Evidence map›Paper›PMID 38020545›Full record

ArticleHardwareX2023

AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings.

Engineer Bainomugisha, Joel Ssematimba, Deogratius Okedi, Anold Nsubuga, Marvin Banda, George William Settala, Gideon Lubisia

Abstract read
In one paragraph

Article in HardwareX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Calibration of low-cost sensor data for ambient PMAtmospheric pollution research · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Engineer BainomugishaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
Joel SsematimbaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
Deogratius OkediAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
Anold NsubugaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
Marvin BandaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
George William SettalaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.
Gideon LubisiaAirQo, Department of Computer Science, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution remains a major public health risk. People living in urban spaces are among those most affected by exposure to unhealthy levels of air pollution. However, many urban spaces especially in low- and middle-income countries lack high resolution and long-term data on the state of air quality. Without high resolution air quality data on the different spaces in a city, citizens and authorities are unable to quantify the challenge and act. This is in part attributed to the high cost of air quality monitoring equipment that are expensive to set up, maintain and not designed for local operating conditions that characterise environments in such contexts. In this paper, we describe AirQo sensor kit, a low-cost sensing hardware system designed for and custom made to work in low-resource settings and outdoor urban environments. We describe the design of the air quality sensing device, 3D-printed enclosure, installation-mount, fabrication and deployment configurations. We demonstrate that the low-cost sensing hardware provides a complete solution comparable to the traditional monitoring system and inspires action to tackle air pollution issues. The sensor kit presented in this paper has been widely deployed in cities in Eastern, Western and Central African countries.

Indexed as

African urban air quality monitoringAir quality sensingAutonomous environmental sensing

Identifiers

PMID38020545
PMCPMC10660076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.