RT journal article
T1 Indoor Environmental Monitoring and Chronic Respiratory Diseases: A Systematic Review
A1 Camacho Magriñán, Patricia
A1 Sales Lérida, Diego
A1 León Jiménez, Antonio
A1 Sánchez Morillo, Daniel
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Mecánica y Diseño Industrial
K1 indoor air quality
K1 COPD
K1 asthma
K1 machine learning
K1 respiratory diseases
K1 exacerbations
AB Chronic respiratory diseases (CRD), which include Chronic Obstructive Pulmonary Disease (COPD) and asthma, are significant global health issues, with air quality playing a vital role in exacerbating these conditions. This systematic review explores how monitoring indoor air quality (IAQ) can help manage and reduce respiratory exacerbations in CRD patients. A search of the Web of Science database, yielding 301 articles, was conducted following PRISMA guidelines. Of these, 60 met the inclusion criteria, and after screening, 21 articles were analyzed. The review identified substantial gaps in current research: the lack of standardization in IAQ monitoring; the need for considering geographic variability and for long-term longitudinal studies; and the importance of linking monitored air quality data with respiratory health indicators. It also stressed the importance of considering the heterogeneity of patients in the methodological study design, as well as the convenience of introducing recommendation systems to assess the true impact of corrective measures on indoor air quality in the homes of chronic respiratory patients. The integration of home-based IAQ monitoring with machine learning techniques to enhance our understanding of the relationship between IAQ and respiratory health is emerging as a key area for future research. Addressing all these challenges has the potential to mitigate the impact of CRD and improve the quality of life for patients.
PB MDPI
SN 2227-7080
YR 2025
FD 2025-03-18
LK http://hdl.handle.net/10498/35967
UL http://hdl.handle.net/10498/35967
LA eng
NO This contribution has been supported by grant PID2021-126810OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026