Evidence map›Paper›PMID 35427945›Full record

ArticleThe International journal on drug policy2022

Temporal monitoring of stimulants during the COVID-19 pandemic in Belgium through the analysis of influent wastewater.

Tim Boogaerts, Maarten Quireyns, Maarten De Prins, Bram Pussig, Hans De Loof, Catharina Matheï, Bert Aertgeerts, Virginie Van Coppenolle, Erik Fransen, Adrian Covaci and 1 more

Abstract read
In one paragraph

Article in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tim BoogaertsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium. Electronic address: Tim.Boogaerts@uantwerpen.be.
Maarten QuireynsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
Maarten De PrinsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
Bram PussigAcademisch Centrum voor Huisartsengeneeskunde, Department of Public Health and primary Care, KU Leuven, Kapucijnenvoer 7, 3000 Leuven, Belgium.
Hans De LoofLaboratory of Physiopharmacology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
Catharina MatheïAcademisch Centrum voor Huisartsengeneeskunde, Department of Public Health and primary Care, KU Leuven, Kapucijnenvoer 7, 3000 Leuven, Belgium.
Bert AertgeertsAcademisch Centrum voor Huisartsengeneeskunde, Department of Public Health and primary Care, KU Leuven, Kapucijnenvoer 7, 3000 Leuven, Belgium.
Virginie Van CoppenolleCropland, Willem van Laarstraat 86, 2600 Berchem, Belgium.
Erik FransenStatUa Core facility, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
Adrian CovaciToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
Alexander L N van NuijsToxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium. Electronic address: Alexander.vannuijs@uantwerpen.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsWastewater-based epidemiology (WBE) is a complementary epidemiological data source to monitor stimulant consumption. The aims were to: (i) study intra- and inter-year temporal changes in stimulant use in Belgium during the first wave of the COVID-19 pandemic; and (ii) evaluate the effect of COVID-19 restrictive measures on stimulant consumption.

methodsThe study population corresponded to the catchments of four wastewater treatment plants corresponding with four Belgian cities (i.e., Antwerp-Zuid, Boom, Brussels, Leuven). Daily 24-h composite influent wastewater samples collected over one week in September 2019 and March through June 2020 during the first wave of the COVID-19 pandemic were analyzed for biomarkers of amphetamine, cocaine, methamphetamine and 3,4-methylenedioxymethamphetamine (MDMA). Measured concentrations were converted to population-normalized mass loads by considering the daily flow rate and the catchment population size. Mobile network data was used to accurately capture population movements in the different catchment areas. Temporal changes were assessed with multiple linear regression models, and the effect of the COVID-19 interventions on stimulant consumption were investigated.

resultsAn increase in amphetamine use was observed in three cities during governmental restrictions, with highest consumption predominantly during lockdown. Similarly, cocaine consumption was higher after the pandemic started, with highest consumption noted during the lockdown period in Boom and Leuven. Consumption of MDMA was similar in Antwerp-Zuid, Brussels and Leuven throughout the entire sampled period. In Boom, the highest consumption was observed during the full lockdown period.

conclusionsThe present study shows the potential of WBE to assess the impact of stringent lockdown measures on stimulant use in Belgium. This paper shows that strong restrictive measures did not have a profound effect on stimulant consumption.

Indexed as

Central Nervous System StimulantsCocaineCOVID-19N-Methyl-3,4-methylenedioxyamphetamineAmphetaminesBelgiumCommunicable Disease ControlHumansPandemicsSubstance Abuse DetectionWastewaterAmphetaminesCentral Nervous System StimulantsCocaineN-Methyl-3,4-methylenedioxyamphetamineWastewaterConsumptionCOVID-19 interventionsLockdownStimulantsTemporal analysisWastewater-based epidemiology

Identifiers

PMID35427945
PMCPMC8977453

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.