Author

Dave Osthus

Los Alamos National LaboratoryORCID 0000-0002-4681-091XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1

Frequent Co-Authors

Graham GibsoniD· 1 shared Kelly R. MoraniD· 1 shared Nicholas G ReichiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Graham GibsonORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedJan 31, 2022

Fast and Accurate Influenza Forecasting in the United States with Inferno

Dave Osthus

This paper introduces Inferno, a fast and accurate flu forecasting model that outperforms existing models in speed while maintaining high performance in FluSight 2018/19.

14 citations

electronic health recordsstatistical model

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedJan 6, 2021

Improving Probabilistic Infectious Disease Forecasting Through Coherence

Graham Gibson, Kelly R. Moran, Nicholas G Reich, Dave Osthus

The paper improves influenza forecasting by enforcing geographical constraints on forecasts, leading to better accuracy across 90% of tested models.

9 citations

statistical modelbenchmarking

𝕏 PostBluesky