Evidence map›Paper›PMID 30869001›Full record

ArticleEpidemiology and infection2019

Association of meteorological factors with seasonal activity of influenza A subtypes and B lineages in subtropical western China.

M Pan, H P Yang, J Jian, Y Kuang, J N Xu, T S Li, X Zhou, W L Wu, Z Zhao, C Wang and 4 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  12. Short-term impact of ambient temperature on the incidence of influenza in Wuhan, China.Environmental science and pollution research international · 2022
    Article
  13. Article
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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

14 authors.

M PanSichuan Center for Disease Control and Prevention,Chengdu 610041,China.
H P YangSichuan Center for Disease Control and Prevention,Chengdu 610041,China.
J JianGuiyang Center for Disease Control and Prevention,Guiyang 550003,China.
Y KuangWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University,Chengdu 610041,China.
J N XuSichuan Center for Disease Control and Prevention,Chengdu 610041,China.
T S LiSichuan Center for Disease Control and Prevention,Chengdu 610041,China.
X ZhouPanzhihua Center for Disease Control and Prevention,Panzhihua 617000,China.
W L WuPanzhihua Center for Disease Control and Prevention,Panzhihua 617000,China.
Z ZhaoWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University,Chengdu 610041,China.
C WangDepartment of Medical Technology,West China School of Public Health, Sichuan University,Chengdu 610041,China.
W Y LiWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University,Chengdu 610041,China.
M Y LiWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University,Chengdu 610041,China.
S S HeSichuan Center for Disease Control and Prevention,Chengdu 610041,China.
L L ZhouWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University,Chengdu 610041,China.ORCID 0000-0003-0488-3413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The seasonality of individual influenza subtypes/lineages and the association of influenza epidemics with meteorological factors in the tropics/subtropics have not been well understood. The impact of the 2009 H1N1 pandemic on the prevalence of seasonal influenza virus remains to be explored. Using wavelet analysis, the periodicities of A/H3N2, seasonal A/H1N1, A/H1N1pdm09, Victoria and Yamagata were identified, respectively, in Panzhihua during 2006-2015. As a subtropical city in southwestern China, Panzhihua is the first industrial city in the upper reaches of the Yangtze River. The relationship between influenza epidemics and local climatic variables was examined based on regression models. The temporal distribution of influenza subtypes/lineages during the pre-pandemic (2006-2009), pandemic (2009) and post-pandemic (2010-2015) years was described and compared. A total of 6892 respiratory specimens were collected and 737 influenza viruses were isolated. A/H3N2 showed an annual cycle with a peak in summer-autumn, while A/H1N1pdm09, Victoria and Yamagata exhibited an annual cycle with a peak in winter-spring. Regression analyses demonstrated that relative humidity was positively associated with A/H3N2 activity while negatively associated with Victoria activity. Higher prevalence of A/H1N1pdm09 and Yamagata was driven by lower absolute humidity. The role of weather conditions in regulating influenza epidemics could be complicated since the diverse viral transmission modes and mechanism. Differences in seasonality and different associations with meteorological factors by influenza subtypes/lineages should be considered in epidemiological studies in the tropics/subtropics. The development of subtype- and lineage-specific prevention and control measures is of significant importance.

Indexed as

PandemicsChinaClimateHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanSeasonsHumidityinfluenza A subtypesinfluenza B lineagesmeteorological factorspandemicseasonalitysubtropical western China

Identifiers

PMID30869001
PMCPMC6518542

What OpenQuestion holds

Textmetadata
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.