Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
Emerging Infectious Diseases·
- DOI
- 10.3201/eid2809.220938
- PMID
- 35840124
- PMCID
- PMC9423899
- OpenAlex
- W4285677755
- Study type
- Journal article
- Publisher
- Centers for Disease Control and Prevention (CDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings support the use of wastewater genomic surveillance as an effective method for community-level monitoring of circulating SARS-CoV-2 variants, offering a potential complement or alternative to clinical specimen surveillance.
Structured evidence summary
Research question
The study examined whether SARS-CoV-2 variant proportions estimated from wastewater genomic sequencing correlate with those derived from clinical specimen sequencing at the population level.
Study design
The study compared statewide variant estimates obtained through genomic sequencing of clinical specimens and wastewater samples, using pairwise correlation analysis.
Population and setting
The study was conducted at the state level in Oregon, USA, using community wastewater samples and clinical specimens.
Main findings
Statewide SARS-CoV-2 variant estimates from wastewater genomic surveillance showed strong pairwise correlation with clinical genomic surveillance estimates, with a correlation coefficient of 0.97.
Public-health relevance
The findings support the use of wastewater genomic surveillance as an effective method for community-level monitoring of circulating SARS-CoV-2 variants, offering a potential complement or alternative to clinical specimen surveillance.
Important limitations
This summary relies on the supplied single-article abstract and bibliographic metadata. Assessment of methodological limitations, temporal resolution, variant detection thresholds, and generalizability requires review of the full published article.
GIDS interpretation
This Oregon-based study demonstrates correlation between wastewater and clinical SARS-CoV-2 genomic surveillance methods. The article is indexed under genomic epidemiology and surveillance topics, making it discoverable for researchers and public health professionals evaluating wastewater-based pathogen monitoring approaches.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.