Fast and accurate influenza forecasting in the United States with Inferno

Dave Osthus

doi:10.1371/journal.pcbi.1008651

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Open Access

Peer-reviewed

Research Article

Fast and accurate influenza forecasting in the United States with Inferno

Dave Osthus

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

* E-mail: dosthus@lanl.gov

Affiliation Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America

https://orcid.org/0000-0002-4681-091X

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Fast and accurate influenza forecasting in the United States with Inferno

Dave Osthus

Published: January 31, 2022
https://doi.org/10.1371/journal.pcbi.1008651
See the preprint

About the Authors

Dave Osthus

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

* E-mail: dosthus@lanl.gov

Affiliation Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America

https://orcid.org/0000-0002-4681-091X

Competing Interests

The author has declared that no competing interests exist.

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Forecasting
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Influenza
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Geography
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Public and occupational health
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United States
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Covariance
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Infectious diseases
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Normal distribution
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