Francesco Triggiano, Osvalda De Giglio, Francesca Apollonio, Silvia Brigida, Fabrizio Fasano, Pamela Mancini, Giusy Bonanno Ferraro, Carolina Veneri, Giuseppina La Rosa, Elisabetta Suffredini, Luca Lucentini, Nicola Ungaro, Giuseppe Di Vittorio, Onofrio Mongelli, Nelhudoff Albano, Maria Teresa Montagna
{"title":"基于废水的流行病学和严重急性呼吸系统综合征冠状病毒2型：阿普利亚地区（意大利南部）的变异趋势和一些环境参数的影响。","authors":"Francesco Triggiano, Osvalda De Giglio, Francesca Apollonio, Silvia Brigida, Fabrizio Fasano, Pamela Mancini, Giusy Bonanno Ferraro, Carolina Veneri, Giuseppina La Rosa, Elisabetta Suffredini, Luca Lucentini, Nicola Ungaro, Giuseppe Di Vittorio, Onofrio Mongelli, Nelhudoff Albano, Maria Teresa Montagna","doi":"10.1007/s12560-023-09565-0","DOIUrl":null,"url":null,"abstract":"<div><p>During the COVID-19 pandemic, wastewater monitoring has been used to monitor the levels of SARS-CoV-2 RNA entering the sewerage system. In Italy, the Istituto Superiore di Sanità coordinated the SARI project (Sorveglianza Ambientale Reflue in Italia) to detect SARS-CoV-2 and its variants. In this study, the concentration of SARS-CoV-2 and its variants in raw wastewater against COVID-19 cases was evaluated together with the effect of temperature and precipitation on virus spread. We validated a predictive model, proposed by De Giglio et al., 2021, to establish the number of COVID-19 cases/100,000 inhabitants. A receiver operating characteristic curve model was applied to predict the number of COVID-19 cases and Poisson regression was applied to study the effect of temperature and rainfall on viral load. In Apulia, from October 2021 to December 2022, we analyzed 1041 samples, of which 985 (94.6%) tested positive for SARS-CoV-2. Median atmospheric temperature was inversely proportional to viral load in wastewater; no correlation was found with precipitation. The predictive model confirmed that at least 11 cases/100,000 inhabitants would occur in the 15 days following the detection of the virus in wastewater. Environmental surveillance of SARS-CoV-2 can be used to map the virus and its variants.</p></div>","PeriodicalId":563,"journal":{"name":"Food and Environmental Virology","volume":"15 4","pages":"331 - 341"},"PeriodicalIF":4.1000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12560-023-09565-0.pdf","citationCount":"0","resultStr":"{\"title\":\"Wastewater-based Epidemiology and SARS-CoV-2: Variant Trends in the Apulia Region (Southern Italy) and Effect of Some Environmental Parameters\",\"authors\":\"Francesco Triggiano, Osvalda De Giglio, Francesca Apollonio, Silvia Brigida, Fabrizio Fasano, Pamela Mancini, Giusy Bonanno Ferraro, Carolina Veneri, Giuseppina La Rosa, Elisabetta Suffredini, Luca Lucentini, Nicola Ungaro, Giuseppe Di Vittorio, Onofrio Mongelli, Nelhudoff Albano, Maria Teresa Montagna\",\"doi\":\"10.1007/s12560-023-09565-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>During the COVID-19 pandemic, wastewater monitoring has been used to monitor the levels of SARS-CoV-2 RNA entering the sewerage system. In Italy, the Istituto Superiore di Sanità coordinated the SARI project (Sorveglianza Ambientale Reflue in Italia) to detect SARS-CoV-2 and its variants. In this study, the concentration of SARS-CoV-2 and its variants in raw wastewater against COVID-19 cases was evaluated together with the effect of temperature and precipitation on virus spread. We validated a predictive model, proposed by De Giglio et al., 2021, to establish the number of COVID-19 cases/100,000 inhabitants. A receiver operating characteristic curve model was applied to predict the number of COVID-19 cases and Poisson regression was applied to study the effect of temperature and rainfall on viral load. In Apulia, from October 2021 to December 2022, we analyzed 1041 samples, of which 985 (94.6%) tested positive for SARS-CoV-2. Median atmospheric temperature was inversely proportional to viral load in wastewater; no correlation was found with precipitation. The predictive model confirmed that at least 11 cases/100,000 inhabitants would occur in the 15 days following the detection of the virus in wastewater. Environmental surveillance of SARS-CoV-2 can be used to map the virus and its variants.</p></div>\",\"PeriodicalId\":563,\"journal\":{\"name\":\"Food and Environmental Virology\",\"volume\":\"15 4\",\"pages\":\"331 - 341\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2023-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s12560-023-09565-0.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food and Environmental Virology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12560-023-09565-0\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food and Environmental Virology","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12560-023-09565-0","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Wastewater-based Epidemiology and SARS-CoV-2: Variant Trends in the Apulia Region (Southern Italy) and Effect of Some Environmental Parameters
During the COVID-19 pandemic, wastewater monitoring has been used to monitor the levels of SARS-CoV-2 RNA entering the sewerage system. In Italy, the Istituto Superiore di Sanità coordinated the SARI project (Sorveglianza Ambientale Reflue in Italia) to detect SARS-CoV-2 and its variants. In this study, the concentration of SARS-CoV-2 and its variants in raw wastewater against COVID-19 cases was evaluated together with the effect of temperature and precipitation on virus spread. We validated a predictive model, proposed by De Giglio et al., 2021, to establish the number of COVID-19 cases/100,000 inhabitants. A receiver operating characteristic curve model was applied to predict the number of COVID-19 cases and Poisson regression was applied to study the effect of temperature and rainfall on viral load. In Apulia, from October 2021 to December 2022, we analyzed 1041 samples, of which 985 (94.6%) tested positive for SARS-CoV-2. Median atmospheric temperature was inversely proportional to viral load in wastewater; no correlation was found with precipitation. The predictive model confirmed that at least 11 cases/100,000 inhabitants would occur in the 15 days following the detection of the virus in wastewater. Environmental surveillance of SARS-CoV-2 can be used to map the virus and its variants.
期刊介绍：
Food and Environmental Virology publishes original articles, notes and review articles on any aspect relating to the transmission of pathogenic viruses via the environment (water, air, soil etc.) and foods. This includes epidemiological studies, identification of novel or emerging pathogens, methods of analysis or characterisation, studies on survival and elimination, and development of procedural controls for industrial processes, e.g. HACCP plans. The journal will cover all aspects of this important area, and encompass studies on any human, animal, and plant pathogenic virus which is capable of transmission via the environment or food.
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