Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness
Rattachement africain : gb, nl, at, ch, Afrique du Sud. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Wastewater-based epidemiology is the detection of pathogens from sewage systems and the interpretation of these data to improve public health. Its use has increased in scope since 2020, when it was demonstrated that SARS-CoV-2 RNA could be successfully extracted from the wastewater of affected populations. In this Perspective we provide an overview of recent advances in pathogen detection within wastewater, propose a framework for identifying the utility of wastewater sampling for pathogen detection and suggest areas where analytics require development. Ensuring that both data collection and analysis are tailored towards key questions at different stages of an epidemic will improve the inference made. For analyses to be useful we require methods to determine the absence of infection, early detection of infection, reliably estimate epidemic trajectories and prevalence, and detect novel variants without reliance on consensus sequences. This research area has included many innovations that have improved the interpretation of collected data and we are optimistic that innovation will continue in the future. • We highlight innovative methods within wastewater that have improved pathogen detection or the ease of implementation. • A flowchart is described that supports decisions on using wastewater data for the detection of a new pathogen. • Using the phases of an epidemic we provide perspectives on analytical topics that require improvement, from early detection to pathogen diversity.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness
- Date Crossref
- 01/06/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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