The influence of occupant behaviour on indoor air quality and COVID-19 risk in refugee shelters and temporary houses

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.

Authors

Institutions

Publication Details

Journal
Building Services Engineering Research and Technology
Published
2025-06-18
DOI
https://doi.org/10.1177/01436244251340358
Citations
2
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
3.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The influence of occupant behaviour on indoor air quality and COVID-19 risk in refugee shelters and temporary houses

Hom Bahadur Rijal, Daniel Fosas, David Coley, Tristan Kershaw et al.
2 citations
Building Services Engineering Research and Technology
Infection Control and Ventilation
3.04
article

The influence of occupant behaviour on indoor air quality and COVID-19 risk in refugee shelters and temporary houses

Hom Bahadur Rijal, Daniel Fosas, David Coley, Tristan Kershaw, Anna Conzatti, Takashi Nakaya
article en
2 citations

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.

Building Services Engineering Research and TechnologyVol. 46(6)
Shinshu University (JP), Tokyo City University (JP), University of Exeter (GB), Ōtani University (JP), University of Bath (GB), University of Edinburgh (GB)
Great Britain Sasakawa Foundation
Openalex Percentile: Top 9%
Infection Control and Ventilation
3.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.