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Publications

Journal Article Review Epublish 1 citation

PubMed: 39595699 DOI: 10.3390/ijerph21111432

A Narrative Review of High Throughput Wastewater Sample Processing for Infectious Disease Surveillance: Challenges, Progress, and Future Opportunities.

Int J Environ Res Public Health 21(11)

Authors: Bhuvanesh Kumar Shanmugam, Maryam Alqaydi, Degan Abdisalam, Monika Shukla, Helio Santos, Ranya Samour, Lawrence Petalidis, Charles Matthew Oliver, Grzegorz Brudecki, Samara Bin Salem, Wael Elamin

Affiliations

  • RASID Laboratory, M42 Healthcare, Abu Dhabi P.O. Box 4200, United Arab Emirates.
  • Mubadala Health-Dubai, Dubai P.O. Box 26699, United Arab Emirates.
  • Abu Dhabi Quality and Conformity Council (ADQCC), Abu Dhabi P.O. Box 2282, United Arab Emirates.

Abstract

During the recent COVID-19 pandemic, wastewater-based epidemiological (WBE) surveillance played a crucial role in evaluating infection rates, analyzing variants, and identifying hot spots in a community. This expanded the possibilities for using wastewater to monitor the prevalence of infectious diseases. The full potential of WBE remains hindered by several factors, such as a lack of information on the survival of pathogens in sewage, heterogenicity of wastewater matrices, inconsistent sampling practices, lack of standard test methods, and variable sensitivity of analytical techniques. In this study, we review the aforementioned challenges, cost implications, process automation, and prospects of WBE for full-fledged wastewater-based community health screening. A comprehensive literature survey was conducted using relevant keywords, and peer reviewed articles pertinent to our research focus were selected for this review with the aim of serving as a reference for research related to wastewater monitoring for early epidemic detection.

MeSH

Environmental Exposure, Automation, Research, Artificial Intelligence, Communicable Diseases

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