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

Abstract 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,...

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Detalhes bibliográficos

Principais autores:	Chengcheng Gao, Rui Zhang, Xicheng Chen, Tianhua Yao, Qiuyue Song, Wei Ye, PengPeng Li, Zhenyan Wang, Dong Yi, Yazhou Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2022-10-01
coleção:	npj Digital Medicine
Acesso em linha:	https://doi.org/10.1038/s41746-022-00704-8
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