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Eur J Public Health . To what extent did mortality from COVID-19 in England and Wales differ for migrants compared to non-migrants in 2020 and 2021

tetano

Editor, Senior Moderator
Eur J Public Health


. 2024 Oct 16:ckae142.
doi: 10.1093/eurpub/ckae142. Online ahead of print. To what extent did mortality from COVID-19 in England and Wales differ for migrants compared to non-migrants in 2020 and 2021? A descriptive, observational study

Lucinda Hiam[SUP] 1 [/SUP], Jon Minton[SUP] 2 [/SUP], Rachel Burns[SUP] 3 [/SUP], Martin McKee[SUP] 4 [/SUP], Robert W Aldridge[SUP] 5 [/SUP]



Affiliations
Abstract

Seventeen percent of people living in the UK are migrants. In high-income countries, migrants have been shown to have better all-cause mortality but worse mortality for some specific causes such as infectious diseases. This observational study aims to quantify the extent to which mortality from coronavirus disease 2019 (COVID-19) differed between migrants and non-migrants for the population of England and Wales, 2020-2021. We use Official National Statistics data to compare mortality from COVID-19 in 2020 and 2021 by country/region of birth, expressed as the standardized mortality ratio with those born in England and Wales as the reference population. Migrants from 17 of 19 countries/regions examined had higher mortality from COVID-19 than non-migrants. The highest mortality was those born in Bangladesh (females SMR = 3.39, 95% CIs 3.09-3.71; males 4.41, 95% CIs 4.09-4.75); Pakistan (females 2.73, 95% CIs 2.59-2.89; males 3.02, 95% CIs 2.89-3.14); and the Caribbean (females 2.03, 95% CIs 1.87-2.20; males 2.48, 95% CIs 2.37-2.60). Migrants born in Antarctica and Oceania (females 0.54, 95% CI 0.42-0.40; males 0.71, 95% CI 0.51-0.88), and North and Central America (females 0.95, 95% CI 0.80-1.11; males 0.85, 95% CI 0.72-0.99) had lower mortality than non-migrants. Most migrant populations had higher mortality from COVID-19 than non-migrants in England and Wales. Policy-makers must work to integrate migration status into routine data collection to inform future research and understand the causes of the inequalities seen.


 
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