Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs
During the last two years, the COVID-19 pandemic continues to wreak havoc in many areas of the world, as the infection spreads through person-to-person contact. Transmission and prognosis, once infected, are potentially influenced by many factors, including indoor air pollution. Particulate Matter (...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/18/6183 |
| _version_ | 1797517215745966080 |
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| author | Nikolaos Peladarinos Vasileios Cheimaras Dimitrios Piromalis Konstantinos G. Arvanitis Panagiotis Papageorgas Nikolaos Monios Ioannis Dogas Milos Stojmenovic Georgios Tsaramirsis |
| author_facet | Nikolaos Peladarinos Vasileios Cheimaras Dimitrios Piromalis Konstantinos G. Arvanitis Panagiotis Papageorgas Nikolaos Monios Ioannis Dogas Milos Stojmenovic Georgios Tsaramirsis |
| author_sort | Nikolaos Peladarinos |
| collection | DOAJ |
| description | During the last two years, the COVID-19 pandemic continues to wreak havoc in many areas of the world, as the infection spreads through person-to-person contact. Transmission and prognosis, once infected, are potentially influenced by many factors, including indoor air pollution. Particulate Matter (PM) is a complex mixture of solid and/or liquid particles suspended in the air that can vary in size, shape, and composition and recent scientific work correlate this index with a considerable risk of COVID-19 infections. Early Warning Systems (EWS) and the Internet of Things (IoT) have given rise to the development of Low Power Wide Area Networks (LPWAN) based on sensors, which measure PM levels and monitor In-door Air pollution Quality (IAQ) in real-time. This article proposes an open-source platform architecture and presents the development of a Long Range (LoRa) based sensor network for IAQ and PM measurement. A few air quality sensors were tested, a network platform was implemented after simulating setup topologies, emphasizing feasible low-cost open platform architecture. |
| first_indexed | 2024-03-10T07:13:38Z |
| format | Article |
| id | doaj.art-90c261cbcf274b608a1ac6352a86c449 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T07:13:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-90c261cbcf274b608a1ac6352a86c4492023-11-22T15:13:06ZengMDPI AGSensors1424-82202021-09-012118618310.3390/s21186183Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANsNikolaos Peladarinos0Vasileios Cheimaras1Dimitrios Piromalis2Konstantinos G. Arvanitis3Panagiotis Papageorgas4Nikolaos Monios5Ioannis Dogas6Milos Stojmenovic7Georgios Tsaramirsis8Department of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, GreeceDepartment of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, GreeceDepartment of Industrial Design and Production Engineering, University of West Attica, 12244 Athens, GreeceDepartment of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, Iera Odos 75, 11855 Athens, GreeceDepartment of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, GreeceDepartment of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, GreeceDepartment of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, GreeceComputer Science Department, Singidunum University, 160622 Beograd, SerbiaHigher Colleges of Technology, Abu Dhabi Women’s College, Abu Dhabi 25026, United Arab EmiratesDuring the last two years, the COVID-19 pandemic continues to wreak havoc in many areas of the world, as the infection spreads through person-to-person contact. Transmission and prognosis, once infected, are potentially influenced by many factors, including indoor air pollution. Particulate Matter (PM) is a complex mixture of solid and/or liquid particles suspended in the air that can vary in size, shape, and composition and recent scientific work correlate this index with a considerable risk of COVID-19 infections. Early Warning Systems (EWS) and the Internet of Things (IoT) have given rise to the development of Low Power Wide Area Networks (LPWAN) based on sensors, which measure PM levels and monitor In-door Air pollution Quality (IAQ) in real-time. This article proposes an open-source platform architecture and presents the development of a Long Range (LoRa) based sensor network for IAQ and PM measurement. A few air quality sensors were tested, a network platform was implemented after simulating setup topologies, emphasizing feasible low-cost open platform architecture.https://www.mdpi.com/1424-8220/21/18/6183air pollutionindoor air qualityearly warningCOVID-19air-quality sensorsinternet of things |
| spellingShingle | Nikolaos Peladarinos Vasileios Cheimaras Dimitrios Piromalis Konstantinos G. Arvanitis Panagiotis Papageorgas Nikolaos Monios Ioannis Dogas Milos Stojmenovic Georgios Tsaramirsis Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs Sensors air pollution indoor air quality early warning COVID-19 air-quality sensors internet of things |
| title | Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs |
| title_full | Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs |
| title_fullStr | Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs |
| title_full_unstemmed | Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs |
| title_short | Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs |
| title_sort | early warning systems for covid 19 infections based on low cost indoor air quality sensors and lpwans |
| topic | air pollution indoor air quality early warning COVID-19 air-quality sensors internet of things |
| url | https://www.mdpi.com/1424-8220/21/18/6183 |
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