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

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database.xlsx

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participant_information_sheet_humanitarians.pdf

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CONSENT FORM.pdf

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http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18314 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18314 http://eprints.org/relation/issmallThumbnailVersionOf https://researchdata.bath.ac.uk/id/document/18314 archive 11570 disk0/00/00/14/34 2026-02-03 12:15:38 2026-02-07 05:55:24 2026-02-03 12:15:38 data_collection show Conzatti Anna ac2789@bath.ac.uk 0000-0003-2549-0424 University of Bath; Cardiff Metropolitan University TRUE Kuchai Noorullah N.Kuchai@bath.ac.uk 0000-0003-1773-3051 University of Bath FALSE Keser Elif ek769@bath.ac.uk University of Bath FALSE Albadra Dima D.Albadra@bath.ac.uk 0000-0001-5274-0834 University of Bath FALSE Coley David dac33@bath.ac.uk 0000-0001-5744-1809 University of Bath FALSE Dataset for "Co-creation of an airflow and COVID-19 transmission risk model for shelter design" DK0020 DK0030 DK0040 DK0060 DY0010 GS0060 dept_civ_eng shelter design, sheltair, natural ventilation 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. 2026-02-01 University of Bath restricted RightsHolder University of Bath University of Bath https://doi.org/10.13039/501100000835 McIntyre Scholarship in Healthy Housing cent_renew 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. 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. en 1 10.15125/BATH-01434 https://doi.org/10.1016/j.indenv.2026.100154 pub request Due to the nature of the consent obtained, the data may only be accessed by bona fide researchers. Dataset