Abstract
There are growing concerns about poor indoor air quality in refugee shelters, particularly regarding chronic health conditions and the spread of airborne diseases like COVID-19. These issues are influenced by shelter design and occupants’ behaviours, such as cooking and window usage. However, behavioural aspects are often overlooked in shelter design due to the challenges of monitoring occupants, which can be costly and intrusive. To address this, we developed a cost-effective method for assessing shelters that combines self-assessed behavioural data, predicted ventilation rates, and a mathematical model for airborne disease transmission. This approach was tested in temporary housing following the 2020 floods in Kumamoto Prefecture, Japan. Results indicated that indoor CO 2 levels exceeded national thresholds over 70% of the time, suggesting inadequate ventilation to mitigate airborne disease transmission. We estimated a 60–80% risk of COVID-19 transmission under these conditions. Our findings highlight severe health inequalities in forcibly displaced populations and provide: (i) the first comprehensive guide to monitoring indoor conditions and behaviours in these settings; (ii) a new model for assessing airborne disease risk. While the study focuses on COVID-19, the results can be extended to other airborne respiratory diseases through our reproductive number (R 0) estimates. Practical application: This study presents a novel, low-cost method for monitoring indoor air quality and ventilation in temporary shelters and refugee housing, which can be applied by built environment professionals and humanitarian workers without the need for advanced technical skills. By focusing on occupant behaviour and using minimal sensor data, this approach provides practical insights for improving shelter design, reducing airborne disease transmission risks like COVID-19, and enhancing overall indoor environmental quality. The method is particularly relevant for displaced populations, where ensuring healthy and sustainable living conditions is critical to occupant well-being.
| Original language | English |
|---|---|
| Pages (from-to) | 815-844 |
| Number of pages | 30 |
| Journal | Building Services Engineering Research & Technology |
| Volume | 46 |
| Issue number | 6 |
| Early online date | 18 Jun 2025 |
| DOIs | |
| Publication status | Published - 30 Nov 2025 |
Data Availability Statement
The data used to support the findings of this study have been deposited in the Bath University research data archive and can be downloaded from https://researchdata.bath.ac.uk/id/eprint/1370.Acknowledgements
This research was conducted thanks to the collaboration of the Tokyo City University (TCU) in Japan. The authors particularly thank Miho Okuyama for facilitating the data collection. The authors also express their gratitude to all the families surveyed and all those involved, including, Dr Naja Aqilah, Dr Supriya Khadka and Dr Mishan Shrestha and Dr Rita Thapa.Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was funded by the Sasakawa Foundation [grant number 6010]. Anna Conzatti appreciates the support of the McIntyre Scholarship in Healthy Housing.
| Funders | Funder number |
|---|---|
| Tokyo City University | |
| Sasakawa Foundation | 6010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- COVID-19
- Indoor air quality
- carbon dioxide
- shelter design
ASJC Scopus subject areas
- Building and Construction
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Dataset for "The influence of occupant behaviour on indoor air quality and COVID-19 risk in refugee shelters and temporary houses"
Conzatti, A. (Creator), Rijal, H. B. (Creator), Fosas, D. (Supervisor), Kershaw, T. (Supervisor) & Coley, D. (Supervisor), University of Bath, 18 Jun 2025
DOI: 10.15125/BATH-01370
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