Cargando…
Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities()
Wastewater-based epidemiology (WBE) has emerged as a valuable approach for forecasting disease outbreaks in developed countries with a centralized sewage infrastructure. On the other hand, due to the absence of well-defined and systematic sewage networks, WBE is challenging to implement in developin...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225114/ https://www.ncbi.nlm.nih.gov/pubmed/35753547 http://dx.doi.org/10.1016/j.envpol.2022.119679 |
_version_ | 1784733539902685184 |
---|---|
author | Jakariya, Md. Ahmed, Firoz Islam, Md. Aminul Al Marzan, Abdullah Hasan, Mohammad Nayeem Hossain, Maqsud Ahmed, Tanvir Hossain, Ahmed Reza, Hasan Mahmud Hossen, Foysal Nahla, Turasa Rahman, Mohammad Moshiur Bahadur, Newaz Mohammed Islam, Md. Tahmidul Didar-ul-Alam, Md. Mow, Nowrin Jahan, Hasin Barceló, Damiá Bibby, Kyle Bhattacharya, Prosun |
author_facet | Jakariya, Md. Ahmed, Firoz Islam, Md. Aminul Al Marzan, Abdullah Hasan, Mohammad Nayeem Hossain, Maqsud Ahmed, Tanvir Hossain, Ahmed Reza, Hasan Mahmud Hossen, Foysal Nahla, Turasa Rahman, Mohammad Moshiur Bahadur, Newaz Mohammed Islam, Md. Tahmidul Didar-ul-Alam, Md. Mow, Nowrin Jahan, Hasin Barceló, Damiá Bibby, Kyle Bhattacharya, Prosun |
author_sort | Jakariya, Md. |
collection | PubMed |
description | Wastewater-based epidemiology (WBE) has emerged as a valuable approach for forecasting disease outbreaks in developed countries with a centralized sewage infrastructure. On the other hand, due to the absence of well-defined and systematic sewage networks, WBE is challenging to implement in developing countries like Bangladesh where most people live in rural areas. Identification of appropriate locations for rural Hotspot Based Sampling (HBS) and urban Drain Based Sampling (DBS) are critical to enable WBE based monitoring system. We investigated the best sampling locations from both urban and rural areas in Bangladesh after evaluating the sanitation infrastructure for forecasting COVID-19 prevalence. A total of 168 wastewater samples were collected from 14 districts of Bangladesh during each of the two peak pandemic seasons. RT-qPCR commercial kits were used to target ORF1ab and N genes. The presence of SARS-CoV-2 genetic materials was found in 98% (165/168) and 95% (160/168) wastewater samples in the first and second round sampling, respectively. Although wastewater effluents from both the marketplace and isolation center drains were found with the highest amount of genetic materials according to the mixed model, quantifiable SARS-CoV-2 RNAs were also identified in the other four sampling sites. Hence, wastewater samples of the marketplace in rural areas and isolation centers in urban areas can be considered the appropriate sampling sites to detect contagion hotspots. This is the first complete study to detect SARS-CoV-2 genetic components in wastewater samples collected from rural and urban areas for monitoring the COVID-19 pandemic. The results based on the study revealed a correlation between viral copy numbers in wastewater samples and SARS-CoV-2 positive cases reported by the Directorate General of Health Services (DGHS) as part of the national surveillance program for COVID-19 prevention. The findings of this study will help in setting strategies and guidelines for the selection of appropriate sampling sites, which will facilitate in development of comprehensive wastewater-based epidemiological systems for surveillance of rural and urban areas of low-income countries with inadequate sewage infrastructure. |
format | Online Article Text |
id | pubmed-9225114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92251142022-06-24 Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() Jakariya, Md. Ahmed, Firoz Islam, Md. Aminul Al Marzan, Abdullah Hasan, Mohammad Nayeem Hossain, Maqsud Ahmed, Tanvir Hossain, Ahmed Reza, Hasan Mahmud Hossen, Foysal Nahla, Turasa Rahman, Mohammad Moshiur Bahadur, Newaz Mohammed Islam, Md. Tahmidul Didar-ul-Alam, Md. Mow, Nowrin Jahan, Hasin Barceló, Damiá Bibby, Kyle Bhattacharya, Prosun Environ Pollut Article Wastewater-based epidemiology (WBE) has emerged as a valuable approach for forecasting disease outbreaks in developed countries with a centralized sewage infrastructure. On the other hand, due to the absence of well-defined and systematic sewage networks, WBE is challenging to implement in developing countries like Bangladesh where most people live in rural areas. Identification of appropriate locations for rural Hotspot Based Sampling (HBS) and urban Drain Based Sampling (DBS) are critical to enable WBE based monitoring system. We investigated the best sampling locations from both urban and rural areas in Bangladesh after evaluating the sanitation infrastructure for forecasting COVID-19 prevalence. A total of 168 wastewater samples were collected from 14 districts of Bangladesh during each of the two peak pandemic seasons. RT-qPCR commercial kits were used to target ORF1ab and N genes. The presence of SARS-CoV-2 genetic materials was found in 98% (165/168) and 95% (160/168) wastewater samples in the first and second round sampling, respectively. Although wastewater effluents from both the marketplace and isolation center drains were found with the highest amount of genetic materials according to the mixed model, quantifiable SARS-CoV-2 RNAs were also identified in the other four sampling sites. Hence, wastewater samples of the marketplace in rural areas and isolation centers in urban areas can be considered the appropriate sampling sites to detect contagion hotspots. This is the first complete study to detect SARS-CoV-2 genetic components in wastewater samples collected from rural and urban areas for monitoring the COVID-19 pandemic. The results based on the study revealed a correlation between viral copy numbers in wastewater samples and SARS-CoV-2 positive cases reported by the Directorate General of Health Services (DGHS) as part of the national surveillance program for COVID-19 prevention. The findings of this study will help in setting strategies and guidelines for the selection of appropriate sampling sites, which will facilitate in development of comprehensive wastewater-based epidemiological systems for surveillance of rural and urban areas of low-income countries with inadequate sewage infrastructure. The Authors. Published by Elsevier Ltd. 2022-10-15 2022-06-23 /pmc/articles/PMC9225114/ /pubmed/35753547 http://dx.doi.org/10.1016/j.envpol.2022.119679 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 Jakariya, Md. Ahmed, Firoz Islam, Md. Aminul Al Marzan, Abdullah Hasan, Mohammad Nayeem Hossain, Maqsud Ahmed, Tanvir Hossain, Ahmed Reza, Hasan Mahmud Hossen, Foysal Nahla, Turasa Rahman, Mohammad Moshiur Bahadur, Newaz Mohammed Islam, Md. Tahmidul Didar-ul-Alam, Md. Mow, Nowrin Jahan, Hasin Barceló, Damiá Bibby, Kyle Bhattacharya, Prosun Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title | Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title_full | Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title_fullStr | Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title_full_unstemmed | Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title_short | Wastewater-based epidemiological surveillance to monitor the prevalence of SARS-CoV-2 in developing countries with onsite sanitation facilities() |
title_sort | wastewater-based epidemiological surveillance to monitor the prevalence of sars-cov-2 in developing countries with onsite sanitation facilities() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225114/ https://www.ncbi.nlm.nih.gov/pubmed/35753547 http://dx.doi.org/10.1016/j.envpol.2022.119679 |
work_keys_str_mv | AT jakariyamd wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT ahmedfiroz wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT islammdaminul wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT almarzanabdullah wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT hasanmohammadnayeem wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT hossainmaqsud wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT ahmedtanvir wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT hossainahmed wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT rezahasanmahmud wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT hossenfoysal wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT nahlaturasa wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT rahmanmohammadmoshiur wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT bahadurnewazmohammed wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT islammdtahmidul wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT didarulalammd wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT mownowrin wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT jahanhasin wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT barcelodamia wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT bibbykyle wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities AT bhattacharyaprosun wastewaterbasedepidemiologicalsurveillancetomonitortheprevalenceofsarscov2indevelopingcountrieswithonsitesanitationfacilities |