Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-11-19DOI: 10.1016/j.indenv.2025.100139
Cassandra Conrad, Patricia Guillante, Christiana Kiesling, Kristen Cetin, Kaisen Lin
{"title":"Indoor mold concentrations, prevalence, and relation to building characteristics in homes in very cold climates","authors":"Cassandra Conrad, Patricia Guillante, Christiana Kiesling, Kristen Cetin, Kaisen Lin","doi":"10.1016/j.indenv.2025.100139","DOIUrl":"10.1016/j.indenv.2025.100139","url":null,"abstract":"<div><div>People in the U.S. spend more than 90 % of their time indoors. In very cold climates including Alaska (ASHRAE Climate Zone 8), homes provide essential shelter, yet these homes are often smaller, overcrowded, and not designed for the harsh cold climate that requires year-round heating. Extreme cold weather also creates potential condensation risk and thus the potential for mold growth. Previous research has found that many Alaska residents have concerns about mold growth in their homes and also has shown the prevalence of mold-induced respiratory infections and conditions particularly for children in these locations. However, it is rare for studies to quantify the concentration of mold or quantify its causes. This study utilized surface and airborne mold tests alongside in-person home assessments in 72 households in two rural coastal Alaskan communities. Results detected the potential for mold in the air of 39 % of homes tested, and mold was found on at least one surface in 67 % of homes tested. Nonparametric statistical tests including the Spearman Rank test, Mann-Whitney U-Test, and Kruskal Wallis test were performed to analyze correlations between indoor mold concentrations and housing characteristics. Higher concentrations of surface mold were found in homes that were older, more densely occupied, were more humid, did not have Heat Recovery Ventilators (HRVs), and for samples taken from windows. Airborne and surface mold concentrations were noted to be higher in one of the communities. This study highlights the household characteristics that are more likely to suggest the presence of air and surface mold growth in homes in very cold climates.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-11-14DOI: 10.1016/j.indenv.2025.100137
Sadegh Haghighat, Ruichuan Zhang
{"title":"Deep learning and digital twin integration for indoor environmental conditions (IEC): A state-of-the-art review","authors":"Sadegh Haghighat, Ruichuan Zhang","doi":"10.1016/j.indenv.2025.100137","DOIUrl":"10.1016/j.indenv.2025.100137","url":null,"abstract":"<div><div>This paper provides a state-of-the-art review of the integration of digital twin and deep learning technologies in the context of indoor environmental conditions (IEC). A total of 136 papers published between 2018 and 2024 were systematically selected and analyzed. The review is organized along two dimensions: (1) the IEC perspective, encompassing key environmental factors such as thermal, air quality, acoustic, and lighting conditions; and (2) the technological perspective, focusing on deep learning model types, generative AI approaches, information flow, and training strategies within digital twins. The review is then supported by illustrative examples from the literature that demonstrate this integration through data curation, model selection, deployment, continuous learning, and considerations of safety and privacy. Lastly, the review identifies current gaps in the body of knowledge and outlines future research directions. This paper contributes to the field by addressing deficiencies in existing reviews and establishing a unified understanding of how deep learning enhances digital twin capabilities for predictive, adaptive, and occupant-centric IEC analytics and management.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-09-29DOI: 10.1016/j.indenv.2025.100127
Joan F. Rey , Corinne Hager Jörin , Matias Cesari , Philippe Favreau , Roxane Pasquettaz , Vincent Perret , Joëlle Goyette Pernot
