A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan

The COVID-19 pandemic has highlighted the global need for reliable models of disease spread. We propose an AI-augmented forecast modeling framework that provides daily predictions of the expected number of confirmed COVID-19 deaths, cases, and hospitalizations during the following 4 weeks. We presen...

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Detalles Bibliográficos
Autores principales: Arık, Sercan Ö., Shor, Joel, Sinha, Rajarishi, Yoon, Jinsung, Ledsam, Joseph R., Le, Long T., Dusenberry, Michael W., Yoder, Nathanael C., Popendorf, Kris, Epshteyn, Arkady, Euphrosine, Johan, Kanal, Elli, Jones, Isaac, Li, Chun-Liang, Luan, Beth, Mckenna, Joe, Menon, Vikas, Singh, Shashank, Sun, Mimi, Ravi, Ashwin Sura, Zhang, Leyou, Sava, Dario, Cunningham, Kane, Kayama, Hiroki, Tsai, Thomas, Yoneoka, Daisuke, Nomura, Shuhei, Miyata, Hiroaki, Pfister, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501040/
https://www.ncbi.nlm.nih.gov/pubmed/34625656
http://dx.doi.org/10.1038/s41746-021-00511-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501040/
https://www.ncbi.nlm.nih.gov/pubmed/34625656
http://dx.doi.org/10.1038/s41746-021-00511-7

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