COvid-19 Transmission Risk Assessment Case Studies - education Establishments

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:15 publications

Grant number: EP/W001411/1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2022
  • Known Financial Commitments (USD)

    $1,085,594.08
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Paul Linden
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Cambridge
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Schools are planning to re-open in September and with the recent increased awareness of airborne transmission of Covid-19, there is an urgent need to monitor the situation and to provide guidance on ventilation best practice. This is emphasised by the expected onset of cooler weather when there will be a conflict between maintaining high fresh air ventilation flows and energy consumption and occupant comfort. We will quantify the risk of airborne COVID-19 transmission in schools and evaluate the effectiveness of mitigation measures, by developing techniques to assess the absolute risk of infection in a given indoor space, using field studies in primary and secondary schools, complemented by laboratory experiments and CFD to elucidate the flow patterns responsible for airborne transport. The understanding generated will underpin recent developments in infection modelling to predict the likelihood of airborne transmission within schools. The project will reduce the uncertainties associated with airborne transmission routes and provide evidence to evaluate mitigation measures. The scenarios we will investigate include changes to ventilation, use of screens, classroom lay-out and occupancy profiles. The methodology will facilitate application to offices, restaurants, shops etc. Airborne infection occurs through re-breathed air, the concentration of which can be directly inferred from measurements of CO2. Indoor flow is strongly affected by the locations of windows or vents, the heat rising from occupants/equipment and disturbances caused by people movement. Thus, accurate representations of these processes in the laboratory and CFD are needed to interpret the monitoring data currently collected in schools, which are typically single point measurements.

Publicationslinked via Europe PMC

Particulate matter concentrations in UK schools: A nationwide study into the influence of ambient PM<sub>2.5</sub> and the resulting exposure potentials.

Uncertainties in exposure predictions arising from point measurements of carbon dioxide in classroom environments.

Enhancing spatial inference of air pollution using machine learning techniques with low-cost monitors in data-limited scenarios.

Evaluating the Performance of Low-Cost PM2.5 Sensors in Mobile Settings.

Air quality and mental health: evidence, challenges and future directions.

The underpinning factors affecting the classroom air quality, thermal comfort and ventilation in 30 classrooms of primary schools in London.

A parent-school initiative to assess and predict air quality around a heavily trafficked school.

Impact of ionizers on prevention of airborne infection in classroom.

Interventions for improving indoor and outdoor air quality in and around schools.