{"title":"Influences of season, ventilation, SARS-CoV-2 pandemic protective measures, and energy-shortage on VOC levels in Western Switzerland’s primary schools","authors":"Joan F. Rey , Corinne Hager Jörin , Matias Cesari , Philippe Favreau , Roxane Pasquettaz , Vincent Perret , Joëlle Goyette Pernot","doi":"10.1016/j.indenv.2025.100127","DOIUrl":"10.1016/j.indenv.2025.100127","url":null,"abstract":"<div><div>Indoor air pollution is a major threat to human health, contributing to both acute and chronic diseases in exposed individuals. School environments are particularly at risk, as they host vulnerable populations which spend a considerable amount of time indoors. Among the myriad pollutants found in indoor settings, volatile organic compounds (VOCs) are especially common and some of them have been associated with health effects from irritation to cancer following prolonged exposure. In this study, we assessed the presence of VOCs in 24 primary schools in the canton of Fribourg, Switzerland. VOCs were passively sampled at each school in three locations (twice indoors and once outdoors) for four one-week campaigns conducted across different seasons. These campaigns also captured variations due to SARS-CoV-2 protective measures and energy-saving restrictions. Overall, indoor air quality was found to be good in most of the monitored classrooms. However, elevated levels of alcohol (ethanol and isopropanol), reaching up to 40,000 µg/m<sup>3</sup>, were observed in classrooms during the enforcement of pandemic-related protective measures. Mechanical ventilation systems were associated with a general reduction in VOC exposure. Regarding indoor air reference values, most of the regulated compounds were in line with Switzerland’s or neighboring countries’ guidelines. This study demonstrates that although VOC concentrations generally remain low and within recommended limits, their consistent presence indicates numerous potential sources of exposure for both children and teachers, who spend extended periods in these environments.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lessons learned from developing the worldwide IEQ guidelines database","authors":"Samy Clinchard , Henna Maula , Piet Jacobs , Amelia Staszowska , Suchismita Bhattacharjee , Marzenna Dudzinska , Sani Dimitroulopoulou , Christina Higgins , Xiaojun Fan , Ju-Hyeong Park , Oluyemi Toyinbo , Ulla Haverinen-Shaughnessy","doi":"10.1016/j.indenv.2025.100124","DOIUrl":"10.1016/j.indenv.2025.100124","url":null,"abstract":"<div><div>Indoor environmental quality (IEQ) guidelines and standards aim to ensure consistent, safe and healthy indoor spaces by providing clear benchmarks for air quality, lighting, thermal comfort and acoustics. Many countries and organizations have established their own IEQ regulations and standards or guidelines, but discrepancies in parameters, definitions, methods, and updating frequency often cause them to lag behind the latest scientific and technological advancements, potentially limiting their effectiveness. Researchers and practitioners advocate for the simplification and unification of IEQ guidelines, though risking overlooking geographical and cultural specificities. To address these challenges, and to help preserve and use current knowledge, an open database compiling worldwide IEQ guidelines was developed, ensuring equitable access to up-to-date information. The database covers four key IEQ domains, indoor air quality (IAQ), thermal comfort, acoustics, and lighting, as well as two related domains: ventilation and outdoor air quality (OAQ). Ventilation is a critical factor influencing most of the other IEQ domains, while OAQ guidelines are sometimes used in the absence of indoor-specific guidelines. Each of the six resulting tables includes both mandatory governmental regulations and voluntary guidelines, along with internationally recognized standards for broader relevance. This paper summarizes key lessons learned from database development and data collection efforts over the past five years. Practical IEQ guidelines and standards balance health and wellbeing outcomes with environmental, economic, and comfort considerations. Guidelines and standards can work best when science-based, adaptable to regional contexts, and structured with clear, measurable parameters, such as exposure limits, timeframes, and validated measurement methods. Collaboration between scientific research, technological advancements, and policy development can ensure regulations remain effective and up to date. To increase compliance and raise public awareness, the database consolidates and shares existing international guidelines and standards, supporting global alignment with best practices while accommodating resource constraints and regional specificities.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100124"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-09-13DOI: 10.1016/j.indenv.2025.100121
Haoran Zhao , Eric Martin , Tanvir Khan , David Chasar , Jeffrey Sonne , Charles R. Withers Jr. , Marion L. Russell , William W. Delp , Wanyu Rengie Chan , Iain S. Walker , Brett C. Singer
