Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina
Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the perio...
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Veröffentlicht in: | The Science of the total environment 2021-11, Vol.796, p.148887-148887, Article 148887 |
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creator | Giraud-Billoud, Maximiliano Cuervo, Paula Altamirano, Jorgelina C. Pizarro, Marcela Aranibar, Julieta N. Catapano, Adolfo Cuello, Héctor Masachessi, Gisela Vega, Israel A. |
description | Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the period July 2020 to January 2021. We combined the use of WBE of two wastewater treatment plants with epidemiological surveillance of the corresponding populations. We applied two viral concentration methods (polyethylene glycol precipitation and aluminum-based adsorption-flocculation) and RNA isolation methods in each wastewater sample to increase the possibility of detection and quantification of nucleocapsid markers (N1 and N2) of SARS-CoV-2 by RT-qPCR. Overall, our results allowed us to trace the rise, exponential growth, plateau, and fall of SARS-CoV-2 infections for 26 weeks. Individual analysis for each wastewater treatment plant showed a positive correlation between the viral load of SARS-CoV-2 genetic markers and COVID-19 cases that were diagnosed per week. Our findings indicate that WBE is a useful epidemiological indicator to anticipate the increase in COVID-19 cases and monitor the advance of the pandemic and different waves of infections.
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•Wastewater-based epidemiology applied for monitoring COVID-19 in Mendoza, Argentina•SARS-COV-2 genetic markers detection and quantification were made in WWTPs.•Increases in SARS-CoV-2 genetic markers anticipated increases in weekly COVID-19 cases.•Wastewater-based epidemiology was suitable to evaluate SARS-CoV-2 circulation. |
doi_str_mv | 10.1016/j.scitotenv.2021.148887 |
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[Display omitted]
•Wastewater-based epidemiology applied for monitoring COVID-19 in Mendoza, Argentina•SARS-COV-2 genetic markers detection and quantification were made in WWTPs.•Increases in SARS-CoV-2 genetic markers anticipated increases in weekly COVID-19 cases.•Wastewater-based epidemiology was suitable to evaluate SARS-CoV-2 circulation.</description><identifier>ISSN: 0048-9697</identifier><identifier>ISSN: 1879-1026</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2021.148887</identifier><identifier>PMID: 34274669</identifier><language>eng</language><publisher>AMSTERDAM: Elsevier B.V</publisher><subject>Argentina - epidemiology ; COVID-19 ; Environmental Sciences ; Environmental Sciences & Ecology ; Epidemiologic surveillance ; Humans ; Life Sciences & Biomedicine ; Pandemic ; RNA, Viral ; SARS-CoV-2 ; Science & Technology ; Wastewater ; Wastewater-based epidemiology</subject><ispartof>The Science of the total environment, 2021-11, Vol.796, p.148887-148887, Article 148887</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright © 2021 Elsevier B.V. All rights reserved.</rights><rights>2021 Elsevier B.V. All rights reserved. 2021 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>37</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000698511100013</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c541t-836768d4d713d7aaf963dd1e222b07d86f749d5c45ec47a27046a14ad32808ff3</citedby><cites>FETCH-LOGICAL-c541t-836768d4d713d7aaf963dd1e222b07d86f749d5c45ec47a27046a14ad32808ff3</cites><orcidid>0000-0003-0784-2545 ; 0000-0002-4022-3810</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.scitotenv.2021.148887$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,315,781,785,886,3551,27929,27930,39263,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34274669$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Giraud-Billoud, Maximiliano</creatorcontrib><creatorcontrib>Cuervo, Paula</creatorcontrib><creatorcontrib>Altamirano, Jorgelina C.</creatorcontrib><creatorcontrib>Pizarro, Marcela</creatorcontrib><creatorcontrib>Aranibar, Julieta N.</creatorcontrib><creatorcontrib>Catapano, Adolfo</creatorcontrib><creatorcontrib>Cuello, Héctor</creatorcontrib><creatorcontrib>Masachessi, Gisela</creatorcontrib><creatorcontrib>Vega, Israel A.</creatorcontrib><title>Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina</title><title>The Science of the total environment</title><addtitle>SCI TOTAL ENVIRON</addtitle><addtitle>Sci Total Environ</addtitle><description>Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the period July 2020 to January 2021. We combined the use of WBE of two wastewater treatment plants with epidemiological surveillance of the corresponding populations. We applied two viral concentration methods (polyethylene glycol precipitation and aluminum-based adsorption-flocculation) and RNA isolation methods in each wastewater sample to increase the possibility of detection and quantification of nucleocapsid markers (N1 and N2) of SARS-CoV-2 by RT-qPCR. Overall, our results allowed us to trace the rise, exponential growth, plateau, and fall of SARS-CoV-2 infections for 26 weeks. Individual analysis for each wastewater treatment plant showed a positive correlation between the viral load of SARS-CoV-2 genetic markers and COVID-19 cases that were diagnosed per week. Our findings indicate that WBE is a useful epidemiological indicator to anticipate the increase in COVID-19 cases and monitor the advance of the pandemic and different waves of infections.
