Real-time pandemic surveillance using hospital admissions and mobility data

Forecasting the burden of COVID-19 has been impeded by limitations in data, with case reporting biased by testing practices, death counts lagging far behind infections, and hospital census reflecting time-varying patient access, admission criteria, and demographics. Here, we show that hospital admis...

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Detalles Bibliográficos
Autores principales: Fox, Spencer J., Lachmann, Michael, Tec, Mauricio, Pasco, Remy, Woody, Spencer, Du, Zhanwei, Wang, Xutong, Ingle, Tanvi A., Javan, Emily, Dahan, Maytal, Gaither, Kelly, Escott, Mark E., Adler, Stephen I., Johnston, S. Claiborne, Scott, James G., Meyers, Lauren Ancel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851544/
https://www.ncbi.nlm.nih.gov/pubmed/35105729
http://dx.doi.org/10.1073/pnas.2111870119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851544/
https://www.ncbi.nlm.nih.gov/pubmed/35105729
http://dx.doi.org/10.1073/pnas.2111870119

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