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阿根廷萨尔塔省 COVID-19 第一波和第二波期间 SARS-CoV-2 的综合分析。

An integrative analysis of SARS-CoV 2 during the first and second waves of COVID-19 in Salta, Argentina.

机构信息

Laboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.

Laboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ingeniería, UNSa, Av. Bolivia 5150, Salta 4400, Argentina.

出版信息

Sci Total Environ. 2024 Dec 10;955:176782. doi: 10.1016/j.scitotenv.2024.176782. Epub 2024 Oct 6.

Abstract

Wastewater surveillance has been extensively applied to provide information about SARS-CoV-2 circulation in the community. However, its applicability is limited in regions lacking adequate sewerage infrastructure, without wastewater treatment plants (WWTP) or with insufficient coverage. During the COVID-19 pandemic, from July 2020 to September 2021, comprehensive epidemiological data encompassing positive, recovered, and deceased cases were collected alongside precipitation records. Additionally, wastewater samples from 13 main sewersheds and river water from two points (up- and downstream the main WWTP), in the city of Salta, were gathered. A total of 452 water samples were analyzed for quantitative detection of SARS-CoV-2 using reverse transcription real-time PCR. Across the 62-week study period, two distinct waves of COVID-19 were identified. The dynamics of deceased cases showed peaks 10 and 28 days after the peaks of positive cases in the first and second waves, respectively. Downstream river water exhibited higher fecal contamination than the upstream samples, evincing the impact of the WWTP discharges. Viral concentration in river waters mirrored those from wastewater, reflecting the progression of cases. Despite the lower reported number of cases during the first wave in comparison to the second (5420 vs. 8516 cases at the respective peaks), higher viral concentrations were detected in water samples (1.97 × 10 vs. 2.36 × 10 gc/L, respectively), suggesting underreporting during the first wave, and highlighting the positive effect of vaccination during the second. To the best of our knowledge, this is the first study that simultaneously and systematically analyzed surface water and wastewater over a prolonged period, the effect of precipitations were considered for the variations in the concentrations, and the findings compared with epidemiological information. Environmental surveillance was demonstrated to be a great tool to obtain valuable information about the circulation patterns of SARS-CoV-2, especially under resource constraints to massively test the population, thus, underreporting cases. Furthermore, the methodology employed herein can be easily expanded to the community-level surveillance of other pathogens excreted in urine and feces, encompassing viruses, bacteria, and protozoa.

摘要

污水监测已被广泛应用于提供有关社区中 SARS-CoV-2 传播的信息。然而,在缺乏适当污水基础设施、没有污水处理厂(WWTP)或覆盖范围不足的地区,其适用性有限。在 COVID-19 大流行期间,从 2020 年 7 月至 2021 年 9 月,除了降水记录外,还收集了包含阳性、康复和死亡病例的综合流行病学数据。此外,从萨尔塔市 13 个主要污水流域和两条河流(主 WWTP 的上下游)采集了污水样本。共采集了 452 个水样,使用逆转录实时 PCR 对 SARS-CoV-2 进行定量检测。在整个 62 周的研究期间,发现了两波 COVID-19。死亡病例的动态显示,在第一波和第二波的阳性病例高峰后,分别出现 10 天和 28 天的高峰。下游河水的粪便污染程度高于上游样本,表明 WWTP 排放的影响。河水中的病毒浓度与污水中的病毒浓度相似,反映了病例的进展情况。尽管第一波报告的病例数低于第二波(各自高峰时分别为 5420 例和 8516 例),但水中样本的病毒浓度更高(分别为 1.97×10 和 2.36×10 gc/L),表明第一波报告不足,并强调了第二波接种的积极影响。据我们所知,这是第一项同时系统地分析长时间内地表水和污水、考虑降水对浓度变化的影响并将结果与流行病学信息进行比较的研究。环境监测被证明是获取有关 SARS-CoV-2 传播模式的宝贵信息的重要工具,特别是在资源有限的情况下大规模检测人群,从而报告不足。此外,本文中采用的方法可以很容易地扩展到社区层面,用于监测尿液和粪便中排泄的其他病原体,包括病毒、细菌和原生动物。

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