Identification of sampling points for the detection of SARS-CoV-2 in the sewage system
| Autor: | János Abonyi, Borbála Oláhné Horváth, Ferenc Jakab, Renáta Gerencsér-Berta, Endre Gábor Tóth, Viola Somogyi, Attila János Trájer, Viktor Sebestyén, Gábor Kemenesi, Endre Domokos |
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| Rok vydání: | 2022 |
| Předmět: |
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Network science Geography Planning and Development Population Wastewater-based epidemiology Sewage Transportation computer.software_genre Sampling strategy Article education ComputingMethodologies_COMPUTERGRAPHICS Civil and Structural Engineering Wastewater collection system education.field_of_study Renewable Energy Sustainability and the Environment business.industry COVID-19 Sampling (statistics) Identification (information) Wastewater Geographical information system Environmental science Data mining Population equivalent business computer |
| Zdroj: | Sustainable Cities and Society |
| ISSN: | 2210-6707 |
| DOI: | 10.1016/j.scs.2021.103422 |
| Popis: | Graphical abstract A suitable tool for monitoring the spread of SARS-CoV-2 is to identify potential sampling points in the wastewater collection system that can be used to monitor the distribution of COVID-19 disease affected clusters within a city. The applicability of the developed methodology is presented through the description of the 72,837 population equivalent wastewater collection system of the city of Nagykanizsa, Hungary and the results of the analytical and epidemiological measurements of the wastewater samples. The wastewater sampling was conducted during the 3rd wave of the COVID-19 epidemic. It was found that the overlap between the road system and the wastewater network is high, it is 82 %. It was showed that the proposed methodological approach, using the tools of network science, determines confidently the zones of the wastewater collection system and provides the ideal monitoring points in order to provide the best sampling resolution in urban areas. The strength of the presented approach is that it estimates the network based on publicly available information. It was concluded that the number of zones or sampling points can be chosen based on relevant epidemiological intervention and mitigation strategies. The algorithm allows for continuous effective monitoring of the population infected by SARS-CoV-2 in small-sized cities. |
| Databáze: | OpenAIRE |
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