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British Red Cross COVID-19 vulnerability index for the UK

The COVID-19 vulnerability index combines multiple sources of (mostly) open data to identify vulnerable areas and groups within Local Authorities and neighbourhoods (wards).

The Index currently maps clinical vulnerability (underlying health conditions), demographic vulnerability (over-70s, people seeking asylum), social vulnerability (barriers to housing and services, poor living environment, living in “left-behind” areas, loneliness, digital exclusion), and health inequalities.

Other vulnerabilities being added include:

  • Mental health
  • Economic vulnerability
  • Social isolation
  • Physical isolation from supermarkets, pharmacies

There's more information about our approach, current indicators and data sources, and forthcoming vulnerabilities in this open document.

Using the vulnerability index

Map of vulnerability in Local Authorities: https://britishredcrosssociety.github.io/covid-19-vulnerability/lad.html

Map of vulnerabilty in wards: https://britishredcrosssociety.github.io/covid-19-vulnerability

If you don't want to grapple with the code, we've already produced several outputs (descriptions of the variables are available here):

Running the code / recreating the index

You'll need to install R and ideally RStudio. Run the following to install all necessary packages:

install.packages(c("tidyverse", "readxl", "janitor", "xml2", "Hmisc", "sf", "httr", "classInt"))

Run the code in create vulnerability index.r to create the overall index. Set reproduce_data = TRUE on line 10 if you want to recreate the underlying indicators. See the individual prep *indicator*.r files for the code to produce the underlying vulnerability indicators.

Credits

Designed and developed by Matt Thomas and Ellen Gordon at the British Red Cross.

With contributions from

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Prototype COVID-19 vulnerability index, modelling clinical vulnerability and social vulnerability

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