Co-creation of an airflow and COVID-19 transmission risk model for humanitarian shelter design

Ventilation rates in overcrowded humanitarian shelters are often insufficient to prevent condensation, respiratory illness, and the transmission of airborne diseases. Enhancing ventilation is challenging due to security needs, protection from dust and insects, and a lack of design expertise among humanitarian teams without engineering backgrounds. This study presents the development, validation, and testing of a novel natural-ventilation and infection-risk assessment methodology co-designed with 42 practitioners from NGOs, humanitarian organisations, and academia through a six-phase participatory process. The new methodology requires approximately 20 inputs to characterise shelter conditions across more than 3,100 global locations and performs natural-ventilation, indoor CO₂, and COVID-19 transmission-risk calculations without the need for prior airflow-modelling knowledge. Model performance was evaluated against established network models (EnergyPlus Airflow Network and CONTAM) using representative shelters in Ethiopia, Djibouti, and Nepal, demonstrating good agreement. Usability testing with 12 aid workers showed that first-time users could complete a full shelter assessment in about 30 minutes, with subsequent iterations requiring around 15 minutes. The method provides a rapid, accessible method for estimating ventilation adequacy and airborne-diseases risk in resource-constrained settings and has been adopted by several humanitarian agencies to support emergency shelter design and ventilation decision-making. • SheltAir tool simplifies airflow modeling for humanitarian shelters, using 20 inputs and enabling non-experts to assess ventilation and COVID-19 risk in 30 minutes. • The tool’s accuracy was validated against more complex airflow models, making it a practical solution for shelter design in Ethiopia, Djibouti, and Nepal. • SheltAir’s outputs include indoor air quality and COVID-19 transmission risk, making it a versatile tool for health-focused shelter design. • Feedback from humanitarian workers and NGOs highlights the tool’s ease of use, with first-time users modeling a shelter in under an hour.

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Publication Details

Journal
Indoor Environments
Published
2026-01-29
DOI
https://doi.org/10.1016/j.indenv.2026.100154
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
0.00
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article

Co-creation of an airflow and COVID-19 transmission risk model for humanitarian shelter design

Elif Keser, Dima Albadra, David Coley, Noorullah Kuchai et al.
Indoor Environments
Infection Control and Ventilation
article

Co-creation of an airflow and COVID-19 transmission risk model for humanitarian shelter design

Elif Keser, Dima Albadra, David Coley, Noorullah Kuchai, Anna Conzatti, Daniel Fosas
article en

Abstract

Ventilation rates in overcrowded humanitarian shelters are often insufficient to prevent condensation, respiratory illness, and the transmission of airborne diseases. Enhancing ventilation is challenging due to security needs, protection from dust and insects, and a lack of design expertise among humanitarian teams without engineering backgrounds. This study presents the development, validation, and testing of a novel natural-ventilation and infection-risk assessment methodology co-designed with 42 practitioners from NGOs, humanitarian organisations, and academia through a six-phase participatory process. The new methodology requires approximately 20 inputs to characterise shelter conditions across more than 3,100 global locations and performs natural-ventilation, indoor CO₂, and COVID-19 transmission-risk calculations without the need for prior airflow-modelling knowledge. Model performance was evaluated against established network models (EnergyPlus Airflow Network and CONTAM) using representative shelters in Ethiopia, Djibouti, and Nepal, demonstrating good agreement. Usability testing with 12 aid workers showed that first-time users could complete a full shelter assessment in about 30 minutes, with subsequent iterations requiring around 15 minutes. The method provides a rapid, accessible method for estimating ventilation adequacy and airborne-diseases risk in resource-constrained settings and has been adopted by several humanitarian agencies to support emergency shelter design and ventilation decision-making. • SheltAir tool simplifies airflow modeling for humanitarian shelters, using 20 inputs and enabling non-experts to assess ventilation and COVID-19 risk in 30 minutes. • The tool’s accuracy was validated against more complex airflow models, making it a practical solution for shelter design in Ethiopia, Djibouti, and Nepal. • SheltAir’s outputs include indoor air quality and COVID-19 transmission risk, making it a versatile tool for health-focused shelter design. • Feedback from humanitarian workers and NGOs highlights the tool’s ease of use, with first-time users modeling a shelter in under an hour.

Indoor EnvironmentsVol. 3(1)
University of Exeter (GB), Dr. Reddy's Laboratories (United Kingdom) (GB), University of Bath (GB), University of Edinburgh (GB)
Openalex Percentile: Top 75%
Infection Control and Ventilation
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