reliably Monitored?Frontiers in public health · 2020Article
- Monitoring and modeling of household air quality related to use of different Cookfuels in Paraguay.Indoor air · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the last 20 years, the Kirk R. Smith research group at the University of California Berkeley-in collaboration with Electronically Monitored Ecosystems, Berkeley Air Monitoring Group, and other academic institutions-has developed a suite of relatively inexpensive, rugged, battery-operated, microchip-based devices to quantify parameters related to household air pollution. These devices include two generations of particle monitors; data-logging temperature sensors to assess time of use of household energy devices; a time-activity monitoring system using ultrasound; and a CO₂-based tracer-decay system to assess ventilation rates. Development of each system involved numerous iterations of custom hardware, software, and data processing and visualization routines along with both lab and field validation. The devices have been used in hundreds of studies globally and have greatly enhanced our understanding of heterogeneous household air pollution (HAP) concentrations and exposures and factors influencing them.
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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.