ArticleSustainable cities and society2022
Identification of sampling points for the detection of SARS-CoV-2 in the sewage system.
Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Development of a computational model to inform environmental surveillance sampling plans for Salmonella enterica serovar Typhi in wastewater.PLoS neglected tropical diseases · 2024Article
- Optimal Selection of Sampling Points within Sewer Networks for Wastewater-Based Epidemiology Applications.Methods and protocols · 2024Article
- When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs?Water research · 2023Article
- Shedding light on the toxicity of SARS-CoV-2-derived peptide in non-target COVID-19 organisms: A study involving inbred and outbred mice.Neurotoxicology · 2022Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
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.
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