Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark.

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Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

@en

Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Analysis of multi-level spatia ...... s Norway, Sweden, and Denmark.

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Birgitte Freiesleben de Blasio

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Sinead E Morris

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P2860

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The community impact of the 2009 influenza pandemic in the WHO European region: a comparison with historical seasonal data from 28 countries.

Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US.

Pandemic vaccination strategies and influenza severe outcomes during the influenza A(H1N1)pdm09 pandemic and the post-pandemic influenza season: the Nordic experience.

Contrasting the epidemiological and evolutionary dynamics of influenza spatial transmission

Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: spatio-temporal modeling of surveillance data.

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e0197519

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scholarly article

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10.1371/JOURNAL.PONE.0197519

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English

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2018-05-17T00:00:00Z

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29771952

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An t-Suain

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5957349

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