Methodological differences between studies confound one-size-fits-all approaches to managing surface waterways for food and water safety.

ABSTRACT: Even though differences in methodology (e.g., sample volume and detection method) have been shown to affect observed microbial water quality, multiple sampling and laboratory protocols continue to be used for water quality monitoring. Research is needed to determine how these differences impact the comparability of findings to generate best management practices and the ability to perform meta-analyses. This study addresses this knowledge gap by compiling and analyzing a data set representing 2,429,990 unique data points on at least one microbial water quality target (e.g., Salmonella presence and Escherichia coli concentration). Variance partitioning analysis was used to quantify the variance in likelihood of detecting each pathogenic target that was uniquely and jointly attr

SUBMITTER: Weller DL 

PROVIDER: S-EPMC10880618 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature