Cargando…
An exploration of challenges associated with machine learning for time series forecasting of COVID-19 community spread using wastewater-based epidemiological data
Wastewater-based epidemiology (WBE) has gained increasing attention as a complementary tool to conventional surveillance methods with potential for significant resource and labour savings when used for public health monitoring. Using WBE datasets to train machine learning algorithms and develop pred...
Autores principales: | Vaughan, Liam, Zhang, Muyang, Gu, Haoran, Rose, Joan B., Naughton, Colleen C., Medema, Gertjan, Allan, Vajra, Roiko, Anne, Blackall, Linda, Zamyadi, Arash |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597519/ https://www.ncbi.nlm.nih.gov/pubmed/36306840 http://dx.doi.org/10.1016/j.scitotenv.2022.159748 |
Ejemplares similares
-
Show us the data: global COVID-19 wastewater monitoring efforts, equity, and gaps
por: Naughton, Colleen C, et al.
Publicado: (2023) -
A review of microscopic cell imaging and neural network recognition for synergistic cyanobacteria identification and enumeration
por: Vaughan, Liam, et al.
Publicado: (2022) -
Degradation of progestagens by oxidation with potassium permanganate in wastewater effluents
por: Fayad, Paul B, et al.
Publicado: (2013) -
An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology
por: Lai, Mallory, et al.
Publicado: (2023) -
Roadmap for Managing SARS-CoV-2 and Other Viruses in the Water Environment for Public Health
por: Liu, Gang, et al.
Publicado: (2022)