SARS-CoV-2 Wastewater Surveillance in Ten Cities from Mexico
We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 WW treatment plants (WWTP) and 5 COVID-19 hospi...
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| Veröffentlicht in: | Water (Basel) 2023-02, Vol.15 (4), p.799 |
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| creator | Schilmann, Astrid Sánchez-Pájaro, Andrés Ovilla-Muñoz, Marbella T Téllez-Sosa, Juan Bravo-Romero, Sugey Bahena-Reyes, Sara Yuvisela Lobato, Margarita Martínez-Barnetche, Jesús Alpuche-Aranda, Celia Mercedes Lamadrid-Figueroa, Héctor Barrientos-Gutiérrez, Tonatiuh |
| description | We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 WW treatment plants (WWTP) and 5 COVID-19 hospitals in major urban conglomerates in Mexico and collected biweekly 24-h flow-adjusted composite samples during October–November 2020. We concentrated WW samples by polyethylene glycol precipitation and employed quantitative PCR (RT-qPCR) assays, targeting the nucleoprotein (N1 and N2) genes. We detected and quantified SARS-CoV-2 RNA in 88% and 58% of the raw WW samples from WWTPs and COVID-19 hospitals, respectively. The WW RNA daily loads lead the active cases by more than one month in large and medium WWTP sites. WW estimated that cases were 2 to 20-fold higher than registered active cases. Developing a continuous monitoring surveillance system for SARS-CoV-2 community transmission through WW is feasible, informative, and recognizes three main challenges: (1) WW system data (catchment area, population served), (2) capacity to maintain the cold-chain and process samples, and (3) supplies and personnel to ensure standardized procedures. |
| doi_str_mv | 10.3390/w15040799 |
| format | Article |
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We selected 10 WW treatment plants (WWTP) and 5 COVID-19 hospitals in major urban conglomerates in Mexico and collected biweekly 24-h flow-adjusted composite samples during October–November 2020. We concentrated WW samples by polyethylene glycol precipitation and employed quantitative PCR (RT-qPCR) assays, targeting the nucleoprotein (N1 and N2) genes. We detected and quantified SARS-CoV-2 RNA in 88% and 58% of the raw WW samples from WWTPs and COVID-19 hospitals, respectively. The WW RNA daily loads lead the active cases by more than one month in large and medium WWTP sites. WW estimated that cases were 2 to 20-fold higher than registered active cases. Developing a continuous monitoring surveillance system for SARS-CoV-2 community transmission through WW is feasible, informative, and recognizes three main challenges: (1) WW system data (catchment area, population served), (2) capacity to maintain the cold-chain and process samples, and (3) supplies and personnel to ensure standardized procedures.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w15040799</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Asymptomatic ; Catchment areas ; Chemical oxygen demand ; Cities ; cold chain ; Collaboration ; Comparative analysis ; Coronaviruses ; COVID-19 ; COVID-19 infection ; Effluents ; Feasibility ; Health aspects ; Health surveillance ; Hospitals ; human resources ; Infection ; Infections ; Lead time ; Medical research ; Medicine, Experimental ; Metropolitan areas ; Mexico ; Monitoring ; nucleoproteins ; Pandemics ; Polyethylene glycol ; Polyols ; quantitative polymerase chain reaction ; RNA ; Severe acute respiratory syndrome coronavirus 2 ; Sewer systems ; Surveillance systems ; Telemedicine ; Wastewater ; Wastewater treatment plants ; water ; watersheds</subject><ispartof>Water (Basel), 2023-02, Vol.15 (4), p.799</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Developing a continuous monitoring surveillance system for SARS-CoV-2 community transmission through WW is feasible, informative, and recognizes three main challenges: (1) WW system data (catchment area, population served), (2) capacity to maintain the cold-chain and process samples, and (3) supplies and personnel to ensure standardized procedures.