Evidence map›Paper›PMID 38579276›Full record

ArticleJMIR public health and surveillance2024

Epidemiological Characteristics of Varicella in Anhui Province, China, 2012-2021: Surveillance Study.

Kun Xuan, Ning Zhang, Tao Li, Xingya Pang, Qingru Li, Tianming Zhao, Binbing Wang, Zhenqiu Zha, Jihai Tang

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

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  6. An explainable machine learning model predicts pediatric varicella encephalitis.Frontiers in cellular and infection microbiology · 2026
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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

9 authors at 2 institutions in 1 country.

Kun Xuan *Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0000-0002-8867-9577
Ning Zhang *Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0009-0007-0429-9985
Tao LiAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0009-0000-2442-7701
Xingya PangAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0009-0004-2020-135X
Qingru LiAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0000-0003-0827-9416
Tianming ZhaoSchool of Health Management, Anhui Medical University, Hefei, China.ORCID 0000-0002-3871-6173
Binbing WangAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0009-0001-8225-5132
Zhenqiu ZhaAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0000-0002-3678-1035
Jihai TangAnhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China.ORCID 0000-0002-9776-6699
Anhui Provincial Center for Disease Control and Prevention · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaricella is a mild, self-limited disease caused by varicella-zoster virus (VZV) infection. Recently, the disease burden of varicella has been gradually increasing in China; however, the epidemiological characteristics of varicella have not been reported for Anhui Province.

objectiveThe aim of this study was to analyze the epidemiology of varicella in Anhui from 2012 to 2021, which can provide a basis for the future study and formulation of varicella prevention and control policies in the province.

methodsSurveillance data were used to characterize the epidemiology of varicella in Anhui from 2012 to 2021 in terms of population, time, and space. Spatial autocorrelation of varicella was explored using the Moran index (Moran I). The Kulldorff space-time scan statistic was used to analyze the spatiotemporal aggregation of varicella.

resultsA total of 276,115 cases of varicella were reported from 2012 to 2021 in Anhui, with an average annual incidence of 44.8 per 100,000, and the highest incidence was 81.2 per 100,000 in 2019. The male-to-female ratio of cases was approximately 1.26, which has been gradually decreasing in recent years. The population aged 5-14 years comprised the high-incidence group, although the incidence in the population 30 years and older has gradually increased. Students accounted for the majority of cases, and the proportion of cases in both home-reared children (aged 0-7 years who are not sent to nurseries, daycare centers, or school) and kindergarten children (aged 3-6 years) has changed slightly in recent years. There were two peaks of varicella incidence annually, except for 2020, and the incidence was typically higher in the winter peak than in summer. The incidence of varicella in southern Anhui was higher than that in northern Anhui. The average annual incidence at the county level ranged from 6.61 to 152.14 per 100,000, and the varicella epidemics in 2018-2021 were relatively severe. The spatial and temporal distribution of varicella in Anhui was not random, with a positive spatial autocorrelation found at the county level (Moran I=0.412). There were 11 districts or counties with high-high clusters, mainly distributed in the south of Anhui, and 3 districts or counties with high-low or low-high clusters. Space-time scan analysis identified five possible clusters of areas, and the most likely cluster was distributed in the southeastern region of Anhui.

conclusionsThis study comprehensively describes the epidemiology and changing trend of varicella in Anhui from 2012 to 2021. In the future, preventive and control measures should be strengthened for the key populations and regions of varicella.

Indexed as

ChickenpoxChildChinaFemaleHerpesvirus 3, HumanHumansMaleSpatial AnalysisSpatio-Temporal Analysischicken poxChinacontagious diseaseepidemiologyincidencespatial autocorrelationvaricellavaricella zoster virus

Identifiers

PMID38579276
PMCPMC11031691
OpenAlexW4393996041

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.