Variability of Clinical Metrics in Small Population Communities Drive Perceived Wastewater and Environmental Surveillance Data Quality: Ontario, Canada-Wide Study
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View abstract on PubMed
Summary
This summary is machine-generated.Wastewater and environmental monitoring (WEM) effectively tracks COVID-19, but its correlation with clinical data varies by population size. Smaller communities benefit most from WEM for public health surveillance.
Area Of Science
- Environmental science and public health surveillance
- Epidemiology and infectious disease monitoring
Background
- COVID-19 in Canada has caused significant mortality and morbidity.
- Traditional surveillance relies on hospital admissions and lab cases, but wastewater and environmental monitoring (WEM) offers complementary data.
- Challenges exist in integrating WEM data into public health due to perceived quality issues and variable correlations.
Purpose Of The Study
- To investigate how population size, WEM data characteristics, and clinical surveillance metrics influence WEM data correlations and variability in Ontario.
- To identify population thresholds for reliable WEM-based COVID-19 incidence inference.
- To assess the impact of vaccination periods on these relationships.
Main Methods
- Analysis of wastewater and environmental monitoring (WEM) data in Ontario.
- Correlation analysis with clinical surveillance data (hospital admissions, lab-positive cases).
- Investigation of factors including sewershed population size, WEM measurement magnitude, and site isolation.
Main Results
- Clinical surveillance data showed a direct relationship with sewershed population size; WEM magnitude was not population-dependent.
- Smaller sewersheds exhibited higher clinical surveillance variability, weakening WEM correlations.
- Population thresholds for strong WEM-clinical data correlations were identified, varying by vaccination status (e.g., ~66,000 for WEM-hospital admissions during Omicron BA.1).
Conclusions
- Wastewater and environmental monitoring is a valuable tool for strategic public health, particularly in smaller communities.
- Population size is a critical factor influencing the reliability of WEM for inferring infectious disease incidence.
- Findings support enhanced public health decision-making and disease surveillance using WEM for COVID-19 and other pathogens.
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