{"title":"Mechanical ventilation and indoor air quality in recently constructed homes in the humid climate of the Southeast U.S.","authors":"Haoran Zhao , Eric Martin , Tanvir Khan , David Chasar , Jeffrey Sonne , Charles R. Withers Jr. , Marion L. Russell , William W. Delp , Wanyu Rengie Chan , Iain S. Walker , Brett C. Singer","doi":"10.1016/j.indenv.2025.100121","DOIUrl":"10.1016/j.indenv.2025.100121","url":null,"abstract":"<div><div>This study examines whole-house mechanical ventilation (WHMV) and indoor air quality (IAQ) in 51 single-family homes constructed since 2013 in the humid southeastern U.S. Homes were monitored for one or two weeks, operating with or without WHMV, or under both conditions (two-week homes, n = 11). Measurements included envelope and duct airtightness; mechanical ventilation airflows; time-resolved CO₂, PM<sub>2.5</sub>, formaldehyde, and radon; and time-integrated gravimetric PM<sub>2.5</sub>, NO₂, NOₓ, and formaldehyde. Participants reported on ventilation use, IAQ-related activities and perceptions. Major deficiencies were observed in WHMV installation, operation, and occupant awareness. Thirty-seven homes had controlled WHMV equipment. Twenty-one could meet the ASHRAE 62.2–2010 airflow requirement with continuous or controlled runtime, but only 11 systems were operating at the field team’s arrival (as-found condition). Performance and homeowner awareness varied by system type. Most energy recovery ventilators and ventilating dehumidifiers were functional and operating as found, with owners aware of their purpose. Fifteen homes had exhaust fans with compliant airflow and sound ratings but no labeling, and owners did consider them WHMV. Central Fan integrated supply (CFIS) systems were rarely functional. Six homes had no kitchen exhaust ventilation, and only 35 had airflow above the 50 L/s requirement of 62.2–2010 at any setting. PM<sub>2.5</sub> concentrations were low in most homes. WHMV operation did not discernibly lower PM<sub>2.5</sub> or formaldehyde but did significantly reduce CO<sub>2</sub> and radon in both two-week homes and all homes with/out WHMV. Occupants of homes with WHMV operating as found felt they had better control of temperature and relative humidity.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-11-21DOI: 10.1016/j.indenv.2025.100138
Charu Srivastava , Holly Samuelson
{"title":"Quantifying the impact of workplace environment features on physical activity for hybrid workers: A wearable sensors study","authors":"Charu Srivastava , Holly Samuelson","doi":"10.1016/j.indenv.2025.100138","DOIUrl":"10.1016/j.indenv.2025.100138","url":null,"abstract":"<div><div>Recent studies show that working from home has resulted in an increase in self-reported sedentary behavior; however, less is known about the contribution of workplace environment features on measured physical activity when working on a hybrid schedule (i.e., both at home and from an office). This small-scale study takes advantage of an unprecedented time to examine differences in the quantity and pattern of physical activity for hybrid workers. By pairing measured data collected from wearable activity trackers with self-reported data on work location and workday routines, we identify to what extent specific workplace environment features help promote physical activity. Results from 245 participant-days of data showed a significant 33 % increase in daily step count when working from an office compared to home, translating to an average of 2580 steps, or 25 min of additional daily physical activity. On days when participants worked either partial or full days in the office, times of increased step count aligned with reported entry and exit times from the office building. A mixed effects model further revealed that a walking commute and the presence/convenience of stairs significantly predicted increased physical activity on office days, while access to gym/exercise equipment significantly predicted higher step counts on home days. To substantiate our quantitative results, a qualitative analysis of participant responses emphasized the benefits of active commutes and walking meetings at the office, as well as access to urban amenities and walking breaks at home. This analysis serves as a strong proof of concept and could inform the design of future studies that examine the ability of work environments to promote physical activity and reduce sedentary behavior.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-11-28DOI: 10.1016/j.indenv.2025.100140
Azimil Gani Alam , Alena Bartonova , Britt Ann Kåstad Høiskar , Mirjam F. Fredriksen , Jivitesh Sharma , Hans Martin Mathisen , Zhirong Yang , Kai Gustavsen , Tore Fredriksen , Dinastry Pramadita Zakiudin , Guangyu Cao
