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Dataset Information

Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics.


ABSTRACT:

Introduction

Wastewater-based surveillance (WBS) is an emerging tool for monitoring the spread of infectious diseases, such as SARS-CoV-2, in community settings. Environmental factors, including water quality parameters and seasonal variations, may influence the prevalence of viral particles in wastewater. This study aims to explore the relationships between these factors and the incidence of SARS-CoV-2 across 28 monitoring sites, spanning different seasons and water strata.

Methods

Samples were collected from 28 sites, accounting for seasonal and spatial (surface and intermediate water layers) variations. Key physicochemical parameters, heavy metals, and minerals were measured, and viral presence was detected using RT-qPCR. After data preprocessing, correlation analyses ide

SUBMITTER: Gogoi G 

PROVIDER: S-EPMC11625583 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature