Evidence map›Paper›PMID 36146868›Full record

ArticleViruses2022

Transmission Patterns of Seasonal Influenza in China between 2010 and 2018.

Hao Lei, Lei Yang, Gang Wang, Chi Zhang, Yuting Xin, Qianru Sun, Bing Zhang, Tao Chen, Jing Yang, Weijuan Huang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

25 citing papers in PubMed, 36 citations in OpenAlex.

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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

19 authors at 2 institutions in 1 country.

Hao LeiSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.ORCID 0000-0002-1850-7040
Lei YangKey Laboratory for Medical Virology, National Health Commission, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Gang WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Chi ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Yuting XinSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Qianru SunSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Bing ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Tao ChenKey Laboratory for Medical Virology, National Health Commission, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Jing YangKey Laboratory for Medical Virology, National Health Commission, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Weijuan HuangKey Laboratory for Medical Virology, National Health Commission, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Modi XuSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Yu XieSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Yinghan WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Pei XuSchool of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Litao SunSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.ORCID 0000-0002-8415-989X
Deyin GuoSchool of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Xiangjun DuSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.ORCID 0000-0001-8184-8430
Dayan WangKey Laboratory for Medical Virology, National Health Commission, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Yuelong ShuSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Sun Yat-sen University · CNNational Institute for Viral Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Understanding the transmission source, pattern, and mechanism of infectious diseases is essential for targeted prevention and control. Though it has been studied for many years, the detailed transmission patterns and drivers for the seasonal influenza epidemics in China remain elusive. Methods In this study, utilizing a suite of epidemiological and genetic approaches, we analyzed the updated province-level weekly influenza surveillance, sequence, climate, and demographic data between 1 April 2010 and 31 March 2018 from continental China, to characterize detailed transmission patterns and explore the potential initiating region and drivers of the seasonal influenza epidemics in China. Results An annual cycle for influenza A(H1N1)pdm09 and B and a semi-annual cycle for influenza A(H3N2) were confirmed. Overall, the seasonal influenza A(H3N2) virus caused more infection in China and dominated the summer season in the south. The summer season epidemics in southern China were likely initiated in the "Lingnan" region, which includes the three most southern provinces of Hainan, Guangxi, and Guangdong. Additionally, the regions in the south play more important seeding roles in maintaining the circulation of seasonal influenza in China. Though intense human mobility plays a role in the province-level transmission of influenza epidemics on a temporal scale, climate factors drive the spread of influenza epidemics on both the spatial and temporal scales. Conclusion The surveillance of seasonal influenza in the south, especially the "Lingnan" region in the summer, should be strengthened. More broadly, both the socioeconomic and climate factors contribute to the transmission of seasonal influenza in China. The patterns and mechanisms revealed in this study shed light on the precise forecasting, prevention, and control of seasonal influenza in China and worldwide.

Indexed as

Influenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanChinaHumansInfluenza A Virus, H3N2 SubtypeSeasonsChinadriverinitiating areaseasonal influenzatransmission

Identifiers

PMID36146868
PMCPMC9501233
OpenAlexW4296757338

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.