Neglected Genetic Coefficients for Bacterial Diversity as a Supporting Tool for Public Health and Wastewater-Based Epidemiology

In the review, the collection of population genetics papers from 1973 to 2025 comprises 400 publications, 81 of which were significant and consulted with representatives from water and sewage companies. Reviewed Proteobacteria (mean HS = 0.42), Firmicutes (mean HS = 0.43), Actinobacteria (mean HS = 0.33), and Spirochaetes (mean HS = 0.54) represent the 60 species under investigation through the lens of “h” coefficients related to gene diversity and expected heterozygosity. The research also included ESKAPE, emerging pathogens, bacterial indicators of wastewater treatment efficiency, environmental sanitary surveillance and public health. The restoration of the expected heterozygosity for haploids “h” was proposed in wastewater-based epidemiology as an innovative tool for public health. The unique “h” coefficient allows for the comparison of genetic variability in various organisms, regardless of their ploidy, using multiple markers and traits. The parameter represents a noble character for both the variability of phenotypes (proteins) and genotypes (nucleic acids). Leveraging the genetic diversity highlighted by the “h” coefficient can support wastewater-based epidemiology, offering the ability to predict the stages and trajectories of disease outbreaks.

Authors

Institutions

Publication Details

Journal
Water
Published
2025-12-31
DOI
https://doi.org/10.3390/w18010096
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neglected Genetic Coefficients for Bacterial Diversity as a Supporting Tool for Public Health and Wastewater-Based Epidemiology

Małgorzata Krzyżowska, Karol Korzekwa, Oliwia Obuch-Woszczatyńska
Water
Fecal contamination and water quality
article

Neglected Genetic Coefficients for Bacterial Diversity as a Supporting Tool for Public Health and Wastewater-Based Epidemiology

Małgorzata Krzyżowska, Karol Korzekwa, Oliwia Obuch-Woszczatyńska
article en

Abstract

In the review, the collection of population genetics papers from 1973 to 2025 comprises 400 publications, 81 of which were significant and consulted with representatives from water and sewage companies. Reviewed Proteobacteria (mean HS = 0.42), Firmicutes (mean HS = 0.43), Actinobacteria (mean HS = 0.33), and Spirochaetes (mean HS = 0.54) represent the 60 species under investigation through the lens of “h” coefficients related to gene diversity and expected heterozygosity. The research also included ESKAPE, emerging pathogens, bacterial indicators of wastewater treatment efficiency, environmental sanitary surveillance and public health. The restoration of the expected heterozygosity for haploids “h” was proposed in wastewater-based epidemiology as an innovative tool for public health. The unique “h” coefficient allows for the comparison of genetic variability in various organisms, regardless of their ploidy, using multiple markers and traits. The parameter represents a noble character for both the variability of phenotypes (proteins) and genotypes (nucleic acids). Leveraging the genetic diversity highlighted by the “h” coefficient can support wastewater-based epidemiology, offering the ability to predict the stages and trajectories of disease outbreaks.

WaterVol. 18(1)
Warsaw University of Life Sciences (PL), Wojskowy Instytut Higieny i Epidemiologii (PL)
Clean water and sanitation
Openalex Percentile: Top 35%
Fecal contamination and water quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.