Evidence map›Paper›PMID 37363215›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Global epidemiology of animal influenza infections with explicit virus subtypes until 2016: A spatio-temporal descriptive analysis.

Jiaqi Huang, Ke Li, Shuang Xiao, Jian Hu, Yun Yin, Jun Zhang, Shuhua Li, Wenge Wang, Jie Hong, Zheng Zhao and 10 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jiaqi HuangDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Ke LiDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Shuang XiaoDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Jian HuDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Yun YinDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Jun ZhangDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Shuhua LiJinshan District Center for Disease Control and Prevention, Shanghai, China.
Wenge WangDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Jie HongDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Zheng ZhaoDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Xi ChenDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Yuanhua LiuDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Jin ShiDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Fen HuDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Xianhui RanDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Yue GeDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Hao JiangDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Zichong LiuDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.
Michael P WardUniversity of Sydney School of Veterinary Science, Camden, NSW, Australia.
Zhijie ZhangDepartment of Epidemiology and Health statistics, School of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza virus, with a global distribution, diverse animal host range and multiple virus subtypes, has caused several pandemics. To better prepare for the emergence of new subtypes and the possible threat of the next pandemic, the global status of animal influenza must be defined and documented. We created a global database of animal influenza events by searching scientific databases and the primary literature on animal influenza-related events up to and including 2016. The temporal, spatial and host distribution of animal influenza and the diversity of influenza subtypes in different regions were analyzed. A total of 70,472 records and 4712 events of animal influenza throughout the world were identified. Events involving subtypes H5N2, H7N7 and H7N9 were relatively constant, with a slow upward trend during the past decade. Asia was the region with the most clusters of events. Poultry was the main host reported in Asia and Africa, and wild birds in Europe and North America. We found that wild birds carried a very rich array of virus subtypes, a warning for the possible generation of reassortment viruses with pandemic potential. Influenza virus subtype diversity - a risk for virus reassortment - was greatest in Asia, North America and Europe. Our database provides a comprehensive overview of the historical and current status of animal influenza events throughout the world. Influenza surveillance needs to be strengthened in some countries and regions to prevent the emergence of new subtypes. Importantly, improvement of the global influenza surveillance system and structures to enable sharing of surveillance data is very much needed to prepare for the next pandemic.

Indexed as

Animal influenzaDiversityInfluenza surveillanceSpatio-temporal distributionVirus subtypes

Identifiers

PMID37363215
PMCPMC10288062

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.