[Display omitted]
•Wastewater-based epidemiology applied for monitoring COVID-19 in Mendoza, Argentina•SARS-COV-2 genetic markers detection and quantification were made in WWTPs.•Increases in SARS-CoV-2 genetic markers anticipated increases in weekly COVID-19 cases.•Wastewater-based epidemiology was suitable to evaluate SARS-CoV-2 circulation.</description><subject>Argentina - epidemiology</subject><subject>COVID-19</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Epidemiologic surveillance</subject><subject>Humans</subject><subject>Life Sciences & Biomedicine</subject><subject>Pandemic</subject><subject>RNA, Viral</subject><subject>SARS-CoV-2</subject><subject>Science & Technology</subject><subject>Wastewater</subject><subject>Wastewater-based epidemiology</subject><issn>0048-9697</issn><issn>1879-1026</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><recordid>eNqNkV2P1CAYRhujccfVv6BcmmhHoBTojUnT-JXsarKr3hKmvJ1l0oFZoDPRXy-TjhO9Um4g4TwPH6coXhC8JJjwN5tl7G3yCdx-STElS8KklOJBsSBSNCXBlD8sFhgzWTa8ERfFkxg3OA8hyePiomJUMM6bRXF37V0uCtatkR_QbXtzW3b-e0nRzecWWYcOOiY46AQB6Yi0Q7CzBrbWj35tez2iOIU92HHUrgeUvB-PqWtwxv_Ur1Eb1uCSdfpp8WjQY4Rnp_my-Pb-3dfuY3n15cOnrr0q-5qRVMqKCy4NM4JURmg9NLwyhgCldIWFkXwQrDF1z2romdBUYMY1YdpUVGI5DNVl8Xbu3U2rLZg-nx70qHbBbnX4oby26u8dZ-_U2u-VZJTjusoFL08Fwd9PEJPa2tjD8YHgp6hoXVeUVY3kGRUz2gcfY4DhfAzB6uhJbdTZkzp6UrOnnHz-5y3Pud9iMiBn4AArP-QSyN97xrJI3siaEJJXpOps0sl61_nJpRx99f_RTLczDVnK3kJQp4SxAfqkjLf_fM0vr9DKcA</recordid><startdate>20211120</startdate><enddate>20211120</enddate><creator>Giraud-Billoud, Maximiliano</creator><creator>Cuervo, Paula</creator><creator>Altamirano, Jorgelina C.</creator><creator>Pizarro, Marcela</creator><creator>Aranibar, Julieta N.</creator><creator>Catapano, Adolfo</creator><creator>Cuello, Héctor</creator><creator>Masachessi, Gisela</creator><creator>Vega, Israel A.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0784-2545</orcidid><orcidid>https://orcid.org/0000-0002-4022-3810</orcidid></search><sort><creationdate>20211120</creationdate><title>Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina</title><author>Giraud-Billoud, Maximiliano ; Cuervo, Paula ; Altamirano, Jorgelina C. ; Pizarro, Marcela ; Aranibar, Julieta N. ; Catapano, Adolfo ; Cuello, Héctor ; Masachessi, Gisela ; Vega, Israel A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-836768d4d713d7aaf963dd1e222b07d86f749d5c45ec47a27046a14ad32808ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Argentina - epidemiology</topic><topic>COVID-19</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Epidemiologic surveillance</topic><topic>Humans</topic><topic>Life Sciences & Biomedicine</topic><topic>Pandemic</topic><topic>RNA, Viral</topic><topic>SARS-CoV-2</topic><topic>Science & Technology</topic><topic>Wastewater</topic><topic>Wastewater-based epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Giraud-Billoud, Maximiliano</creatorcontrib><creatorcontrib>Cuervo, Paula</creatorcontrib><creatorcontrib>Altamirano, Jorgelina C.