Ontology highlight
ABSTRACT:
SUBMITTER: Dai X
PROVIDER: S-EPMC11239317 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Dai Xiaotian X Acosta Nicole N Lu Xuewen X Hubert Casey R J CRJ Lee Jangwoo J Frankowski Kevin K Bautista Maria A MA Waddell Barbara J BJ Du Kristine K McCalder Janine J Meddings Jon J Ruecker Norma N Williamson Tyler T Southern Danielle A DA Hollman Jordan J Achari Gopal G Ryan M Cathryn MC Hrudey Steve E SE Lee Bonita E BE Pang Xiaoli X Clark Rhonda G RG Parkins Michael D MD Chekouo Thierry T
Statistics in medicine 20240114 6
Wastewater-based surveillance has become an important tool for research groups and public health agencies investigating and monitoring the COVID-19 pandemic and other public health emergencies including other pathogens and drug abuse. While there is an emerging body of evidence exploring the possibility of predicting COVID-19 infections from wastewater signals, there remain significant challenges for statistical modeling. Longitudinal observations of viral copies in municipal wastewater can be i ...[more]