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  • [\'Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA 22904.\', \'Department of Computer Science, University at Albany-State University of New York, Albany, NY 12222.\', \'Department of Computer Science, University of Virginia, Charlottesville, VA 22904.\', \'Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.\', \'Princeton Environmental Institute, Princeton University, Princeton, NJ 08544.\', \'Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544 poor@princeton.edu marathe@virginia.edu.\', \'Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA 22904; poor@princeton.edu marathe@virginia.edu.\']
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  • -1
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  • e210922811910.1073/pnas.2109228119
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  • Proceedings of the National Academy of Sciences of the United States of America
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  • 35046025
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?:title
  • Fundamental limitations on efficiently forecasting certain epidemic measures in network models.
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?:year
  • 2022

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