Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands
Abstract 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...
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| Format: | Article |
| Language: | English |
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BMC
2021-09-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-021-11782-w |
| _version_ | 1818443929239945216 |
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| author | Liza Coyer Elke Wynberg Marcel Buster Camiel Wijffels Maria Prins Anja Schreijer Yvonne T. H. P. van Duijnhoven Alje P. van Dam Mariken van der Lubben Tjalling Leenstra |
| author_facet | Liza Coyer Elke Wynberg Marcel Buster Camiel Wijffels Maria Prins Anja Schreijer Yvonne T. H. P. van Duijnhoven Alje P. van Dam Mariken van der Lubben Tjalling Leenstra |
| author_sort | Liza Coyer |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-14T19:07:51Z |
| format | Article |
| id | doaj.art-68d70e2f08d24e799979bf5baef80397 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-14T19:07:51Z |
| publishDate | 2021-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-68d70e2f08d24e799979bf5baef803972022-12-21T22:50:48ZengBMCBMC Public Health1471-24582021-09-012111910.1186/s12889-021-11782-wHospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The NetherlandsLiza Coyer0Elke Wynberg1Marcel Buster2Camiel Wijffels3Maria Prins4Anja Schreijer5Yvonne T. H. P. van Duijnhoven6Alje P. van Dam7Mariken van der Lubben8Tjalling Leenstra9Department of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Epidemiology, Health Promotion and Care Innovation, Public Health Service of AmsterdamDepartment of Epidemiology, Health Promotion and Care Innovation, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamDepartment of Infectious Diseases, Public Health Service of AmsterdamAbstract 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.https://doi.org/10.1186/s12889-021-11782-wSARS-CoV-2COVID-19HospitalisationEthnicityGeographicalSocio-economic status |
| spellingShingle | Liza Coyer Elke Wynberg Marcel Buster Camiel Wijffels Maria Prins Anja Schreijer Yvonne T. H. P. van Duijnhoven Alje P. van Dam Mariken van der Lubben Tjalling Leenstra Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands BMC Public Health SARS-CoV-2 COVID-19 Hospitalisation Ethnicity Geographical Socio-economic status |
| title | Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands |
| title_full | Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands |
| title_fullStr | Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands |
| title_full_unstemmed | Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands |
| title_short | Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands |
| title_sort | hospitalisation rates differed by city district and ethnicity during the first wave of covid 19 in amsterdam the netherlands |
| topic | SARS-CoV-2 COVID-19 Hospitalisation Ethnicity Geographical Socio-economic status |
| url | https://doi.org/10.1186/s12889-021-11782-w |
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