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...

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Detalles Bibliográficos
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:
Article
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

Internet

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

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