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An opinion on Wastewater-Based Epidemiological Monitoring (WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas of community COVID-19 Infections
Wastewater-Based Epidemiological Monitoring (WBEM) is an efficient surveillance tool during the COVID-19 pandemic as it meets all requirements of a complete monitoring system including early warning, tracking the current trend, prevalence of the disease, detection of genetic diversity as well asthe...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612100/ https://www.ncbi.nlm.nih.gov/pubmed/36320818 http://dx.doi.org/10.1016/j.coesh.2022.100396 |
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author | Islam, Aminul Hossen, Foysal Rahman, Arifur Sultana, Khandokar Fahmida Hasan, Mohammad Nayeem Haque, Atiqul Sosa-Hernández, Juan Eduardo Oyervides-Muñoz, Mariel Araceli Parra-Saldívar, Roberto Ahmed, Tanvir Islam, Tahmidul Dhama, Kuldeep Sangkham, Sarawut Bahadur, Newaz Mohammed Reza, Hasan Mahmud Jakariya Al Marzan, Abdullah Bhattacharya, Prosun Sonne, Christian Ahmed, Firoz |
author_facet | Islam, Aminul Hossen, Foysal Rahman, Arifur Sultana, Khandokar Fahmida Hasan, Mohammad Nayeem Haque, Atiqul Sosa-Hernández, Juan Eduardo Oyervides-Muñoz, Mariel Araceli Parra-Saldívar, Roberto Ahmed, Tanvir Islam, Tahmidul Dhama, Kuldeep Sangkham, Sarawut Bahadur, Newaz Mohammed Reza, Hasan Mahmud Jakariya Al Marzan, Abdullah Bhattacharya, Prosun Sonne, Christian Ahmed, Firoz |
author_sort | Islam, Aminul |
collection | PubMed |
description | Wastewater-Based Epidemiological Monitoring (WBEM) is an efficient surveillance tool during the COVID-19 pandemic as it meets all requirements of a complete monitoring system including early warning, tracking the current trend, prevalence of the disease, detection of genetic diversity as well asthe up-surging SARS-CoV-2 new variants with mutations from the wastewater samples. Subsequently, Clinical Diagnostic Test is widely acknowledged as the global gold standard method for disease monitoring, despite several drawbacks such as high diagnosis cost, reporting bias, and the difficulty of tracking asymptomatic patients (silent spreaders of the COVID-19 infection who manifest nosymptoms of the disease). In this current reviewand opinion-based study, we first propose a combined approach) for detecting COVID-19 infection in communities using wastewater and clinical sample testing, which may be feasible and effective as an emerging public health tool for the long-term nationwide surveillance system. The viral concentrations in wastewater samples can be used as indicatorsto monitor ongoing SARS-CoV-2 trends, predict asymptomatic carriers, and detect COVID-19 hotspot areas, while clinical sampleshelp in detecting mostlysymptomaticindividuals for isolating positive cases in communities and validate WBEM protocol for mass vaccination including booster doses for COVID-19. |
format | Online Article Text |
id | pubmed-9612100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96121002022-10-28 An opinion on Wastewater-Based Epidemiological Monitoring (WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas of community COVID-19 Infections Islam, Aminul Hossen, Foysal Rahman, Arifur Sultana, Khandokar Fahmida Hasan, Mohammad Nayeem Haque, Atiqul Sosa-Hernández, Juan Eduardo Oyervides-Muñoz, Mariel Araceli Parra-Saldívar, Roberto Ahmed, Tanvir Islam, Tahmidul Dhama, Kuldeep Sangkham, Sarawut Bahadur, Newaz Mohammed Reza, Hasan Mahmud Jakariya Al Marzan, Abdullah Bhattacharya, Prosun Sonne, Christian Ahmed, Firoz Curr Opin Environ Sci Health Article Wastewater-Based Epidemiological Monitoring (WBEM) is an efficient surveillance tool during the COVID-19 pandemic as it meets all requirements of a complete monitoring system including early warning, tracking the current trend, prevalence of the disease, detection of genetic diversity as well asthe up-surging SARS-CoV-2 new variants with mutations from the wastewater samples. Subsequently, Clinical Diagnostic Test is widely acknowledged as the global gold standard method for disease monitoring, despite several drawbacks such as high diagnosis cost, reporting bias, and the difficulty of tracking asymptomatic patients (silent spreaders of the COVID-19 infection who manifest nosymptoms of the disease). In this current reviewand opinion-based study, we first propose a combined approach) for detecting COVID-19 infection in communities using wastewater and clinical sample testing, which may be feasible and effective as an emerging public health tool for the long-term nationwide surveillance system. The viral concentrations in wastewater samples can be used as indicatorsto monitor ongoing SARS-CoV-2 trends, predict asymptomatic carriers, and detect COVID-19 hotspot areas, while clinical sampleshelp in detecting mostlysymptomaticindividuals for isolating positive cases in communities and validate WBEM protocol for mass vaccination including booster doses for COVID-19. The Author(s). Published by Elsevier B.V. 2022-10-06 /pmc/articles/PMC9612100/ /pubmed/36320818 http://dx.doi.org/10.1016/j.coesh.2022.100396 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Islam, Aminul Hossen, Foysal Rahman, Arifur Sultana, Khandokar Fahmida Hasan, Mohammad Nayeem Haque, Atiqul Sosa-Hernández, Juan Eduardo Oyervides-Muñoz, Mariel Araceli Parra-Saldívar, Roberto Ahmed, Tanvir Islam, Tahmidul Dhama, Kuldeep Sangkham, Sarawut Bahadur, Newaz Mohammed Reza, Hasan Mahmud Jakariya Al Marzan, Abdullah Bhattacharya, Prosun Sonne, Christian Ahmed, Firoz An opinion on Wastewater-Based Epidemiological Monitoring (WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas of community COVID-19 Infections |
title | An opinion on Wastewater-Based Epidemiological Monitoring
(WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas
of community COVID-19 Infections |
title_full | An opinion on Wastewater-Based Epidemiological Monitoring
(WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas
of community COVID-19 Infections |
title_fullStr | An opinion on Wastewater-Based Epidemiological Monitoring
(WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas
of community COVID-19 Infections |
title_full_unstemmed | An opinion on Wastewater-Based Epidemiological Monitoring
(WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas
of community COVID-19 Infections |
title_short | An opinion on Wastewater-Based Epidemiological Monitoring
(WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas
of community COVID-19 Infections |
title_sort | opinion on wastewater-based epidemiological monitoring
(wbem) with clinical diagnostic test (cdt) for detecting high-prevalence areas
of community covid-19 infections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612100/ https://www.ncbi.nlm.nih.gov/pubmed/36320818 http://dx.doi.org/10.1016/j.coesh.2022.100396 |
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