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A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity
Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surv...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576909/ https://www.ncbi.nlm.nih.gov/pubmed/36265620 http://dx.doi.org/10.1016/j.scitotenv.2022.159350 |
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author | Islam, Md. Aminul Rahman, Md. Arifur Jakariya, Md. Bahadur, Newaz Mohammed Hossen, Foysal Mukharjee, Sanjoy Kumar Hossain, Mohammad Salim Tasneem, Atkeeya Haque, Md. Atiqul Sera, Francesco Jahid, Iqbal Kabir Ahmed, Tanvir Hasan, Mohammad Nayeem Islam, Md. Tahmidul Hossain, Amzad Amin, Ruhul Tiwari, Ananda Didar-Ul-Alam, Md Dhama, Kuldeep Bhattacharya, Prosun Ahmed, Firoz |
author_facet | Islam, Md. Aminul Rahman, Md. Arifur Jakariya, Md. Bahadur, Newaz Mohammed Hossen, Foysal Mukharjee, Sanjoy Kumar Hossain, Mohammad Salim Tasneem, Atkeeya Haque, Md. Atiqul Sera, Francesco Jahid, Iqbal Kabir Ahmed, Tanvir Hasan, Mohammad Nayeem Islam, Md. Tahmidul Hossain, Amzad Amin, Ruhul Tiwari, Ananda Didar-Ul-Alam, Md Dhama, Kuldeep Bhattacharya, Prosun Ahmed, Firoz |
author_sort | Islam, Md. Aminul |
collection | PubMed |
description | Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surveillance (WBS) could reduce the burden on the public health system, management of pandemics, help to make informed decisions, and protect public health. In this study, a house with COVID-19 patients was targeted for monitoring the prevalence of SARS-CoV-2 genetic markers in wastewater samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target nonstructural (ORF1ab) and structural-nucleocapsid (N) protein genes of SARS-CoV-2, according to a validated experimental protocol. Physiological, environmental, and biological parameters were also measured following the American Public Health Association (APHA) standard protocols. SARS-CoV-2 viral shedding in wastewater peaked when the highest number of COVID-19 cases were clinically diagnosed. Throughout the study period, 7450 to 23,000 gene copies/1000 mL were detected, where we identified 47 % (57/120) positive samples from WS and 35 % (128/360) from CS. When the COVID-19 patient number was the lowest (2), the highest CT value (39.4; i.e., lowest copy number) was identified from WS. On the other hand, when the COVID-19 patients were the highest (6), the lowest CT value (25.2 i.e., highest copy numbers) was obtained from WS. An advance signal of increased SARS-CoV-2 viral load from the COVID-19 patient was found in WS earlier than in the CS. Using customized primer sets in a traditional PCR approach, we confirmed that all SARS-CoV-2 variants identified in both CS and WS were Delta variants (B.1.617.2). To our knowledge, this is the first follow-up study to determine a temporal relationship between COVID-19 patients and their discharge of SARS-CoV-2 RNA genetic markers in wastewater from a single house including all family members for clinical sampling from a developing country (Bangladesh), where a proper sewage system is lacking. The salient findings of the study indicate that monitoring the genetic markers of the SARS-CoV-2 virus in wastewater could identify COVID-19 cases, which reduces the burden on the public health system during COVID-19 pandemics. |
format | Online Article Text |
id | pubmed-9576909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95769092022-10-18 A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity Islam, Md. Aminul Rahman, Md. Arifur Jakariya, Md. Bahadur, Newaz Mohammed Hossen, Foysal Mukharjee, Sanjoy Kumar Hossain, Mohammad Salim Tasneem, Atkeeya Haque, Md. Atiqul Sera, Francesco Jahid, Iqbal Kabir Ahmed, Tanvir Hasan, Mohammad Nayeem Islam, Md. Tahmidul Hossain, Amzad Amin, Ruhul Tiwari, Ananda Didar-Ul-Alam, Md Dhama, Kuldeep Bhattacharya, Prosun Ahmed, Firoz Sci Total Environ Article Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surveillance (WBS) could reduce the burden on the public health system, management of pandemics, help to make informed decisions, and protect public health. In this study, a house with COVID-19 patients was targeted for monitoring the prevalence of SARS-CoV-2 genetic markers in wastewater samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target nonstructural (ORF1ab) and structural-nucleocapsid (N) protein genes of SARS-CoV-2, according to a validated experimental protocol. Physiological, environmental, and biological parameters were also measured following the American Public Health Association (APHA) standard protocols. SARS-CoV-2 viral shedding in wastewater peaked when the highest number of COVID-19 cases were clinically diagnosed. Throughout the study period, 7450 to 23,000 gene copies/1000 mL were detected, where we identified 47 % (57/120) positive samples from WS and 35 % (128/360) from CS. When the COVID-19 patient number was the lowest (2), the highest CT value (39.4; i.e., lowest copy number) was identified from WS. On the other hand, when the COVID-19 patients were the highest (6), the lowest CT value (25.2 i.e., highest copy numbers) was obtained from WS. An advance signal of increased SARS-CoV-2 viral load from the COVID-19 patient was found in WS earlier than in the CS. Using customized primer sets in a traditional PCR approach, we confirmed that all SARS-CoV-2 variants identified in both CS and WS were Delta variants (B.1.617.2). To our knowledge, this is the first follow-up study to determine a temporal relationship between COVID-19 patients and their discharge of SARS-CoV-2 RNA genetic markers in wastewater from a single house including all family members for clinical sampling from a developing country (Bangladesh), where a proper sewage system is lacking. The salient findings of the study indicate that monitoring the genetic markers of the SARS-CoV-2 virus in wastewater could identify COVID-19 cases, which reduces the burden on the public health system during COVID-19 pandemics. The Authors. Published by Elsevier B.V. 2023-02-01 2022-10-18 /pmc/articles/PMC9576909/ /pubmed/36265620 http://dx.doi.org/10.1016/j.scitotenv.2022.159350 Text en © 2022 The Authors 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, Md. Aminul Rahman, Md. Arifur Jakariya, Md. Bahadur, Newaz Mohammed Hossen, Foysal Mukharjee, Sanjoy Kumar Hossain, Mohammad Salim Tasneem, Atkeeya Haque, Md. Atiqul Sera, Francesco Jahid, Iqbal Kabir Ahmed, Tanvir Hasan, Mohammad Nayeem Islam, Md. Tahmidul Hossain, Amzad Amin, Ruhul Tiwari, Ananda Didar-Ul-Alam, Md Dhama, Kuldeep Bhattacharya, Prosun Ahmed, Firoz A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title | A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title_full | A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title_fullStr | A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title_full_unstemmed | A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title_short | A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity |
title_sort | 30-day follow-up study on the prevalence of sars-cov-2 genetic markers in wastewater from the residence of covid-19 patient and comparison with clinical positivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576909/ https://www.ncbi.nlm.nih.gov/pubmed/36265620 http://dx.doi.org/10.1016/j.scitotenv.2022.159350 |
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