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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...
Autores principales: | Rosenkrantz, Daniel J., Vullikanti, Anil, Ravi, S. S., Stearns, Richard E., Levin, Simon, Poor, H. Vincent, Marathe, Madhav V. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
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 |
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