Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs

Peladarinos, Nikolaos; Cheimaras, Vasileios; Piromalis, Dimitrios; Arvanitis, Konstantinos G.; Papageorgas, Panagiotis; Μονιός, Νικόλαος; Dogas, Ioannis; Stojmenović, Miloš; Tsaramirsis, Georgios

doi:10.3390/s21186183

Cited by 25 publications

(20 citation statements)

References 34 publications

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“…As the presence of indoor PM and NO 2 may indicate presence of SARS-CoV-2, this could be monitored with inexpensive sensors and reduced with air purifiers ( Kaliszewski et al, 2020 ; Li et al, 2020a ; Liu et al, 2021a ; Peladarinos et al, 2021 ). High efficiency particulate air filters (HEPA) and fine filters have been reported to disinfect 83% and 54% SARS-CoV-2 containing aerosols, respectively, and have a high filtration efficiency for 0.3 µm - 10 µm particles ( Zhang, 2020 ; Zhao et al, 2020a ).…”

Section: Indoor Airmentioning

confidence: 99%

Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2

Stietiya

2022

Hygiene and Environmental Health Advances

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Section: Indoor Airmentioning

confidence: 99%

Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2

Stietiya

2022

Hygiene and Environmental Health Advances

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“…In addition, a quick alert system was introduced to minimize damage to the indoor air quality [31]. Peladarinos et al ( 2021) developed an early warning system for COVID-19 infection using an air quality measurement system [32]. The developed server operates a web program to manage the air quality measurement devices and measurement data of sixteen air quality items.…”

Section: Software Process Of Multi-item Air Quality Monitoring Systemmentioning

confidence: 99%

Development of Multi-Item Air Quality Monitoring System Based on Real-Time Data

et al. 2021

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Many air pollutants are inhaled by human breathing, increasing the prevalence of respiratory disease and even mortality. With the recent COVID-19 issue, the number of air pollutants affecting humans is demands further investigation. However, there are not many adequate air measuring devices that can cover a variety of air pollutants. In this study, the developed air measurement system is able to measure sixteen air pollutants (PM10, PM2.5, PM4.0, PM1.0, CO2, CH4, temperature, humidity, VOCs, O2, H2S, NH3, SO2, CO, O3, NO2) in real time. The developed ‘multi-item air quality monitoring system’ can measure sixteen air pollutants in real time and transmit them to the server and the smartphone application at the same time. It was developed to reduce air pollutant damage to humans by emergency alerts using the smartphone application. The development system is composed of hardware development (measurement device) and software development (smartphone application, server). To verify the reliability of the developed equipment, a comparative test, temperature–humidity accuracy test, and operating temperature test were conducted. In the comparative test, difference ratios of ±5% for PM10, ±6% for PM2.5, ±4% for O3, ±5% for NO2, ±7% for CO, and ±7% for SO2 were found compared to the professional measuring devices. The temperature and humidity accuracy test result showed high reliability at ±1% and humidity ± 2%. The result of the operating temperature test showed that there was no problem in normal operation, However, further tests including the long-term comparative test and the closed chamber test will be carried out for all sensors. Additional work including a long-term test for more clear reliability of the device and closed chamber accuracy test for all 16-item sensors, data acquisition rate, and data transmit rate are in progress for commercializing the device.

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“…As can be noted, in the literature review described above, no automated systems were found for monitoring, control and decision-making, integrating early warning systems, information systems that monitor disaster risk levels, systems for health care management in hospitals, or for autonomous movement for people with visual or hearing impairment in enclosed spaces and in public passenger transport, except for some combinations, as in [ 53 ]. In that instance, they combined EWS and IoT for the development of sensor-based wide area networks to measure levels of solid particles in the air and determine air pollution.…”

Section: Introductionmentioning

confidence: 99%

Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens

Chang

Castillo

Montes

2022

Sensors

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The multilayer technology integration of hardware and software will reduce the social inclusion gap and increase the support in case of an emergency for people with special needs at hearing and visual levels. This research shows a development based on Internet of Things to support people with visual disabilities (PwVD) for indoor and outdoor activities. The decision-making process is made at the operational, tactical, and strategic level, providing a safe place so people with visual and hearing special needs can make decisions, their families can make decisions, and the government authorities can make decisions in case of an emergency or even on a day-by-day basis. In the case of the authorities, the smart visualization of the data according to the information provided facilitates Comprehensive Disaster Risk Management (CDRM) and Disaster Risk Reduction (DRR). The main findings are based on the need to develop mobile applications, dashboard and web applications that are responsive to people with visual or hearing disabilities, and the need to develop an infrastructure of communication systems assisted by batteries and clean energy, and independent of the current telecommunications system, to allow greater reliability.

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Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs

Cited by 25 publications

References 34 publications

Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2

Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2

Development of Multi-Item Air Quality Monitoring System Based on Real-Time Data

Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens

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