Article ; Online: Identification of multiple potential viral diseases in a large urban center using wastewater surveillance.
2020 Volume 184, Page(s) 116160
Abstract: ... to identify enteric and non-enteric viruses collected from a large urban area for potential public health ... diseases reported in the catchment area. Metagenomics detected the presence of viral pathogens that cause clinically ... 2018 (n = 54) to evaluate the diversity of human viral pathogens in collected samples. Viruses were ...
Abstract | Viruses are linked to a multitude of human illnesses and can disseminate widely in urbanized environments causing global adverse impacts on communities and healthcare infrastructures. Wastewater-based epidemiology was employed using metagenomics and quantitative polymerase chain reaction (qPCR) assays to identify enteric and non-enteric viruses collected from a large urban area for potential public health monitoring and outbreak analysis. Untreated wastewater samples were collected from November 2017 to February 2018 (n = 54) to evaluate the diversity of human viral pathogens in collected samples. Viruses were classified into virus types based on primary transmission routes and reviewed against viral associated diseases reported in the catchment area. Metagenomics detected the presence of viral pathogens that cause clinically significant diseases reported within the study area during the sampling year. Detected viruses belong to the Adenoviridae, Astroviridae, Caliciviridae, Coronaviridae, Flaviviridae, Hepeviridae, Herpesviridae, Matonaviridae, Papillomaviridae, Parvoviridae, Picornaviridae, Poxviridae, Retroviridae, and Togaviridae families. Furthermore, concentrations of adenovirus, norovirus GII, sapovirus, hepatitis A virus, human herpesvirus 6, and human herpesvirus 8 were measured in wastewater samples and compared to metagenomic findings to confirm detected viral genus. Hepatitis A virus obtained the greatest average viral load (1.86 × 10 |
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MeSH term(s) | Hepatitis A virus ; Humans ; Norovirus ; Sapovirus ; Viruses/genetics ; Waste Water |
Chemical Substances | Waste Water |
Keywords | covid19 |
Language | English |
Publishing date | 2020-07-07 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 202613-2 |
ISSN | 1879-2448 ; 0043-1354 |
ISSN (online) | 1879-2448 |
ISSN | 0043-1354 |
DOI | 10.1016/j.watres.2020.116160 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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