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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 languageEnglish
Pages (from-to)815-844
Number of pages30
JournalBuilding Services Engineering Research & Technology
Volume46
Issue number6
Early online date18 Jun 2025
DOIs
Publication statusPublished - 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.

FundersFunder number
Tokyo City University
Sasakawa Foundation6010

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 16 - Peace, Justice and Strong Institutions
      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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