Possible interference between seasonal epidemics of influenza and other respiratory viruses in Hong Kong, 2014-2017.

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Possible interference between seasonal epidemics of influenza and other respiratory viruses in Hong Kong, 2014-2017.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

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2017年學術文章

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name

Possible interference between ...... ruses in Hong Kong, 2014-2017.

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Possible interference between ...... ruses in Hong Kong, 2014-2017.

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type

Item

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Possible interference between ...... ruses in Hong Kong, 2014-2017.

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Possible interference between ...... ruses in Hong Kong, 2014-2017.

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prefLabel

Possible interference between ...... ruses in Hong Kong, 2014-2017.

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Possible interference between ...... ruses in Hong Kong, 2014-2017.

@nl

P1476

Possible interference between ...... ruses in Hong Kong, 2014-2017.

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P2093

Juanjuan Zhang

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Xi-Ling Wang

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Xueying Zheng

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Yapeng Li

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Zhengyu Song

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P2860

Human rhinoviruses and enteroviruses in influenza-like illness in Latin America

Global epidemiology of non-influenza RNA respiratory viruses: data gaps and a growing need for surveillance.

Relationships between A(H1N1)pdm09 influenza infection and infections with other respiratory viruses.

Spatiotemporal characteristics of pandemic influenza.

Early occurrence of influenza A epidemics coincided with changes in occurrence of other respiratory virus infections

Rhinoviruses delayed the circulation of the pandemic influenza A (H1N1) 2009 virus in France.

The impact of pandemic influenza A (H1N1) 2009 on the circulation of respiratory viruses 2009-2011.

Geographic divisions and modeling of virological data on seasonal influenza in the Chinese mainland during the 2006-2009 monitoring years

The frequency and seasonality of influenza and other respiratory viruses in Tennessee: two influenza seasons of surveillance data, 2010-2012.

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

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s12879-017-2888-5

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scholarly article

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10.1186/S12879-017-2888-5

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2017-12-16T00:00:00Z

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1099684063

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