Charles R Doss,Mark J Osborn,Stacey Stark,Joshua Rhein,Jacalynn Donkersgoed,Donna Budde,Shannon Champeau,Carolyn Meyer,Mason Hayden,Laura Landini,Difan Ouyang,Lappui Chung,Yi Tang,Sara Vetter,Timothy W Schacker
{"title":"SARS-CoV-2废水测量准确预测社区有症状感染频率","authors":"Charles R Doss,Mark J Osborn,Stacey Stark,Joshua Rhein,Jacalynn Donkersgoed,Donna Budde,Shannon Champeau,Carolyn Meyer,Mason Hayden,Laura Landini,Difan Ouyang,Lappui Chung,Yi Tang,Sara Vetter,Timothy W Schacker","doi":"10.1093/infdis/jiaf242","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nWidespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality.\r\n\r\nMETHODS\r\nBetween January 2022 and August 2024, we conducted a longitudinal observational study aimed to examine the correlation between symptomatic COVID-19 in healthcare employees and the SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative RT-PCR for detection of SARS-CoV-2. The employee occupational health office for Fairview Health provided deidentified data.\r\n\r\nRESULTS\r\nWe collected 215 wastewater samples from the TCWWTP over a 32-month interval. Over that period, there were 6,879 positive SARS-CoV-2 test results reported to Fairview Employee Health from individuals who lived in the wastewater catchment area. We found that SARS-CoV-2 levels in wastewater accurately predicted the subsequent COVID-19 case count the following week in the community (p = 0.001).\r\n\r\nCONCLUSION\r\nThese data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.","PeriodicalId":501010,"journal":{"name":"The Journal of Infectious Diseases","volume":"120 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community.\",\"authors\":\"Charles R Doss,Mark J Osborn,Stacey Stark,Joshua Rhein,Jacalynn Donkersgoed,Donna Budde,Shannon Champeau,Carolyn Meyer,Mason Hayden,Laura Landini,Difan Ouyang,Lappui Chung,Yi Tang,Sara Vetter,Timothy W Schacker\",\"doi\":\"10.1093/infdis/jiaf242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nWidespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality.\\r\\n\\r\\nMETHODS\\r\\nBetween January 2022 and August 2024, we conducted a longitudinal observational study aimed to examine the correlation between symptomatic COVID-19 in healthcare employees and the SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative RT-PCR for detection of SARS-CoV-2. The employee occupational health office for Fairview Health provided deidentified data.\\r\\n\\r\\nRESULTS\\r\\nWe collected 215 wastewater samples from the TCWWTP over a 32-month interval. Over that period, there were 6,879 positive SARS-CoV-2 test results reported to Fairview Employee Health from individuals who lived in the wastewater catchment area. We found that SARS-CoV-2 levels in wastewater accurately predicted the subsequent COVID-19 case count the following week in the community (p = 0.001).\\r\\n\\r\\nCONCLUSION\\r\\nThese data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.\",\"PeriodicalId\":501010,\"journal\":{\"name\":\"The Journal of Infectious Diseases\",\"volume\":\"120 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/infdis/jiaf242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/infdis/jiaf242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wastewater Measures of SARS-CoV-2 Accurately Predict Frequency of Symptomatic Infections in the Community.
BACKGROUND
Widespread immunity through vaccination or natural infection has altered the predictive ability of wastewater for hospitalization and mortality.
METHODS
Between January 2022 and August 2024, we conducted a longitudinal observational study aimed to examine the correlation between symptomatic COVID-19 in healthcare employees and the SARS-CoV-2 wastewater community levels. Wastewater was analyzed by quantitative RT-PCR for detection of SARS-CoV-2. The employee occupational health office for Fairview Health provided deidentified data.
RESULTS
We collected 215 wastewater samples from the TCWWTP over a 32-month interval. Over that period, there were 6,879 positive SARS-CoV-2 test results reported to Fairview Employee Health from individuals who lived in the wastewater catchment area. We found that SARS-CoV-2 levels in wastewater accurately predicted the subsequent COVID-19 case count the following week in the community (p = 0.001).
CONCLUSION
These data demonstrate the utility of SARS-CoV-2 wastewater surveillance as it accurately predicts the frequency of symptomatic infection in the community.