</description><subject>Asymptomatic</subject><subject>Catchment areas</subject><subject>Chemical oxygen demand</subject><subject>Cities</subject><subject>cold chain</subject><subject>Collaboration</subject><subject>Comparative analysis</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 infection</subject><subject>Effluents</subject><subject>Feasibility</subject><subject>Health aspects</subject><subject>Health surveillance</subject><subject>Hospitals</subject><subject>human resources</subject><subject>Infection</subject><subject>Infections</subject><subject>Lead time</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metropolitan areas</subject><subject>Mexico</subject><subject>Monitoring</subject><subject>nucleoproteins</subject><subject>Pandemics</subject><subject>Polyethylene glycol</subject><subject>Polyols</subject><subject>quantitative polymerase chain reaction</subject><subject>RNA</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sewer systems</subject><subject>Surveillance systems</subject><subject>Telemedicine</subject><subject>Wastewater</subject><subject>Wastewater treatment plants</subject><subject>water</subject><subject>watersheds</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkUtLw0AQx4MoWKoHv0HAix5S95ndgJdSfEFFsFWPy2YzK1vyqLuJ1W9vQsUXzhxmGH7_PzNMFB1hNKE0Q2cbzBFDIst2ohFBgiaMMbz7o9-PDkNYoT5YJiVHo-h8Mb1fJLPmMSHxkw4tbHQLPl50_hVcWeraQOzqeAl1PHOtgxBb31TxLbw50xxEe1aXAQ4_6zh6uLxYzq6T-d3VzWw6TwzNSJsYTgtOuSUiz3mm-0rTXDIm05ymqWRWIkZyxgrBcq4LAMapJUBSI7UxwOk4Otn6rn3z0kFoVeWCgWE9aLqgKOYUizTNBvT4D7pqOl_32ykiRMZT1rPf1LMuQbnaNq3XZjBVU8EJxViigZr8Q_VZQNVfX4N1_fyX4HQrML4JwYNVa-8q7d8VRmr4kPr6EP0AWPl90Q</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Schilmann, Astrid</creator><creator>Sánchez-Pájaro, Andrés</creator><creator>Ovilla-Muñoz, Marbella T</creator><creator>Téllez-Sosa, Juan</creator><creator>Bravo-Romero, Sugey</creator><creator>Bahena-Reyes, Sara Yuvisela</creator><creator>Lobato, Margarita</creator><creator>Martínez-Barnetche, Jesús</creator><creator>Alpuche-Aranda, Celia Mercedes</creator><creator>Lamadrid-Figueroa, Héctor</creator><creator>Barrientos-Gutiérrez, Tonatiuh</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-8775-8399</orcidid><orcidid>https://orcid.org/0000-0002-6302-4320</orcidid><orcidid>https://orcid.org/0000-0002-0826-9106</orcidid><orcidid>https://orcid.org/0000-0003-4706-8777</orcidid></search><sort><creationdate>20230201</creationdate><title>SARS-CoV-2 Wastewater Surveillance in Ten Cities from Mexico</title><author>Schilmann, Astrid ; Sánchez-Pájaro, Andrés ; Ovilla-Muñoz, Marbella T ; Téllez-Sosa, Juan ; Bravo-Romero, Sugey ; Bahena-Reyes, Sara Yuvisela ; Lobato, Margarita ; Martínez-Barnetche, Jesús ; Alpuche-Aranda, Celia Mercedes ; Lamadrid-Figueroa, Héctor ; Barrientos-Gutiérrez, Tonatiuh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-c53d535f27bb59af2736b84486b36684f8042b44d74b5adee453f2e26c8acce53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Asymptomatic</topic><topic>Catchment areas</topic><topic>Chemical oxygen demand</topic><topic>Cities</topic><topic>cold chain</topic><topic>Collaboration</topic><topic>Comparative analysis</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 infection</topic><topic>Effluents</topic><topic>Feasibility</topic><topic>Health aspects</topic><topic>Health surveillance</topic><topic>Hospitals</topic><topic>human resources</topic><topic>Infection</topic><topic>Infections</topic><topic>Lead time</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metropolitan