Small-scale wastewater-based epidemiology (WBE) for infectious diseases and antibiotic resistance: A scoping review.

Antimicrobial resistance Building Neighborhood Public health Virus Wastewater surveillance

Journal

International journal of hygiene and environmental health
ISSN: 1618-131X
Titre abrégé: Int J Hyg Environ Health
Pays: Germany
ID NLM: 100898843

Informations de publication

Date de publication:
15 Apr 2024
Historique:
received: 12 01 2024
revised: 25 03 2024
accepted: 08 04 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 16 4 2024
Statut: aheadofprint

Résumé

Wastewater analysis can serve as a source of public health information. In recent years, wastewater-based epidemiology (WBE) has emerged and proven useful for the detection of infectious diseases. However, insights from the wastewater treatment plant do not allow for the small-scale differentiation within the sewer system that is needed to analyze the target population under study in more detail. Small-scale WBE offers several advantages, but there has been no systematic overview of its application. The aim of this scoping review is to provide a comprehensive overview of the current state of knowledge on small-scale WBE for infectious diseases, including methodological considerations for its application. A systematic database search was conducted, considering only peer-reviewed articles. Data analyses included quantitative summary and qualitative narrative synthesis. Of 2130 articles, we included 278, most of which were published since 2020. The studies analyzed wastewater at the building level (n = 203), especially healthcare (n = 110) and educational facilities (n = 80), and at the neighborhood scale (n = 86). The main analytical parameters were viruses (n = 178), notably SARS-CoV-2 (n = 161), and antibiotic resistance (ABR) biomarkers (n = 99), often analyzed by polymerase chain reaction (PCR), with DNA sequencing techniques being less common. In terms of sampling techniques, active sampling dominated. The frequent lack of detailed information on the specification of selection criteria and the characterization of the small-scale sampling sites was identified as a concern. In conclusion, based on the large number of studies, we identified several methodological considerations and overarching strategic aspects for small-scale WBE. An enabling environment for small-scale WBE requires inter- and transdisciplinary knowledge sharing across countries. Promoting the adoption of small-scale WBE will benefit from a common international conceptualization of the approach, including standardized and internationally accepted terminology. In particular, the development of good WBE practices for different aspects of small-scale WBE is warranted. This includes the establishment of guidelines for a comprehensive characterization of the local sewer system and its sub-sewersheds, and transparent reporting to ensure comparability of small-scale WBE results.

Identifiants

pubmed: 38626689
pii: S1438-4639(24)00060-9
doi: 10.1016/j.ijheh.2024.114379
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

114379

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier GmbH.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing interest Declarations of interest: none. No specific funding was received for this research.

Auteurs

Dennis Schmiege (D)

Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany. Electronic address: dennis.schmiege@uk-essen.de.

Timo Haselhoff (T)

Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany.

Alexander Thomas (A)

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany.

Ivana Kraiselburd (I)

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany.

Folker Meyer (F)

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131, Essen, Germany.

Susanne Moebus (S)

Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130, Essen, Germany.

Classifications MeSH