Abstract
Overcrowded humanitarian shelters often suffer from poor ventilation, leading to condensation, respiratory illnesses, and the spread of airborne diseases such as COVID-19. This study introduces SheltAir, the first co-created digital tool designed to help aid workers estimate natural ventilation rates, indoor CO2 levels, and airborne disease transmission risks in shelters. The tool, developed in collaboration with 42 NGOs, utilizes approximately 20 input variables to model indoor air quality in over 3,100 global locations. SheltAir was validated against advanced network airflow models (EnergyPlus Airflow Network and Contam) using real shelter data from Ethiopia, Djibouti, and Nepal. Results indicate that SheltAir provides accurate CO2 predictions while requiring no prior expertise in airflow modelling. Usability trials with 12 humanitarian workers showed that first-time users could simulate shelter ventilation within 30 minutes, improving efficiency in the field. The tool is currently being adopted for emergency response planning in Afghanistan.
| Original language | English |
|---|---|
| Title of host publication | Healthy Buildings Europe 2025 - Proceedings of an ISIAQ International Conference |
| Editors | Olafur H. Wallevik, Vincent Elijiah Merida, Sylgja Dogg Sigurjonsdottir |
| Publisher | International Society of Indoor Air Quality and Climate |
| Pages | 573-579 |
| Number of pages | 7 |
| ISBN (Electronic) | 9789935539762 |
| Publication status | Published - 9 Apr 2025 |
| Event | ISIAQ International Conference Healthy Buildings Europe 2025 - Reykjavik, Iceland Duration: 8 Jun 2025 → 11 Jun 2025 |
Publication series
| Name | Healthy Buildings Europe 2025 - Proceedings of an ISIAQ International Conference |
|---|
Conference
| Conference | ISIAQ International Conference Healthy Buildings Europe 2025 |
|---|---|
| Country/Territory | Iceland |
| City | Reykjavik |
| Period | 8/06/25 → 11/06/25 |
Keywords
- Airborne disease
- Building modelling
- Humanitarian response
- Indoor air quality
- Natural ventilation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
- Geography, Planning and Development
- Public Health, Environmental and Occupational Health
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Dataset for "Co-creation of an airflow and COVID-19 transmission risk model for shelter design"
Conzatti, A. (Creator), Kuchai, N. (Creator), Keser, E. (Creator), Albadra, D. (Creator) & Coley, D. (Creator), University of Bath, 1 Feb 2026
DOI: 10.15125/BATH-01434
Dataset