2021
DOI: 10.1080/03098265.2021.1900083
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A GPS-enabled portable air pollution sensor and web-mapping technologies for field-based learning in health geography

Abstract: Geographic technologies and perspectives are important for understanding health issues because places and locations influence human health and diseases. Despite the increasing use of a geographic information system (GIS) in health research, and the explosion of new and emerging technologies, little is known about their potential as educational tools for health geography and the effectiveness for student learning. Focusing on air-sensing and web GIS technologies, this article presents an innovative pedagogical … Show more

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Cited by 16 publications
(10 citation statements)
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“…Therefore, we used the GeoAir1 device that contains the PMS A003 to store and obtain the output of the PMS A003 sensor. Details on the GeoAir1 device can be found in Park’s [ 30 ] paper. The AirBeam2 also contains a Plantower PM sensor.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, we used the GeoAir1 device that contains the PMS A003 to store and obtain the output of the PMS A003 sensor. Details on the GeoAir1 device can be found in Park’s [ 30 ] paper. The AirBeam2 also contains a Plantower PM sensor.…”
Section: Methodsmentioning
confidence: 99%
“…Due to its ease-of-use, GeoAir also holds significant potential for community-based participatory research or public participation GIS (PPGIS) projects that focus on environmental justice or health disparities. Its user friendliness substantially reduces the burden of participation and facilitates the engagement of underserved communities, particularly people who are technically less capable [ 11 ]. Engaging members of these communities in monitoring the environmental conditions of their immediate surroundings or communities can empower them to modify their behaviors to reduce air pollution and exposure in their daily lives.…”
Section: Discussionmentioning
confidence: 99%
“…However, data are often lost when their Bluetooth connection is interrupted. As observed in previous studies, smartphone applications paired with these sensor devices often crash, causing data loss; they also require technical proficiency in users, leading to frustration for research participants and high dropout rates [ 11 , 17 , 18 , 23 ]. Furthermore, these mobile applications frequently work only on Android phones and do not function properly on low-quality smartphones, limiting the eligible participants to a subset of the population.…”
Section: Methodsmentioning
confidence: 99%
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