Fundamental limitations on efficiently forecasting certain epidemic measures in network models

The ongoing COVID-19 pandemic underscores the importance of developing reliable forecasts that would allow decision makers to devise appropriate response strategies. Despite much recent research on the topic, epidemic forecasting remains poorly understood. Researchers have attributed the difficulty...

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Detalles Bibliográficos
Autores principales: Rosenkrantz, Daniel J., Vullikanti, Anil, Ravi, S. S., Stearns, Richard E., Levin, Simon, Poor, H. Vincent, Marathe, Madhav V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794801/
https://www.ncbi.nlm.nih.gov/pubmed/35046025
http://dx.doi.org/10.1073/pnas.2109228119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794801/
https://www.ncbi.nlm.nih.gov/pubmed/35046025
http://dx.doi.org/10.1073/pnas.2109228119

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