<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhan Q</submitter><funding>Testing for America</funding><funding>NCATS NIH HHS</funding><funding>Bert L and N Kuggie Vallee Foundation</funding><funding>NIDA NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>Rockefeller Foundation</funding><funding>Pershing Square Foundation</funding><funding>National Institutes of Health</funding><funding>OpenCovidScreen Foundation</funding><funding>University of Miami</funding><funding>WorldQuant Foundation</funding><funding>Alfred P. Sloan Foundation</funding><funding>National Institute on Drug Abuse</funding><pagination>2849-2862</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10936583</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>3(9)</volume><pubmed_abstract>Wastewater-based epidemiology (WBE) has been utilized to track community infections of Coronavirus Disease 2019 (COVID-19) by detecting RNA of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), within samples collected from wastewater. The correlations between community infections and wastewater measurements of the RNA can potentially change as SARS-CoV-2 evolves into new variations by mutating. This study analyzed SARS-CoV-2 RNA, and indicators of human waste in wastewater from two sewersheds of different scales (University of Miami (UM) campus and Miami-Dade County Central District wastewater treatment plant (CDWWTP)) during five internally defined COVID-19 variant dominant periods (Initial, Pre-Delta, Delta, Omicron and Post-Omicron wave). SARS-CoV-2 RNA quantities were c</pubmed_abstract><journal>ACS ES&amp;T water</journal><pubmed_title>Correlative analysis of wastewater trends with clinical cases and hospitalizations through five dominant variant waves of COVID-19.</pubmed_title><pmcid>PMC10936583</pmcid><funding_grant_id>R01AI151059</funding_grant_id><funding_grant_id>R01 AI125416</funding_grant_id><funding_grant_id>U01 DA053941</funding_grant_id><funding_grant_id>U01DA053941</funding_grant_id><funding_grant_id>501c3</funding_grant_id><funding_grant_id>R21 AI129851</funding_grant_id><funding_grant_id>R01AI125416</funding_grant_id><funding_grant_id>R21AI129851</funding_grant_id><funding_grant_id>R01 AI151059</funding_grant_id><funding_grant_id>G-2015-13964</funding_grant_id><funding_grant_id>UM1 TR004556</funding_grant_id><pubmed_authors>Boone MM</pubmed_authors><pubmed_authors>Currall BB</pubmed_authors><pubmed_authors>Lamar WE</pubmed_authors><pubmed_authors>Babler KM</pubmed_authors><pubmed_authors>Thomas C</pubmed_authors><pubmed_authors>Kumar N</pubmed_authors><pubmed_authors>Zarnegarnia Y</pubmed_authors><pubmed_authors>Beaver CC</pubmed_authors><pubmed_authors>Sharkey ME</pubmed_authors><pubmed_authors>Stevenson M</pubmed_authors><pubmed_authors>Laine J</pubmed_authors><pubmed_authors>Roca MA</pubmed_authors><pubmed_authors>Grills GS</pubmed_authors><pubmed_authors>Williams SL</pubmed_authors><pubmed_authors>Zhan Q</pubmed_authors><pubmed_authors>Solle NS</pubmed_authors><pubmed_authors>Yin X</pubmed_authors><pubmed_authors>Cosculluela GA</pubmed_authors><pubmed_authors>Mason CE</pubmed_authors><pubmed_authors>Shukla BS</pubmed_authors><pubmed_authors>Amirali A</pubmed_authors><pubmed_authors>Cortizas EM</pubmed_authors><pubmed_authors>Reding BD</pubmed_authors><pubmed_authors>Schurer SC</pubmed_authors><pubmed_authors>Comerford S</pubmed_authors><pubmed_authors>Solo-Gabriele HM</pubmed_authors><pubmed_authors>Lyu J</pubmed_authors><pubmed_authors>Tallon JJ</pubmed_authors><pubmed_authors>Vidovic D</pubmed_authors><pubmed_authors>Cooper D</pubmed_authors><pubmed_authors>Suarez MM</pubmed_authors><pubmed_authors>Kobetz E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Correlative analysis of wastewater trends with clinical cases and hospitalizations through five dominant variant waves of COVID-19.</name><description>Wastewater-based epidemiology (WBE) has been utilized to track community infections of Coronavirus Disease 2019 (COVID-19) by detecting RNA of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), within samples collected from wastewater. The correlations between community infections and wastewater measurements of the RNA can potentially change as SARS-CoV-2 evolves into new variations by mutating. This study analyzed SARS-CoV-2 RNA, and indicators of human waste in wastewater from two sewersheds of different scales (University of Miami (UM) campus and Miami-Dade County Central District wastewater treatment plant (CDWWTP)) during five internally defined COVID-19 variant dominant periods (Initial, Pre-Delta, Delta, Omicron and Post-Omicron wave). SARS-CoV-2 RNA quantities were c</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Sep</publication><modification>2025-04-04T01:35:45.9Z</modification><creation>2025-02-19T02:34:20.126Z</creation></dates><accession>S-EPMC10936583</accession><cross_references><pubmed>38487696</pubmed><doi>10.1021/acsestwater.3c00032</doi></cross_references></HashMap>