ArticleHealth & place2021
Infection rates from Covid-19 in Great Britain by geographical units: A model-based estimation from mortality data.
Article in Health & place, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases.Diagnostics (Basel, Switzerland) · 2025Article
- Social inequalities in SARS-CoV-2 infection in high income countries: highlighting the need for an intersectional perspective in quantitative research.Frontiers in public health · 2025Review
- Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence.Human vaccines & immunotherapeutics · 2024Article
- Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data.BMC medical informatics and decision making · 2024Article
- A Bayesian spatio-temporal model of COVID-19 spread in England.Scientific reports · 2024Article
- Regional variation of COVID-19 admissions, acute kidney injury and mortality in England - a national observational study using administrative data.BMC infectious diseases · 2024Observational
- Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia.Scientific reports · 2024Article
- The spread in time and space of COVID-19 pandemic waves: the Italian experience from mortality data analyses.Frontiers in public health · 2024Article
- Areas of enduring COVID-19 prevalence: drivers of prevalence and mitigating strategies.BMC public health · 2023Article
- Article
- What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.Sustainable cities and society · 2022Article
- Police, permits and politics: Navigating life on Australia's state borders during the COVID-19 pandemic.The Australian journal of rural health · 2022Article
- Article
- Using Andersen's model of health care utilization to assess factors associated with COVID-19 testing among adults in nine low-and middle-income countries: an online survey.BMC health services research · 2022Article
- Adults' Acceptance of COVID-19 Vaccine for Children in Selected Lower- and Middle-Income Countries.Vaccines · 2021Article
- The importance of saturating density dependence for population-level predictions of SARS-CoV-2 resurgence compared with density-independent or linearly density-dependent models, England, 23 March to 31 July 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021Article
- Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel.Health & place · 2021Article
- COVID-19, the Built Environment, and Health.Environmental health perspectives · 2021Article
- The interaction of ethnicity and deprivation on COVID-19 mortality risk: a retrospective ecological study.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study estimates cumulative infection rates from Covid-19 in Great Britain by local authority districts (LADs) and council areas (CAs) and investigates spatial patterns in infection rates. We propose a model-based approach to calculate cumulative infection rates from data on observed and expected deaths from Covid-19. Our analysis of mortality data shows that 7% of people in Great Britain were infected by Covid-19 by the last third of June 2020. It is unlikely that the infection rate was lower than 4% or higher than 15%. Secondly, England had higher infection rates than Scotland and especially Wales, although the differences between countries were not large. Thirdly, we observed a substantial variation in virus infection rates in Great Britain by geographical units. Estimated infection rates were highest in the capital city of London where between 11 and 12% of the population might have been infected and also in other major urban regions, while the lowest were in small towns and rural areas. Finally, spatial regression analysis showed that the virus infection rates increased with the increasing population density of the area and the level of deprivation. The results suggest that people from lower socioeconomic groups in urban areas (including those with minority backgrounds) were most affected by the spread of coronavirus from March to June.
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