Internet of Things Based Indoor Air Quality Monitoring Systems for COVID-19 Transmission Risk Assessment: A Brief Systematic Review

Indoor air quality (IAQ) is not typically supervised. Indeed, high indoor pollutant levels are related to inadequate ventilation systems which lead to a high risk for virus propagation. Moreover, deficient heating, ventilation, and air conditioning systems (HVAC) are suggested by several research studies as a contributor to virus proliferation. Low temperature, high humidity, and particulate matter concentration are associated with the proliferation of COVID-19. This study presents a brief systematic review of the use of monitoring systems based on Internet of Things to detect deficient ventilation architectures and assess COVID-19 transmission risk. The results show that most systems use temperature, humidity, carbon dioxide and particle matter sensors for IAQ monitoring and assessment. Still, there is a lack of research activities in this area that combine people from different knowledge fields and promote the application of low-cost methods for monitoring IAQ.