The new interactive map released last week by experts from the University of Oxford is designed to calculate the number of individuals at risk of COVID-19 hospitalization if there was a second wave.

It shows that Poynton could be hit hard with approximately 10 – 12.2 expected hospitalisations per 1,000 people. For Cheshire, expected hospitalisations per 1,000 people is 8.5.

University of Oxford / Leverhulme Centre for Demographic Science / Nuffield College, Oxford, UK. https://livedataoxford.shinyapps.io/COVID19-DemRisk/_w_4aff073c/_w_9f79b894/#tab-9425-1

The data combines census estimates and hospital capacity data from ONS and NHS at the Administrative Region, Ceremonial Country (CC), Clinical Commissioning Group (CCG) and Lower Layer Super Output Area (LSOA) level from England and Wales.

By combining the multiple data sources, they produce geospatial risk maps on an online dashboard that dynamically illustrate how the pre-crisis health system capacity matches local variations in hospitalization risk related to age, social deprivation, population density and ethnicity, also adjusting for the overall infection rate and hospital capacity.

The map that also allows you to compare regions is available here: https://livedataoxford.shinyapps.io/COVID19-DemRisk/_w_4aff073c/_w_9f79b894/#tab-9425-1

Source: University of Oxford / Leverhulme Centre for Demographic Science / Nuffield College, Oxford, UK