Integrating Internet multisource big data to predict the occurrence and development of COVID-19 cryptic transmission

With the recent prevalence of COVID-19, cryptic transmission is worthy of attention and research. Early perception of the occurrence and development risk of cryptic transmission is an important part of controlling the spread of COVID-19. Previous relevant studies have limited data sources, and no ef...

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Detalles Bibliográficos
Autores principales: Gao, Chengcheng, Zhang, Rui, Chen, Xicheng, Yao, Tianhua, Song, Qiuyue, Ye, Wei, Li, PengPeng, Wang, Zhenyan, Yi, Dong, Wu, Yazhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614204/
https://www.ncbi.nlm.nih.gov/pubmed/36307547
http://dx.doi.org/10.1038/s41746-022-00704-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614204/
https://www.ncbi.nlm.nih.gov/pubmed/36307547
http://dx.doi.org/10.1038/s41746-022-00704-8

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