Dataset for "Co-creation of an airflow and COVID-19 transmission risk model for shelter design"
This dataset underpins a journal article titled "Co-creation of an Airflow and COVID-19 Transmission Risk Model for Shelter Design." The paper introduces the first collaboratively developed tool designed to guide shelter design by ensuring adequate natural ventilation, optimal indoor air quality, and minimized airborne transmission risks. This study explores the development and application of this tool to promote healthier shelters and enhance the shelter design process.
Data was collected using the JISC online tool across two phases: the first before the tool's creation and the second after its implementation by participants. The dataset includes responses from online surveys conducted with participants from various global locations. It encompasses information on shelter designers' experience in shelter construction, their background knowledge of natural airflow and indoor air quality, and feedback on the usability of the co-created tool.
Cite this dataset as:
Conzatti, A.,
Kuchai, N.,
Keser, E.,
Albadra, D.,
Coley, D.,
2026.
Dataset for "Co-creation of an airflow and COVID-19 transmission risk model for shelter design".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01434.
Export
Access on request: Due to the nature of the consent obtained, the data may only be accessed by bona fide researchers.
Creators
Anna Conzatti
University of Bath; Cardiff Metropolitan University
Noorullah Kuchai
University of Bath
Elif Keser
University of Bath
Dima Albadra
University of Bath
David Coley
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The data have been collected through two online surveys using JISC online tool to comply with GDPR and Certified to ISO 27001 standards. All the participants were enrolled on a voluntary basis after they signed an informed consent. This research has received ethical approval from the University of Bath - ethics application reference number: 2448-2592.
Data processing and preparation activities:
The data was collected using the JISC online tool across two phases: the first before the tool's creation and the second after its implementation by participants. The dataset, stored in a CSV file, includes responses from online surveys conducted with participants from various global locations. It encompasses information on shelter designers' experience in shelter construction, their background knowledge of natural airflow and indoor air quality, and feedback on the usability of the co-created tool. The data was further processed and analyzed using a Python script to derive insights and conclusions presented in the article.
Funders
University of Bath
https://doi.org/10.13039/501100000835
McIntyre Scholarship in Healthy Housing
Publication details
Publication date: 1 February 2026
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01434
URL for this record: https://researchdata.bath.ac.uk/1434
Related papers and books
Conzatti, A., Kuchai, N., Keser, E., Albadra, D., Fosas, D., and Coley, D., 2026. Co-creation of an airflow and COVID-19 transmission risk model for humanitarian shelter design. Indoor Environments, 3(1), 100154. Available from: https://doi.org/10.1016/j.indenv.2026.100154.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Anna Conzatti
Faculty of Engineering & Design
Architecture & Civil Engineering
Research Centres & Institutes
Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