areas</topic><topic>Mexico</topic><topic>Monitoring</topic><topic>nucleoproteins</topic><topic>Pandemics</topic><topic>Polyethylene glycol</topic><topic>Polyols</topic><topic>quantitative polymerase chain reaction</topic><topic>RNA</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Sewer systems</topic><topic>Surveillance systems</topic><topic>Telemedicine</topic><topic>Wastewater</topic><topic>Wastewater treatment plants</topic><topic>water</topic><topic>watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schilmann, Astrid</creatorcontrib><creatorcontrib>Sánchez-Pájaro, Andrés</creatorcontrib><creatorcontrib>Ovilla-Muñoz, Marbella T</creatorcontrib><creatorcontrib>Téllez-Sosa, Juan</creatorcontrib><creatorcontrib>Bravo-Romero, Sugey</creatorcontrib><creatorcontrib>Bahena-Reyes, Sara Yuvisela</creatorcontrib><creatorcontrib>Lobato, Margarita</creatorcontrib><creatorcontrib>Martínez-Barnetche, Jesús</creatorcontrib><creatorcontrib>Alpuche-Aranda, Celia Mercedes</creatorcontrib><creatorcontrib>Lamadrid-Figueroa, Héctor</creatorcontrib><creatorcontrib>Barrientos-Gutiérrez, Tonatiuh</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schilmann, Astrid</au><au>Sánchez-Pájaro, Andrés</au><au>Ovilla-Muñoz, Marbella T</au><au>Téllez-Sosa, Juan</au><au>Bravo-Romero, Sugey</au><au>Bahena-Reyes, Sara Yuvisela</au><au>Lobato, Margarita</au><au>Martínez-Barnetche, Jesús</au><au>Alpuche-Aranda, Celia Mercedes</au><au>Lamadrid-Figueroa, Héctor</au><au>Barrientos-Gutiérrez, Tonatiuh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SARS-CoV-2 Wastewater Surveillance in Ten Cities from Mexico</atitle><jtitle>Water (Basel)</jtitle><date>2023-02-01</date><risdate>2023</risdate><volume>15</volume><issue>4</issue><spage>799</spage><pages>799-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 WW treatment plants (WWTP) and 5 COVID-19 hospitals in major urban conglomerates in Mexico and collected biweekly 24-h flow-adjusted composite samples during October–November 2020. We concentrated WW samples by polyethylene glycol precipitation and employed quantitative PCR (RT-qPCR) assays, targeting the nucleoprotein (N1 and N2) genes. We detected and quantified SARS-CoV-2 RNA in 88% and 58% of the raw WW samples from WWTPs and COVID-19 hospitals, respectively. The WW RNA daily loads lead the active cases by more than one month in large and medium WWTP sites. WW estimated that cases were 2 to 20-fold higher than registered active cases. Developing a continuous monitoring surveillance system for SARS-CoV-2 community transmission through WW is feasible, informative, and recognizes three main challenges: (1) WW system data (catchment area, population served), (2) capacity to maintain the cold-chain and process samples, and (3) supplies and personnel to ensure standardized procedures.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w15040799</doi><orcidid>https://orcid.org/0000-0001-8775-8399</orcidid><orcidid>https://orcid.org/0000-0002-6302-4320</orcidid><orcidid>https://orcid.org/0000-0002-0826-9106</orcidid><orcidid>https://orcid.org/0000-0003-4706-8777</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Asymptomatic Catchment areas Chemical oxygen demand Cities cold chain Collaboration Comparative analysis Coronaviruses COVID-19 COVID-19 infection Effluents Feasibility Health aspects Health surveillance Hospitals human resources Infection Infections Lead time Medical research Medicine, Experimental Metropolitan areas Mexico Monitoring nucleoproteins Pandemics Polyethylene glycol Polyols quantitative polymerase chain reaction RNA Severe acute respiratory syndrome coronavirus 2 Sewer systems Surveillance systems Telemedicine Wastewater Wastewater treatment plants water watersheds |
| title | SARS-CoV-2 Wastewater Surveillance in Ten Cities from Mexico |
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