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.