The same method also enables us to assess the additional contribution of inequality during the COVID-19 pandemic in 2020 and, by comparing this with figures used by OHID to monitor excess mortality in area quintiles during the pandemic, to assess how many excess deaths in 2020 were associated with the pre-existing trend in mortality due to inequality. [...] As Figure 1 shows, the more deprived the area in which they lived, the greater the excess number of deaths – around two fifths of the total excess occurred in the most deprived fifth (20 percent of areas) of areas and three fifths in the two fifths (40 percent of areas) of areas that were most deprived. [...] First death rates are lower in the least deprived decile than in the second least deprived decile, as there is a gradient in mortality by area decile, and rates in the least deprived quintile are an average of the rates in the two least deprived decile. [...] As Figure 3 shows, the more deprived the area in which they lived, the greater the excess number of deaths – around a fifth of the total excess occurred in the most deprived tenth of areas and over half the excess was in the 30 percent of areas that were most deprived. [...] It is evident from this formula that excess deaths can also be calculated by subtracting death rates for the least deprived quintile or decile from the comparable rates for the quintile or decile in question and multiplying the answer by the relevant population of the quintile or decile in question, namely replacing the formula on the right by: Σ[(rn(i,j,k)-(r10(i,j,k))xpn(i,j,k))] where: rn(i,j,k.
- Pages
- 9
- Published in
- United Kingdom