</creatorcontrib><creatorcontrib>Pizarro, Marcela</creatorcontrib><creatorcontrib>Aranibar, Julieta N.</creatorcontrib><creatorcontrib>Catapano, Adolfo</creatorcontrib><creatorcontrib>Cuello, Héctor</creatorcontrib><creatorcontrib>Masachessi, Gisela</creatorcontrib><creatorcontrib>Vega, Israel A.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Giraud-Billoud, Maximiliano</au><au>Cuervo, Paula</au><au>Altamirano, Jorgelina C.</au><au>Pizarro, Marcela</au><au>Aranibar, Julieta N.</au><au>Catapano, Adolfo</au><au>Cuello, Héctor</au><au>Masachessi, Gisela</au><au>Vega, Israel A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina</atitle><jtitle>The Science of the total environment</jtitle><stitle>SCI TOTAL ENVIRON</stitle><addtitle>Sci Total Environ</addtitle><date>2021-11-20</date><risdate>2021</risdate><volume>796</volume><spage>148887</spage><epage>148887</epage><pages>148887-148887</pages><artnum>148887</artnum><issn>0048-9697</issn><issn>1879-1026</issn><eissn>1879-1026</eissn><abstract>Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the period July 2020 to January 2021. We combined the use of WBE of two wastewater treatment plants with epidemiological surveillance of the corresponding populations. We applied two viral concentration methods (polyethylene glycol precipitation and aluminum-based adsorption-flocculation) and RNA isolation methods in each wastewater sample to increase the possibility of detection and quantification of nucleocapsid markers (N1 and N2) of SARS-CoV-2 by RT-qPCR. Overall, our results allowed us to trace the rise, exponential growth, plateau, and fall of SARS-CoV-2 infections for 26 weeks. Individual analysis for each wastewater treatment plant showed a positive correlation between the viral load of SARS-CoV-2 genetic markers and COVID-19 cases that were diagnosed per week. Our findings indicate that WBE is a useful epidemiological indicator to anticipate the increase in COVID-19 cases and monitor the advance of the pandemic and different waves of infections.
[Display omitted]
•Wastewater-based epidemiology applied for monitoring COVID-19 in Mendoza, Argentina•SARS-COV-2 genetic markers detection and quantification were made in WWTPs.•Increases in SARS-CoV-2 genetic markers anticipated increases in weekly COVID-19 cases.•Wastewater-based epidemiology was suitable to evaluate SARS-CoV-2 circulation.</abstract><cop>AMSTERDAM</cop><pub>Elsevier B.V</pub><pmid>34274669</pmid><doi>10.1016/j.scitotenv.2021.148887</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-0784-2545</orcidid><orcidid>https://orcid.org/0000-0002-4022-3810</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Argentina - epidemiology COVID-19 Environmental Sciences Environmental Sciences & Ecology Epidemiologic surveillance Humans Life Sciences & Biomedicine Pandemic RNA, Viral SARS-CoV-2 Science & Technology Wastewater Wastewater-based epidemiology |
title | Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina |
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