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Objective <p>To analyze the monitoring results of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in urban wastewater, and explore the association between SARS-CoV-2 levels in urban wastewater and human Coronavirus disease 2019 (COVID-19) infection.</p> Methods <p>The concentrations of SARS-CoV-2 RNA in urban wastewater and the number of reported COVID-19 cases were collected in Changsha, Central China, between March 22, 2023 and December 31, 2024. Correlation analysis was used to explore the correlation between the SARS-CoV-2 RNA levels in wastewater and the number of reported COVID-19 cases. Linear regression and random forest models were used to analyze the predictive function of SARS-CoV-2 in wastewater on human COVID-19 cases.</p> Results <p>A total of 2,026 wastewater samples were collected. The positive rate of SARS-CoV-2 in wastewater was 82.0%. The positive rates of target Genes ORFlab and N were 71.7% and 81.4%, respectively. In the same period, 70,525 cases of COVID-19 were reported. The concentrations of target genes ORFlab and N in wastewater exhibited consistent trends (<i>r</i> = 0.95, 95% CI: 0.93–0.97) and were positively correlated with the number of reported COVID-19 cases (<i>r</i> = 0.79, 95% CI: 0.70–0.86; <i>r</i> = 0.77, 95% CI: 0.67–0.84). The linear regression model showed that the coefficients of determination between the number of reported COVID-19 cases and the levels of SARS-CoV-2 RNA (ORFlab, N) in wastewater were 0.63 and 0.59, respectively. In the test set, the random forest model indicated that the correlation coefficients between the number of reported COVID-19 cases and the predicted cases based on the concentration of target Gene ORFlab, target gene N and their combined concentration in wastewater were 0.89 (<i>R</i><sup>2</sup> = 0.77, <i>P</i> &lt; 0.05), 0.88 (<i>R</i><sup>2</sup> = 0.75, <i>P</i> &lt; 0.05) and 0.90 (<i>R</i><sup>2</sup> = 0.77, <i>P</i> &lt; 0.05), respectively.</p> Conclusions <p>Wastewater-based monitoring holds significant application value for trend prediction for COVID-19 cases.</p>

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Association between SARS-CoV-2 levels in urban wastewater and reported COVID-19 cases in Changsha, Central China

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月9日

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  • Ling-Shuang Lv,
  • Xiu-Ying Liu,
  • Qian-Lai Sun,
  • Heng Zhang,
  • Jin-Fu Zhang,
  • Zhi-Wen Yang,
  • Ning-Yuan Guo,
  • Xin Xia

摘要

Objective

To analyze the monitoring results of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in urban wastewater, and explore the association between SARS-CoV-2 levels in urban wastewater and human Coronavirus disease 2019 (COVID-19) infection.

Methods

The concentrations of SARS-CoV-2 RNA in urban wastewater and the number of reported COVID-19 cases were collected in Changsha, Central China, between March 22, 2023 and December 31, 2024. Correlation analysis was used to explore the correlation between the SARS-CoV-2 RNA levels in wastewater and the number of reported COVID-19 cases. Linear regression and random forest models were used to analyze the predictive function of SARS-CoV-2 in wastewater on human COVID-19 cases.

Results

A total of 2,026 wastewater samples were collected. The positive rate of SARS-CoV-2 in wastewater was 82.0%. The positive rates of target Genes ORFlab and N were 71.7% and 81.4%, respectively. In the same period, 70,525 cases of COVID-19 were reported. The concentrations of target genes ORFlab and N in wastewater exhibited consistent trends (r = 0.95, 95% CI: 0.93–0.97) and were positively correlated with the number of reported COVID-19 cases (r = 0.79, 95% CI: 0.70–0.86; r = 0.77, 95% CI: 0.67–0.84). The linear regression model showed that the coefficients of determination between the number of reported COVID-19 cases and the levels of SARS-CoV-2 RNA (ORFlab, N) in wastewater were 0.63 and 0.59, respectively. In the test set, the random forest model indicated that the correlation coefficients between the number of reported COVID-19 cases and the predicted cases based on the concentration of target Gene ORFlab, target gene N and their combined concentration in wastewater were 0.89 (R2 = 0.77, P < 0.05), 0.88 (R2 = 0.75, P < 0.05) and 0.90 (R2 = 0.77, P < 0.05), respectively.

Conclusions

Wastewater-based monitoring holds significant application value for trend prediction for COVID-19 cases.