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

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.

Visitors of the Dutch drug checking services: Profile and drug use experience.

BACKGROUND: Drug checking services (DCS) provide information about drug content and purity, alongside personalized feedback, to people who use drugs; however, the demographic and drug use characteristics of DCS clients are rarely reported. This paper describes these characteristics for clients of the Dutch DCS, the Drug Information and Monitoring System (DIMS). METHODS: 1,530 participants completed a pen-and-paper questionnaire at one of eight participating DCS in the Netherlands in 2018. RESULTS: The participants were mostly highly educated males in their twenties with no migration background. Experience with drugs prior to coming to the DCS was common. Only 0.7% indicated they had never used any of the twenty drugs studied. 93% of participants reported use of ecstasy or MDMA with an average of 6.3 years since first use. CONCLUSIONS: These results indicate that drug checking can be a valuable tool for public health services as it facilitates access to more difficult-to-reach communities who use drugs. It is unlikely that DCS encourage drug initiation, since almost all people who visit the Dutch DCS already report experience with drugs. However, DCS should be aware that their services might not be easily accessible or attractive to all demographic groups.