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Pan-Enterovirus Characterization Reveals Cryptic Circulation of Clinically Relevant Subtypes in Arizona Wastewater.

Daryn E EricksonKyle M SimmonsZachary A BarrandChase L RidenourPaige B HawkinsonLacey LemkeShayne P SellnerBreezy N BrockAlexis N RivasKrystal SheridanDarrin LemmerHayley D YaglomW Tanner PorterMonique BelangerRachel M TorreyAidan James R StillsKiley McCormackMatt BlackWydale HolmesDrew RostainJeremy MikusKimberly SoteloEmmen HaqReshma NeupaneJoli WeissJasmine JohnsonClancey CollinsSarah AvalleChelsi WhiteBrandon J HowardSara A MaltinskyRyann N WhealyNathaniel B GordonJason W SahlTalima R PearsonViacheslav Y FofanovTara N FurstenauElizabeth M DriebeJ Gregory CaporasoJarrett BarberJoel TerriquezDavid M EngelthalerCrystal M Hepp
Published in: medRxiv : the preprint server for health sciences (2024)
This study further supports the utility of wastewater-based epidemiology to identify potential public health threats. Our further investigations into EV-D68 shows how these data might help inform healthcare diagnoses for children presenting with concerning neurological symptoms.
Keyphrases
  • public health
  • healthcare
  • wastewater treatment
  • risk factors
  • big data
  • case report
  • depressive symptoms
  • machine learning
  • risk assessment
  • climate change
  • global health