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http://repositorio.ufc.br/handle/riufc/56394
Tipo: | Artigo de Periódico |
Título: | Wastewater-based epidemiology as an ally in the fight against the COVID-19: a brief review |
Título em inglês: | Wastewater-based epidemiology as an ally in the fight against the COVID-19: a brief review |
Autor(es): | Viana, Michael Barbosa Matos, Fábio de Oliveira Tavares, Tallita Cruz Lopes |
Palavras-chave: | Genoma-Vírus;Vírus- Coronavírus;Amostragem |
Data do documento: | 2020 |
Instituição/Editor/Publicador: | Revista AIDIS |
Citação: | VIANA, Michael Barbosa; MATOS, Fábio Oliveira; TAVARES, Tallita Cruz Lopes. Wastewater-based epidemiology as an ally in the fight against the COVID-19: a brief review. Revista AIDIS de Ingeniería y Ciencias Ambientales, México, v. 13, p. 1098-1109, 2020. |
Abstract: | Several researchers have detected the viral genome of SARS-CoV-2 in the stools of people (symptomatic or not) diagnosed with coronavirus disease-2019 (COVID-19). In domestic wastewater, this concentration can be between 19 and 5.5 x 106 viral genomes per liter of wastewater. Wastewater-based epidemiology (WBE) starts from the premise that it is possible to estimate the number of people infected by the new coronavirus within a given population group, by analyzing the amount of viral genome present in the wastewater produced by these people. This paper presents the procedures to estimate the number of COVID-19 cases from raw wastewater samples, discusses the main aspects that involve the WBE assay and presents a discussion based on the case studies applied to COVID-19 in some countries. Finally, there is a final discussion about the current situation and the main challenges for WBE to be applied efficiently for COVID-19, as an alternative to massive human testing, especially for developing and underdeveloped countries. |
URI: | http://www.repositorio.ufc.br/handle/riufc/56394 |
ISSN: | 0718-378x |
Aparece nas coleções: | COVID-19 - Trabalhos relacionados LABOMAR - Artigos publicados em revistas científicas |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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2020_art_mbviana.pdf | 284,59 kB | Adobe PDF | Visualizar/Abrir |
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