@article{9975581cdc6b44e0a42c9e09bfdf98cf,
title = "Pan-enterovirus amplicon-based high-throughput sequencing detects the complete capsid of a eva71 genotype c1 variant via wastewater-based epidemiology in Arizona",
abstract = "We describe the complete capsid of a genotype C1-like Enterovirus A71 variant recovered from wastewater in a neighborhood in the greater Tempe, Arizona area (Southwest United States) in May 2020 using a pan-enterovirus amplicon-based high-throughput sequencing strategy. The variant seems to have been circulating for over two years, but its sequence has not been documented in that period. As the SARS-CoV-2 pandemic has resulted in changes in health-seeking behavior and overwhelmed pathogen diagnostics, our findings highlight the importance of wastewater-based epidemiology (WBE ) as an early warning system for virus surveillance.",
keywords = "Arizona, Enterovirus A, Human, Molecular epidemiology, Poliomyelitis, Wastewater",
author = "Faleye, {Temitope O.C.} and Erin Driver and Devin Bowes and Sangeet Adhikari and Deborah Adams and Arvind Varsani and Halden, {Rolf U.} and Matthew Scotch",
note = "Funding Information: Funding: Research reported in this publication was supported by the National Library of Medicine of the USA National Institutes of Health under Award Number U01LM013129 (to A.V., R.U.H., and M.S.). Research reported in this publication was also supported by the Chemical, Bioengineering, Environmental and Transport Systems (CBET) Division of the National Science Foundation under Award Number 2028564. The content is solely the responsibility of the authors and does not necessarily represent the official views of the USA National Institutes of Health or the National Science Foundation. The authors would also like to acknowledge the J.M. Kaplan Fund, for support of the OneWaterOneHealth nonprofit project 30009070 of the Arizona State University Foundation. Publisher Copyright: {\textcopyright} 2021 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/).",
year = "2021",
month = jan,
doi = "10.3390/v13010074",
language = "English (US)",
volume = "13",
journal = "Viruses",
issn = "1999-4915",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",
}