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Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study

SARS-CoV-2 pandemic is having a devastating effect on human lives. Recent reports have shown that majority of the individuals recovered from COVID-19 have serious health complications, which is going to be a huge economic burden globally. Given the wide-spread transmission of SARS-CoV-2 it is almost...

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Autores principales: Hemalatha, Manupati, Kiran, Uday, Kuncha, Santosh Kumar, Kopperi, Harishankar, Gokulan, C.G., Mohan, S. Venkata, Mishra, Rakesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787060/
https://www.ncbi.nlm.nih.gov/pubmed/33736319
http://dx.doi.org/10.1016/j.scitotenv.2020.144704
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author Hemalatha, Manupati
Kiran, Uday
Kuncha, Santosh Kumar
Kopperi, Harishankar
Gokulan, C.G.
Mohan, S. Venkata
Mishra, Rakesh K.
author_facet Hemalatha, Manupati
Kiran, Uday
Kuncha, Santosh Kumar
Kopperi, Harishankar
Gokulan, C.G.
Mohan, S. Venkata
Mishra, Rakesh K.
author_sort Hemalatha, Manupati
collection PubMed
description SARS-CoV-2 pandemic is having a devastating effect on human lives. Recent reports have shown that majority of the individuals recovered from COVID-19 have serious health complications, which is going to be a huge economic burden globally. Given the wide-spread transmission of SARS-CoV-2 it is almost impossible to test every individual in densely populated countries. Recent reports have shown that sewage-based surveillance can be used as holistic approach to understand the spread of the pandemic within a population or area. Here we have estimated the spread of SARS-CoV-2 in the city of Hyderabad, India, which is a home for nearly 10 million people. The sewage samples were collected from all the major sewage treatment plants (STPs) and were processed for detecting the viral genome using the standard Reverse Transcription Polymerase Chain Reaction (RT-PCR) method. Interestingly, inlet samples of STPs were positive for SARS-CoV-2, while the outlets were negative, which indicates that the standard sewage treatment methods are efficient in eliminating the SARS-CoV-2 viral particles. Based on the detected viral gene copies per litre and viral particle shedding per individual, the total number of individuals exposed to SARS-CoV-2 was estimated. Through this study we suggest that sewage-based surveillance is an effective approach to study the infection dynamics, which helps in efficient management of the SARS-CoV-2 spread.
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spelling pubmed-77870602021-01-06 Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study Hemalatha, Manupati Kiran, Uday Kuncha, Santosh Kumar Kopperi, Harishankar Gokulan, C.G. Mohan, S. Venkata Mishra, Rakesh K. Sci Total Environ Article SARS-CoV-2 pandemic is having a devastating effect on human lives. Recent reports have shown that majority of the individuals recovered from COVID-19 have serious health complications, which is going to be a huge economic burden globally. Given the wide-spread transmission of SARS-CoV-2 it is almost impossible to test every individual in densely populated countries. Recent reports have shown that sewage-based surveillance can be used as holistic approach to understand the spread of the pandemic within a population or area. Here we have estimated the spread of SARS-CoV-2 in the city of Hyderabad, India, which is a home for nearly 10 million people. The sewage samples were collected from all the major sewage treatment plants (STPs) and were processed for detecting the viral genome using the standard Reverse Transcription Polymerase Chain Reaction (RT-PCR) method. Interestingly, inlet samples of STPs were positive for SARS-CoV-2, while the outlets were negative, which indicates that the standard sewage treatment methods are efficient in eliminating the SARS-CoV-2 viral particles. Based on the detected viral gene copies per litre and viral particle shedding per individual, the total number of individuals exposed to SARS-CoV-2 was estimated. Through this study we suggest that sewage-based surveillance is an effective approach to study the infection dynamics, which helps in efficient management of the SARS-CoV-2 spread. Elsevier B.V. 2021-05-10 2021-01-06 /pmc/articles/PMC7787060/ /pubmed/33736319 http://dx.doi.org/10.1016/j.scitotenv.2020.144704 Text en © 2021 Elsevier B.V. All rights reserved. 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
Hemalatha, Manupati
Kiran, Uday
Kuncha, Santosh Kumar
Kopperi, Harishankar
Gokulan, C.G.
Mohan, S. Venkata
Mishra, Rakesh K.
Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title_full Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title_fullStr Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title_full_unstemmed Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title_short Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study
title_sort surveillance of sars-cov-2 spread using wastewater-based epidemiology: comprehensive study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787060/
https://www.ncbi.nlm.nih.gov/pubmed/33736319
http://dx.doi.org/10.1016/j.scitotenv.2020.144704
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