Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands.

Autor:	Coyer L; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands. lcoyer@ggd.amsterdam.nl.; Department of Infectious Diseases, Amsterdam institute for Infection and Immunity (AII), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. lcoyer@ggd.amsterdam.nl., Wynberg E; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands., Buster M; Department of Epidemiology, Health Promotion and Care Innovation, Public Health Service of Amsterdam, Amsterdam, The Netherlands., Wijffels C; Department of Epidemiology, Health Promotion and Care Innovation, Public Health Service of Amsterdam, Amsterdam, The Netherlands., Prins M; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands.; Department of Infectious Diseases, Amsterdam institute for Infection and Immunity (AII), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands., Schreijer A; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands., van Duijnhoven YTHP; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands., van Dam AP; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands., van der Lubben M; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands., Leenstra T; Department of Infectious Diseases, Public Health Service of Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands.
Jazyk:	angličtina
Zdroj:	BMC public health [BMC Public Health] 2021 Sep 22; Vol. 21 (1), pp. 1721. Date of Electronic Publication: 2021 Sep 22.
DOI:	10.1186/s12889-021-11782-w
Abstrakt:	Background: It is important to gain insight into the burden of COVID-19 at city district level to develop targeted prevention strategies. We examined COVID-19 related hospitalisations by city district and migration background in the municipality of Amsterdam, the Netherlands. Methods: We used surveillance data on all PCR-confirmed SARS-CoV-2 hospitalisations in Amsterdam until 31 May 2020, matched to municipal registration data on migration background. We calculated directly standardised (age, sex) rates (DSR) of hospitalisations, as a proxy of COVID-19 burden, per 100,000 population by city district and migration background. We calculated standardised rate differences (RD) and rate ratios (RR) to compare hospitalisations between city districts of varying socio-economic and health status and between migration backgrounds. We evaluated the effects of city district and migration background on hospitalisation after adjusting for age and sex using Poisson regression. Results: Between 29 February and 31 May 2020, 2326 cases (median age 57 years [IQR = 37-74]) were notified in Amsterdam, of which 596 (25.6%) hospitalisations and 287 (12.3%) deaths. 526/596 (88.2%) hospitalisations could be matched to the registration database. DSR were higher in individuals living in peripheral (South-East/New-West/North) city districts with lower economic and health status, compared to central districts (Centre/West/South/East) (RD = 36.87,95%CI = 25.79-47.96;RR = 1.82,95%CI = 1.65-1.99), and among individuals with a non-Western migration background compared to ethnic-Dutch individuals (RD = 57.05,95%CI = 43.34-70.75; RR = 2.36,95%CI = 2.17-2.54). City district and migration background were independently associated with hospitalisation. Conclusion: City districts with lower economic and health status and those with a non-Western migration background had the highest burden of COVID-19 during the first wave of COVID-19 in Amsterdam. (© 2021. The Author(s).)
Databáze:	MEDLINE
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