Visualising high risk areas for
Posted: Sat Feb 08, 2025 4:01 am
Colin Angus recently demonstrated various visualisations that he had created for Covid-19 mortality on Twitter. Here he elaborates on his approach to this work.
Sometimes the best and most interesting ideas come from seeing a new application of other people’s work.
By mid-March, emerging data from Northern qatar rcs data Italy clearly showed that COVID-19 fatality rates were substantially higher in older age groups, particularly for men. Demographers Ilya Kashnitsky and José Aburto combined this data with data from EUROSTAT on the age-sex distribution of the population across European regions and published a fascinating pre-print.
This displayed the potential risk that each area faced from a large-scale COVID-19 outbreak. Areas with large populations of older men, such as parts of former East Germany, faced an expected mortality rate more than four times greater than areas with younger, more female populations, such as south-eastern Turkey.
We are blessed in the UK with some wonderfully rich data, including estimates of the population structure at very low levels of geography, right down to Lower Super Output Area (LSOA) level. I thought it would be interesting to replicate this approach to calculate potential COVID-19 exposure for LSOAs in England.
Sometimes the best and most interesting ideas come from seeing a new application of other people’s work.
By mid-March, emerging data from Northern qatar rcs data Italy clearly showed that COVID-19 fatality rates were substantially higher in older age groups, particularly for men. Demographers Ilya Kashnitsky and José Aburto combined this data with data from EUROSTAT on the age-sex distribution of the population across European regions and published a fascinating pre-print.
This displayed the potential risk that each area faced from a large-scale COVID-19 outbreak. Areas with large populations of older men, such as parts of former East Germany, faced an expected mortality rate more than four times greater than areas with younger, more female populations, such as south-eastern Turkey.
We are blessed in the UK with some wonderfully rich data, including estimates of the population structure at very low levels of geography, right down to Lower Super Output Area (LSOA) level. I thought it would be interesting to replicate this approach to calculate potential COVID-19 exposure for LSOAs in England.