Cargando…
Application of machine learning for multi-community COVID-19 outbreak predictions with wastewater surveillance
The potential of wastewater-based epidemiology (WBE) as a surveillance and early warning tool for the COVID-19 outbreak has been demonstrated. For areas with limited testing capacity, wastewater surveillance can provide information on the disease dynamic at a community level. A predictive model is a...
Autores principales: | Ai, Yuehan, He, Fan, Lancaster, Emma, Lee, Jiyoung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648834/ https://www.ncbi.nlm.nih.gov/pubmed/36355921 http://dx.doi.org/10.1371/journal.pone.0277154 |
Ejemplares similares
-
Socioeconomic status correlations with confirmed COVID-19 cases and SARS-CoV-2 wastewater concentrations in small-medium sized communities
por: Lancaster, Emma, et al.
Publicado: (2022) -
Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States
por: Ai, Yuehan, et al.
Publicado: (2021) -
Monkeypox outbreak: Wastewater and environmental surveillance perspective
por: Tiwari, Ananda, et al.
Publicado: (2023) -
Wastewater surveillance of SARS-CoV-2 in dormitories as a part of comprehensive university campus COVID-19 monitoring
por: Lu, Emily, et al.
Publicado: (2022) -
Community-Scale
Wastewater Surveillance of Candida auris during an Ongoing Outbreak in Southern
Nevada
por: Barber, Casey, et al.
Publicado: (2023)