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 CO2 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 (R0) estimates.
Original languageEnglish
Number of pages30
JournalBuilding Services Engineering Research & Technology
Early online date18 Jun 2025
DOIs
Publication statusE-pub ahead of print - 18 Jun 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.

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