{"title":"Building-related symptoms in school environment: Predictability using machine learning approach","authors":"Azimil Gani Alam , Alena Bartonova , Britt Ann Kåstad Høiskar , Mirjam F. Fredriksen , Jivitesh Sharma , Hans Martin Mathisen , Zhirong Yang , Kai Gustavsen , Tore Fredriksen , Dinastry Pramadita Zakiudin , Guangyu Cao","doi":"10.1016/j.indenv.2025.100140","DOIUrl":"10.1016/j.indenv.2025.100140","url":null,"abstract":"<div><div>Building-related symptoms (BRS) are commonly experienced by students in schools and are potentially affecting academic performance and health. Even though indoor environment quality (IEQ) measurements indicated fair conditions, students still perceived discomfort that led to symptoms, highlighting the necessity of collecting user-feedback about IEQ-complaints. This study aimed to predict and understand the prevalence of BRS (<em>headache, tiredness, cough, dry eyes-hands</em>) experienced by students in classrooms using machine-learning (ML) approach based on measurement data, building factors, and prevalence of IEQ-complaints. We collected measurement data (from indoor and outdoor climate), building factors, and user-feedback by students via online-platform across three sampled classrooms each campaign during three consecutive school semesters. Significant input variables for ML were pre-selected using statistical tests. ML models were evaluated based on accuracy metrics and SHAP analysis for input interpretation. Models using measurement data alone performed poorly (testing R² <50 %) to predict prevalence of BRS, whereas adding building factors and prevalence of IEQ-complaints increased accuracy (R² up to 95 %) of prediction of BRS with lower RMSE. In addition, interpretation from SHAP analysis showed IEQ-complaints especially related with indoor air quality (e.g., <em>heavy air</em>, <em>dust & dirt</em>, and <em>dry air</em>) as significant contributors for predicting prevalence of BRS. We conclude that the framework of combining objective measurements with occupant-reported complaints can be reliable, interpretable predictions of symptom prevalence. This study is limited by single-school setting, health confounders, and symptoms verification. Future research may contribute to exploring wider set of input variables, applicability, and variation of complaints preference.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-09-05DOI: 10.1016/j.indenv.2025.100120
Jun Jiang , Tobias Maria Burgholz , Kai Rewitz , Rita Streblow , Dirk Müller
{"title":"Development of the CoSIE Lab: An advanced laboratory for multi-domain indoor environmental quality research","authors":"Jun Jiang , Tobias Maria Burgholz , Kai Rewitz , Rita Streblow , Dirk Müller","doi":"10.1016/j.indenv.2025.100120","DOIUrl":"10.1016/j.indenv.2025.100120","url":null,"abstract":"<div><div>Laboratory studies are essential in advancing multi-domain indoor environmental quality (IEQ) research, as they provide highly controllable, precise, and reproducible conditions for investigating the effects of various IEQ factors on occupants’ health and behavior. However, many existing IEQ laboratories face significant challenges, including inadequate multi-domain control, limited participant-laboratory interaction, and incomplete performance testing. This paper presents the comprehensive development process of the Comfort Studies and Indoor Environment Laboratory (CoSIE Lab), a flexible and expandable research facility designed to control IEQ factors across thermal, indoor air quality, visual, and acoustic domains. The development process is organized into distinct phases: conceptual planning, design and construction, commissioning and performance testing, and experimental applications. Through this structured approach, we aim to share valuable insights and lessons learned from the development of the CoSIE Lab. Key findings indicate that capillary tube mat is an effective solution for radiant temperature control. In conjunction with a hydronic system, the CoSIE Lab achieves 76 zones with individual surface temperature control ranging from 15 °C to 40 °C. The surface radiant system enhances air conditioning process, enabling both homogenous and heterogenous air temperature distributions within the test rooms. Measurements of illuminance and color temperature demonstrate close alignment with design specifications for artificial lighting as simulated in software. An acoustic assessment reveals potential overestimation of effective absorption areas when applying the DIN EN 12354‐6 model for reverberation time calculations. In addition to these findings, this study contributes to enhancing clarity and consistency in research dissemination related to IEQ laboratory developments.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100120"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indoor EnvironmentsPub Date : 2025-12-01Epub Date: 2025-10-01DOI: 10.1016/j.indenv.2025.100126
