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Detecting Signals of Seasonal Influenza Severity through Age Dynamics

View ORCID ProfileElizabeth C. Lee, View ORCID ProfileCécile Viboud, View ORCID ProfileLone Simonsen, View ORCID ProfileFarid Khan, View ORCID ProfileShweta Bansal
doi: https://doi.org/10.1101/016105
Elizabeth C. Lee
1Department of Biology, Georgetown University, Washington, District of Columbia, United States of America
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Cécile Viboud
2Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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Lone Simonsen
3Department of Global Health, George Washington University, Washington, District of Columbia, United States of America
2Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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Farid Khan
4IMS Health, Plymouth Meeting, Pennsylvania, United States of America
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Shweta Bansal
1Department of Biology, Georgetown University, Washington, District of Columbia, United States of America
2Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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Posted March 06, 2015.
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Detecting Signals of Seasonal Influenza Severity through Age Dynamics
Elizabeth C. Lee, Cécile Viboud, Lone Simonsen, Farid Khan, Shweta Bansal
bioRxiv 016105; doi: https://doi.org/10.1101/016105
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Detecting Signals of Seasonal Influenza Severity through Age Dynamics
Elizabeth C. Lee, Cécile Viboud, Lone Simonsen, Farid Khan, Shweta Bansal
bioRxiv 016105; doi: https://doi.org/10.1101/016105

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