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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| 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 |