Optimizing COVID-19 surveillance using historical electronic health records of influenza infections

Targeting surveillance resources toward individuals at high risk of early infection can accelerate the detection of emerging outbreaks. However, it is unclear which individuals are at high risk without detailed data on interpersonal and physical contacts. We propose a data-driven COVID-19 surveillan...

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Detalles Bibliográficos
Autores principales: Du, Zhanwei, Bai, Yuan, Wang, Lin, Herrera-Diestra, Jose L, Yuan, Zhilu, Guo, Renzhong, Cowling, Benjamin J, Meyers, Lauren A, Holme, Petter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Biological, Health, and Medical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170911/
https://www.ncbi.nlm.nih.gov/pubmed/35693630
http://dx.doi.org/10.1093/pnasnexus/pgac038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170911/
https://www.ncbi.nlm.nih.gov/pubmed/35693630
http://dx.doi.org/10.1093/pnasnexus/pgac038

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