Consumer Data Research Centre (CDRC)

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:53 publications

Grant number: ES/L011840/1

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Key facts

  • Disease

  • Funder

    UK Research and Innovation (UKRI)
  • Principle Investigator

  • Research Location

    United Kingdom, Europe
  • Lead Research Institution

    University of Liverpool
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Other secondary impacts

  • Special Interest Tags


  • Study Subject


  • Clinical Trial Details


  • Broad Policy Alignment


  • Age Group


  • Vulnerable Population


  • Occupations of Interest



Prof. Alex Singleton, Jacob MacDonald and Alessia Calafiore at University of Liverpool has completed a review looking at the impact of changes in mobility patterns as a result of lockdown and how this has impacted air pollution (Decomposing Daily Regional Pollution and Human Mobility Patterns Under UK COVID-19 Stay-at-Home). This work explores the relationship between combustion-based pollution (NO, NO2, NOx) and the relative space-time signature of human mobility patterns under the lens of the recent global COVID-19 pandemic. With mass stay-at-home orders enacted, the movement patterns in and around local points of interest have changed - bringing with it changes in transportation mode use and frequency, among other things. The nature of this shift has led to significant drops in regional pollution levels across the UK, yet quantifying the varying contributions from different human activities to this decrease is challenged by the complexity of pollution patterns across different dimensions.

Publicationslinked via Europe PMC

Last Updated:40 minutes ago

View all publications at Europe PMC

How consumer behaviours changed in response to COVID-19 lockdown stringency measures: A case study of Walmart.

Who is returning to public transport for non-work trips after COVID-19? Evidence from older citizens' smart cards in the UK's second largest city region.

An interpretable machine learning framework for measuring urban perceptions from panoramic street view images.

Tracking Changes in Mobility Before and After the First SARS-CoV-2 Vaccination Using Global Positioning System Data in England and Wales (Virus Watch): Prospective Observational Community Cohort Study.

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic.

Changes in life expectancy and house prices in London from 2002 to 2019: hyper-resolution spatiotemporal analysis of death registration and real estate data.

Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study.