Journal Article Epublish
PubMed: 40762590 DOI: 10.3346/jkms.2025.40.e94
National Wastewater Surveillance of SARS-CoV-2 Across Provinces and Regions in the Republic of Korea From January to August 2023.
J Korean Med Sci 40(30):e94
Authors: You-Jung Choi, Lan Hee Kim, Jinhwa Jang, Shin Young Park, Sejin Jeong, Sungpyo Kim, Sangwon Lee, Seong-Sun Kim
Affiliations
- Data Analysis Team, Epidemiological Investigation and Analysis Task Force, Central Disease Control Headquarters, Korea Disease Control and Prevention Agency, Cheongju, Korea.
- Research Institute for Advanced Industrial Technology, Korea University, Sejong, Korea.
- Institute for Infectious Disease Management Technologies, K-AD Inc. Sejong, Korea.
- Division of Epidemiological Data Analysis, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.
- Division of Disease Control Research Planning, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.
- Institute for Infectious Disease Management Technologies, K-AD Inc. Sejong, Korea. Department of Environmental Engineering, Korea University, Sejong, Korea.
- Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.
- Division of Epidemiological Data Analysis, Department of Disease Data Science, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Abstract
BACKGROUND
Wastewater surveillance (WS) technology has gained significant attention in many countries due to its role in the monitoring of infectious diseases within communities and complementing clinical testing to prevent coronavirus disease 2019 (COVID-19) outbreaks. In 2023, the Korea Disease Control and Prevention Agency (KDCA) launched the Korea Wastewater Surveillance (KOWAS) project in collaboration with 17 cities and provinces to track COVID-19 outbreaks.
METHODS
From January to August 2023, the concentrations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) E gene in wastewater were monitored in 19 institutes of health and environmental research, all within local governments. Influent samples were collected from 62 wastewater treatment plants (WWTPs) and weekly trends in SARS-CoV-2 E gene concentrations in wastewater were compared to those of new COVID-19 cases.
RESULTS
During 34 weeks, the concentration of SARS-CoV-2 in wastewater samples closely mirrored the trends in new COVID-19 cases, showing the effectiveness of WS in detecting the presence of the virus. However, the efficacy of the WS method varied between provinces. Although some provinces showed a significant positive correlation between new COVID-19 cases and SARS-CoV-2 E gene concentrations in wastewater, this correlation was inconsistent between all locations. However, when data were analyzed on a broader regional scale, defined as a grouping of multiple provinces, a higher proportion of regions showed significant correlations. This suggests that analyzing WS data on a broader scale, with larger aggregated populations and higher coverage rates, reduces the influence of local variabilities, such as the proportion of combined sewer types, WWTPs coverage rate, and foot traffic, which may affect alignment at the provincial level.
CONCLUSION
The synchrony between trends in SARS-CoV-2 E gene concentrations in wastewater and new COVID-19 cases highlights the effectiveness of KOWAS in tracking new clinical cases. However, measured SARS-CoV-2 RNA concentrations can be affected by socioenvironmental factors (e.g., WWTP treatment capacity, sewer pipeline distances, and coverage populations). Further refinement will involve expanding the surveillance network to include additional WWTPs and a more comprehensive range of monitoring targets.
MeSH
Coronavirus, Genes, Sars-Cov-2, Disease Outbreaks, Covid-19, Viruses, Therapeutics, Severe Acute Respiratory Syndrome-Related Coronavirus