Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China
Objective: This study aims to assess the feasibility of evaluating the COVID-19 epidemic trend through monitoring the positive percentage of SARS-CoV-19 RNA in wastewater. Method: The study collected data from January to August 2023, including the number of reported cases, the positive ratio of nucl...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-03-01
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| Series: | Infectious Disease Modelling |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042724001246 |
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| author | Jing Wang Haifeng Zhou Wentao Song Lingzhen Xu Yaoying Zheng Chen You Xiangyou Zhang Yeshan Peng Xiaolan Wang Tianmu Chen |
| author_facet | Jing Wang Haifeng Zhou Wentao Song Lingzhen Xu Yaoying Zheng Chen You Xiangyou Zhang Yeshan Peng Xiaolan Wang Tianmu Chen |
| author_sort | Jing Wang |
| collection | DOAJ |
| description | Objective: This study aims to assess the feasibility of evaluating the COVID-19 epidemic trend through monitoring the positive percentage of SARS-CoV-19 RNA in wastewater. Method: The study collected data from January to August 2023, including the number of reported cases, the positive ratio of nucleic acid samples in sentinel hospitals, the incidence rate of influenza-like symptoms in students, and the positive ratio of wastewater samples in different counties and districts in Shangrao City. Wastewater samples were obtained through grabbing and laboratory testing was completed within 24 h. The data were then normalized using Z-score normalization and analyzed for lag time and correlation using the xcorr function and Spearman correlation coefficient. Results: A total of 2797 wastewater samples were collected. The wastewater monitoring study, based on sampling point distribution, was divided into two phases. Wuyuan County consistently showed high levels of positive ratio in wastewater samples in both phases, reaching peak values of 91.67% and 100% respectively. The lag time analysis results indicated that the peak positive ratio in all wastewater samples in Shangrao City appeared around 2 weeks later compared to the other three indicators. The correlation analysis revealed a strong linear correlation across all four types of data, with Spearman correlation coefficients ranging from 0.783 to 0.977, all of which were statistically significant. Conclusion: The positive ratio of all wastewater samples in Shangrao City accurately reflected the COVID-19 epidemic trend from January to August 2023. This study confirmed the lag effect of wastewater percent positive and its strong correlation with the reported incidence rate and the positive ratio of nucleic acid samples in sentinel hospitals, supporting the use of wastewater percent positive monitoring as a supplementary tool for infectious disease surveillance in the regions with limited resources. |
| format | Article |
| id | doaj-art-73a4ef5f7d0a402cab0877efb8027ee6 |
| institution | Kabale University |
| issn | 2468-0427 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Infectious Disease Modelling |
| spelling | doaj-art-73a4ef5f7d0a402cab0877efb8027ee62024-12-21T04:28:50ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272025-03-01101325337Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, ChinaJing Wang0Haifeng Zhou1Wentao Song2Lingzhen Xu3Yaoying Zheng4Chen You5Xiangyou Zhang6Yeshan Peng7Xiaolan Wang8Tianmu Chen9State Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, ChinaShangrao Center for Disease Control and Prevention, Shangrao City, Jiangxi Province, China; Shangrao People's Hospital, Shangrao City, Jiangxi Province, China; Corresponding author. Shangro Center for Disease Control and Prevention, No. 685, Shengguang, Jimei District, Xiamen City, Fujian Province, People's Republic of China, Shangrao People's Hospital, No. 84-87, Shuyuan Road, Shangrao City, Jiangxi Province, China.xiaolan7005@163.comState Key Laboratory of Vaccines for Infectious Diseases, XiangAn Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, China; Corresponding author.Objective: This study aims to assess the feasibility of evaluating the COVID-19 epidemic trend through monitoring the positive percentage of SARS-CoV-19 RNA in wastewater. Method: The study collected data from January to August 2023, including the number of reported cases, the positive ratio of nucleic acid samples in sentinel hospitals, the incidence rate of influenza-like symptoms in students, and the positive ratio of wastewater samples in different counties and districts in Shangrao City. Wastewater samples were obtained through grabbing and laboratory testing was completed within 24 h. The data were then normalized using Z-score normalization and analyzed for lag time and correlation using the xcorr function and Spearman correlation coefficient. Results: A total of 2797 wastewater samples were collected. The wastewater monitoring study, based on sampling point distribution, was divided into two phases. Wuyuan County consistently showed high levels of positive ratio in wastewater samples in both phases, reaching peak values of 91.67% and 100% respectively. The lag time analysis results indicated that the peak positive ratio in all wastewater samples in Shangrao City appeared around 2 weeks later compared to the other three indicators. The correlation analysis revealed a strong linear correlation across all four types of data, with Spearman correlation coefficients ranging from 0.783 to 0.977, all of which were statistically significant. Conclusion: The positive ratio of all wastewater samples in Shangrao City accurately reflected the COVID-19 epidemic trend from January to August 2023. This study confirmed the lag effect of wastewater percent positive and its strong correlation with the reported incidence rate and the positive ratio of nucleic acid samples in sentinel hospitals, supporting the use of wastewater percent positive monitoring as a supplementary tool for infectious disease surveillance in the regions with limited resources.http://www.sciencedirect.com/science/article/pii/S2468042724001246Wastewater-based epidemiologyLag timeCorrelationPositive ratioWastewater percent positiveEpidemic trend |
| spellingShingle | Jing Wang Haifeng Zhou Wentao Song Lingzhen Xu Yaoying Zheng Chen You Xiangyou Zhang Yeshan Peng Xiaolan Wang Tianmu Chen Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China Infectious Disease Modelling Wastewater-based epidemiology Lag time Correlation Positive ratio Wastewater percent positive Epidemic trend |
| title | Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China |
| title_full | Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China |
| title_fullStr | Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China |
| title_full_unstemmed | Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China |
| title_short | Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China |
| title_sort | evaluation of wastewater percent positive for assessing epidemic trends a case study of covid 19 in shangrao china |
| topic | Wastewater-based epidemiology Lag time Correlation Positive ratio Wastewater percent positive Epidemic trend |
| url | http://www.sciencedirect.com/science/article/pii/S2468042724001246 |
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