Andrew B. Martin , Stephen M. Zimmerman , Liora E. Mael , Dustin Poppendieck , Delphine K. Farmer , Marina E. Vance
{"title":"Investigating transport of particulate matter from cooking emissions in a multi-story house using low-cost sensor measurements and different modeling approaches","authors":"Andrew B. Martin , Stephen M. Zimmerman , Liora E. Mael , Dustin Poppendieck , Delphine K. Farmer , Marina E. Vance","doi":"10.1016/j.indenv.2025.100126","DOIUrl":"10.1016/j.indenv.2025.100126","url":null,"abstract":"<div><div>This work investigates the transport of fine particulate matter (PM<sub>2.5</sub>) in a multi-story test house using cooking emissions as a point source. The test house was instrumented with 13 PM<sub>2.5</sub> monitors, and the particle sources included pan cooking and air frying, as well as ambient PM<sub>2.5</sub> penetration during periods of no indoor activity. In the absence of indoor sources, we observed about 10 % of ambient PM<sub>2.5</sub> concentrations penetrating indoors with a time lag of ≈ 1 h. Similar peak PM<sub>2.5</sub> concentrations were observed for pan frying and air frying of the same food ingredients. A cross-correlation analysis showed that it took 2–4 min for kitchen peak concentrations to reach other sensors on the first floor and about 8 min to reach the second floor. PM<sub>2.5</sub> concentrations were heterogeneous on the first floor, with non-kitchen areas peaking at 45 % ± 9 % of kitchen levels. Second-floor concentrations were more homogeneous, peaking at 18 % ± 2 % of kitchen levels. Using a typical occupancy scenario, the highest estimated personal PM<sub>2.5</sub> exposure (44 %) was experienced in the kitchen/dining area, which accounted for 9 % of the time spent at home. We used three modeling approaches to analyze particle transport throughout the house, with increasing input requirements: a multi-box model, an empirical model, and the NIST CONTAM model. All models predicted time integrated PM<sub>2.5</sub> concentrations on the 1st and 2nd floors, with R<sup>2</sup> between 0.57 and 0.82 and RMSE from 6 µg m<sup>−3</sup> to 11 µg m<sup>−3</sup>.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing indoor environmental quality in African countries: A call to action for awareness, research, and policy","authors":"Oluyemi Toyinbo , Jacob Mensah-Attipoe , Elisephane Irankunda , Ibeh Gabriel Friday , Abiyu Kerebo Berekute , Fabiano Gibson Daud Thulu , Adeshokan Muktar Olawale , Miriam Byrne , Kati Huttunen , Tunrayo Oluwadare , Lucmane Koala , Jhao-Hong Chen , Xiaojun Fan , James Waichoka , Reginald Quansah , Egide Kalisa , Pawel Wargocki","doi":"10.1016/j.indenv.2025.100123","DOIUrl":"10.1016/j.indenv.2025.100123","url":null,"abstract":"<div><div>Indoor Environmental Quality (IEQ), including indoor air quality (IAQ), thermal comfort, lighting, and noise, is a critical determinant of health, well-being, and productivity. However, African countries remain underrepresented in IEQ research, policy, and advocacy, despite facing unique challenges such as energy poverty, reliance on biomass fuels, inadequate building practices, poor ventilation, overheating, inadequate lighting, and pervasive noise pollution. These conditions increase health risks and compromise learning, working, and living environments.</div><div>This paper highlights the urgent need for a comprehensive approach to IEQ in Africa, addressing not only indoor air pollution but also thermal discomfort from rising temperatures, insufficient indoor lighting, and chronic exposure to harmful noise levels. It introduces the \"Promoting IEQ and IAQ in Africa\" initiative launched by the International Society of Indoor Air Quality and Climate (ISIAQ), which aims to foster research collaboration, raise awareness, support context-specific solutions, and influence policy development tailored to Africa’s diverse climates and socio-economic realities. By aligning with the United Nations Sustainable Development Goals (SDGs), this initiative advocates healthier and more sustainable indoor environments across the continent. This paper serves as a call to action for researchers, policymakers, and practitioners to work together to advance IEQ research, innovation, and advocacy for African communities.</div></div>","PeriodicalId":100665,"journal":{"name":"Indoor Environments","volume":"2 4","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}