SheltAir. Co-created airflow and COVID-19 transmission risk model for shelter design.

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SheltAir_V3.xlsx

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http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18349 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18349 http://eprints.org/relation/issmallThumbnailVersionOf https://researchdata.bath.ac.uk/id/document/18349 archive 11570 disk0/00/00/14/39 2026-05-11 10:07:23 2026-05-16 04:56:41 2026-05-11 10:07:23 data_collection show Conzatti Anna ac2789@bath.ac.uk 0000-0003-2549-0424 University of Bath; Cardiff Metropolitan University TRUE Fosas Daniel d.fosas@ed.ac.uk 0000-0001-8407-3431 University of Bath FALSE 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 Supervisor Coley David dac33@bath.ac.uk 0000-0001-5744-1809 University of Bath Supervisor Fosas Daniel d.fosas@ed.ac.uk 0000-0001-8407-3431 University of Bath Supervisor Kershaw Tristan T.J.Kershaw@bath.ac.uk 0000-0003-2148-5396 University of Bath Supervisor Copping Alexander A.G.A.Copping@bath.ac.uk 0000-0002-7276-0936 University of Bath Other Rijal Hom Bahadur 0000-0002-5876-6493 Tokyo City University Other Kuchai Noorullah N.Kuchai@bath.ac.uk 0000-0003-1773-3051 University of Bath Prof. Hom Bahadur Rijal SheltAir. Co-created airflow and COVID-19 transmission risk model for shelter design. CP0010 DK0010 DK0020 DK0030 DK0040 DK0060 DY0010 EJ0010 GS0060 JZ0010 dept_civ_eng shelter desing, indoor air quality, natural ventialtion, health For information on how to use the tool, please consult the README sheet it contains. SheltAir is the first tool co-created with aid workers to model natural ventilation in shelters for displaced populations. Developed by Anna Conzatti during her PhD research at the University of Bath, SheltAir addresses the critical issue of poor indoor air quality (IAQ) and the spread of airborne diseases in shelters. SheltAir is an Excel-based tool that employs simplified airflow equations to model natural ventilation and IAQ. The tool also implements a COVID-19 transmission model. SheltAir requires only 20 inputs and provides results in less than 30 minutes, making it accessible even to non-experts. Key features include: • Simplified Airflow Models: Utilizes simplified equations8 to calculate ventilation rates based on CO2 levels. • Occupant Behavior: Incorporates behavioural data to enhance accuracy in predicting IAQ. • COVID-19 Transmission Risk: Includes a model9 to assess the risk of airborne disease transmission in shelters. SheltAir can simulate five ventilation strategies using different schedules for single-room shelters in 3000 locations worldwide, making it versatile for various scenarios. It offers outputs into indoor CO2 levels for different seasons and evaluates COVID-19 transmission risks, helping designers make informed decisions to improve living conditions in shelters. SheltAir addresses poor IAQ in shelters, reducing health risks associated with inadequate ventilation and indoor activities. It aims to improve the living conditions for displaced populations, especially vulnerable groups like children and the elderly. Its user-friendly design empowers human- itarian workers and shelter designers to implement effective ventilation strategies without specialised expertise, leading to global improvements in shelter conditions and significantly benefiting displaced communities. 2026-02-01 University of Bath public https://www.youtube.com/embed/n_kNkuetVgY?start=64 RightsHolder University of Bath McIntyre Scholarship in Healthy Housing cent_renew SheltAir was developed through a co-creative methodology. This method included a detailed examination of mathematical models for natural ventilation, a monitoring campaign in Japan, and extensive collaboration with shelter designers, aid workers, and NGOs. This co-creative approach ensures that SheltAir is based on sound scientific principles and practical insights. This tool has been developed using Python coding and Excel. For best results, the tool should be opened in MS Excel 2016+ on Windows. en 1 10.15125/BATH-01439 https://doi.org/10.1016/j.indenv.2026.100154 pub https://doi.org/10.15125/BATH-01434 data open Dataset