Applying indoor air quality sensors to hospital ventilation and climate decision-making

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Loh, Miranda and Christopher, Emily and Farooq, Muhammad Zaeem and McGill, Grainne and Carson, Fiona and Patel, Manish and Clements, Suzanne and Sharpe, Tim (2026) Applying indoor air quality sensors to hospital ventilation and climate decision-making. In: Indoor air 2026: Enhancing Wellbeing in Existential Challenges, 2026-06-14 - 2026-06-18, Singapore Management University.

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Abstract

The SENSE-HEALTH study evaluated the use of air quality sensors to enhance decisions around ventilation in hospitals. Sensors were placed in various patient care and staff workspaces to evaluate CO2, temperature, humidity, particulate matter, and total VOCs. A preliminary threshold of 1000 ppm CO2 was used to indicate when a space should be more closely examined. During April - October 2025, higher occupancy bedrooms, consultation rooms, and some staff areas had the highest number of hours exceeding 1000 ppm, particularly in the afternoons, with levels increasing in the autumn. Sensors indicated risk of overheating, which was noted as a concern by staff from qualitative interviews. There was interest in the use of sensors to improve environmental decision making, with appropriate consideration for data interpretation and dissemination.

ORCID iDs

Loh, Miranda, Christopher, Emily, Farooq, Muhammad Zaeem ORCID logoORCID: https://orcid.org/0009-0009-6520-2096, McGill, Grainne ORCID logoORCID: https://orcid.org/0000-0002-8716-9567, Carson, Fiona, Patel, Manish, Clements, Suzanne and Sharpe, Tim ORCID logoORCID: https://orcid.org/0000-0002-4275-5351;
  • Item type:Conference or Workshop Item(Paper)
    ID code:96729
    Dates:
    Date
    Event
    17 June 2026
    Published
    Subjects:Fine Arts > Architecture
    Department:Faculty of Engineering > Architecture
    Depositing user: Pure Administrator
    Date deposited:08 Jul 2026 14:45
    Last modified:12 Aug 2026 00:22
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/96729
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