Particulate Matter Monitoring and Assessment through Internet of Things: a Health Information System for Enhanced Living Environments

Marques, Gonçalo; Pitarma, Rui

doi:10.1007/s10916-020-01674-8

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Supplementary I nformation 2 details the main characteristics of included studies. There were 22 studies conducted in Europe; five in the UK (Wigzell et al 2000 ; Nasir and Colbeck 2013 ; O’Leary et al 2018 ; Chakraborty et al 2020 ; Shehab et al 2021 ); three in Portugal (Alves et al 2020 ; Madureira et al 2020 ; Marques and Pitarma 2020 ); two each in Sweden (Molnar et al 2005 ; Omelekhina et al 2022 ), Italy (Frasca et al 2018 ; Pietrogrande et al 2021 ) and Greece (Sarigiannis et al 2014 ; Assimakopoulos et al 2018 ); one each in Finland (Siponen et al 2019 ), Norway (Wyss et al 2016 ), Denmark (Karottki et al 2014 ), Germany (Salthammer et al 2014 ), Poland (Jedrychowski et al 2006 ), Switzerland (Monn et al 1997 ) and Belgium (Stranger et al 2009 ); and one study was multicentric (UK and the Republic of Ireland) (Semple et al 2012 ). There was only one study each from Asia (Japan) (Ohura et al 2005 ), the Middle East (Kuwait) (Yassin et al 2012 ), Oceania (Australia) (Mazaheri et al 2018 ) and South America (Chile) (Rojas-Bracho et al 2002 ).…”

Section: Resultsmentioning

confidence: 99%

“…Six studies investigated PM 2.5 concentrations associated with solid fuel appliances other than just wood combustion. Two studies examined biomass-burning fireplaces, with one reported the daily mean being 31.1 μg/m 3 (Marques and Pitarma 2020 ), and the other estimated the 24-h mean PM 2.5 concentration at 50 μg/m 3 during a cold period whilst fireplaces were operating (Sarigiannis et al 2014 ). One study investigated two types of solid fuel combustion, coal and peat burning, with 24-h mean PM 2.5 concentrations measured at 7.4 and 10.9 μg/m 3 , respectively (Semple et al 2012 ).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Exposure to fine particulate matter (PM2.5) from non-tobacco sources in homes within high-income countries: a systematic review

Wei

Semple

2022

Air Qual Atmos Health

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The health impacts associated with exposure to elevated concentrations of fine particulate matter (PM2.5) are well recognised. There is a substantial number of studies characterising PM2.5 concentrations outdoors, as well as in homes within low- and middle-income countries. In high-income countries (HICs), there is a sizeable literature on indoor PM2.5 relating to smoking, but the evidence on exposure to PM2.5 generated from non-tobacco sources in homes is sparse. This is especially relevant as people living in HICs spend the majority of their time at home, and in the northern hemisphere households often have low air exchange rates for energy efficiency. This review identified 49 studies that described indoor PM2.5 concentrations generated from a variety of common household sources in real-life home settings in HICs. These included wood/solid fuel burning appliances, cooking, candles, incense, cleaning and humidifiers. The reported concentrations varied widely, both between sources and within groups of the same source. The burning of solid fuels was found to generate the highest indoor PM2.5 concentrations. On occasion, other sources were also reported to be responsible for high PM2.5 concentrations; however, this was only in a few select examples. This review also highlights the many inconsistencies in the ways data are collected and reported. The variable methods of measurement and reporting make comparison and interpretation of data difficult. There is a need for standardisation of methods and agreed contextual data to make household PM2.5 data more useful in epidemiological studies and aid comparison of the impact of different interventions and policies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Exposure to fine particulate matter (PM2.5) from non-tobacco sources in homes within high-income countries: a systematic review

Wei

Semple

2022

Air Qual Atmos Health

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“…In South Korea, most of the PM-related public health policies and clinical interventions remain based on outdoor environments monitored by the conventional station-based method due to the lack of efforts to promote a large-scale personalized monitoring [24,25]. Recently, a number of monitoring efforts have been undertaken including a feasibility study to assess indoor PM exposure, but most of them focused on fixed IoT devices which failed to capture the concurrent air pollution and environmental monitoring data from their real-time locations [26,27]. Despite a handful of recent studies on real-time sensing of indoor and outdoor PM exposure using a low-cost portable device in South Korea [28,29], personally monitored PM data were not thoroughly evaluated for feasibility and accuracy in comparison to conventional data from station-based area monitoring.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Low-Cost Personal Monitoring for Exposure to PM2.5 among Asthmatic Children: Opportunities and Challenges

et al. 2021

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This study aims to evaluate the accuracy and effectiveness of real-time personal monitoring of exposure to PM concentrations using low-cost sensors, in comparison to conventional data collection method based on fixed stations. PM2.5 data were measured every 5 min using a low-cost sensor attached to a bag carried by 47 asthmatic children living in the Seoul Metropolitan area between November 2019 and March 2020, along with the real-time GPS location, temperature, and humidity. The mobile sensor data were then matched with station-based hourly PM2.5 data using the time and location. Despite some uncertainty and inaccuracy of the sensor data, similar temporal patterns were found between the two sources of PM2.5 data on an aggregate level. However, average PM2.5 concentrations via personal monitoring tended to be lower than those from the fixed stations, particularly when the subjects were indoors, during nighttime, and located farther from the fixed station. On an individual level, a substantial discrepancy is observed between the two PM2.5 data sources while staying indoors. This study provides guidance to policymakers and researchers on improving the feasibility of personal monitoring via low-cost mobile sensors as an alternative or supplement to the conventional station-based monitoring.

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Internet of Things IN and FOR Education

Daniela

2021

The Internet of Things for Education

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Particulate Matter Monitoring and Assessment through Internet of Things: a Health Information System for Enhanced Living Environments

Cited by 5 publications

References 39 publications

Exposure to fine particulate matter (PM2.5) from non-tobacco sources in homes within high-income countries: a systematic review

Exposure to fine particulate matter (PM2.5) from non-tobacco sources in homes within high-income countries: a systematic review

Real-Time Low-Cost Personal Monitoring for Exposure to PM2.5 among Asthmatic Children: Opportunities and Challenges

Internet of Things IN and FOR Education

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