Evidence map›Paper›PMID 41013370›Full record

ArticleBMC infectious diseases2025

Epidemiological characteristics and spatio-temporal analysis of influenza in Sichuan Province from 2015 to 2024.

Zhirui Li, Lijun Zhou, Peihan Wang, Heng Yuan, Qian Zhang, Zixuan Fan, Chongkun Xiao

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Zhirui Li *Department of Disease Control and Prevention, Sichuan provincial Center for Disease Control and Prevention, No.6, ZHONGXUE Road, Wuhou District, Chengdu, Sichuan Chengdu, 610000, P. R. China.
Lijun Zhou *Department of Disease Control and Prevention, Sichuan provincial Center for Disease Control and Prevention, No.6, ZHONGXUE Road, Wuhou District, Chengdu, Sichuan Chengdu, 610000, P. R. China.
Peihan WangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Heng YuanDepartment of Disease Control and Prevention, Sichuan provincial Center for Disease Control and Prevention, No.6, ZHONGXUE Road, Wuhou District, Chengdu, Sichuan Chengdu, 610000, P. R. China.
Qian ZhangDepartment of Oncology, Xiamen Fifth Hospital, Min'an Road, Maxiang Street, Xiang 'an District, Fujian Xiamen, 361000, P. R. China.
Zixuan FanKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. fanzixuan@igsnrr.ac.cn.
Chongkun XiaoDepartment of Disease Control and Prevention, Sichuan provincial Center for Disease Control and Prevention, No.6, ZHONGXUE Road, Wuhou District, Chengdu, Sichuan Chengdu, 610000, P. R. China. fangy27001@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilising influenza monitoring data from Sichuan Province, descriptive research and geographic information systems (GIS) were employed to examine the epidemiological features and spatiotemporal patterns of influenza in the province from 2015 to 2024. From 2015 to 2024, Sichuan Province reported a total of 2,105,900 influenza cases, exhibiting a general rising trend in incidence, notably marked by high rises in 2019 and 2023. Global geographic autocorrelation study indicated substantial positive spatial autocorrelation in influenza incidence from 2019 to 2024 (Moran's I > 0, P < 0.05). Local spatial autocorrelation study identified clustering patterns throughout Sichuan Province, with high-high clustering mostly in the centre region and low-low clustering mainly in the western and eastern parts. Hotspot study indicated a progressive rise in the quantity of influenza hotspots, predominantly located in the central region, namely within urban areas of the plains. Analysis of the standard deviational ellipse of the movement trajectory of influenza outbreak centres indicated a shift in influenza transmission within the province from central urban areas to the southern regions, accompanied by a gradual dissemination. Our findings demonstrate that influenza prevention and control continues to be a significant public health concern in Sichuan Province. Region-specific influenza prevention and control strategies must be formulated, emphasising enhanced surveillance of low-incidence influenza clusters and preferential resource allocation to areas with elevated influenza incidence, to effectively address potential future influenza pandemics and mitigate the influenza burden.

Indexed as

Influenza, HumanAdolescentAdultAgedChildChild, PreschoolChinaCluster AnalysisDisease OutbreaksFemaleGeographic Information SystemsHumansIncidenceInfantMaleMiddle AgedGeographic information systems (GIS)InfluenzaSpatial-tempor alanalysis

Identifiers

PMID41013370
PMCPMC12465695

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.