Evidence map›Paper›PMID 41768379›Full record

ArticleInfection and drug resistance2026

Epidemiological Characteristics and Spatiotemporal Clustering of Varicella in the Border City of Baise, Southwest China, 2010-2024.

Hongyan Tian, Danjie Liang, Zhi Nong, Siyi Huang, Yang Li, Guangzi Qi

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hongyan Tian *School of Public Health, Youjiang Medical University for Nationalities, Baise, Guangxi, People's Republic of China.
Danjie Liang *School of Public Health, Youjiang Medical University for Nationalities, Baise, Guangxi, People's Republic of China.ORCID 0009-0009-4989-3085
Zhi NongDepartment of Disease Control, Baise Centre for Disease Control and Prevention, Baise, Guangxi, People's Republic of China.
Siyi HuangDepartment of Disease Control, Baise Centre for Disease Control and Prevention, Baise, Guangxi, People's Republic of China.
Yang LiSchool of Public Health, Youjiang Medical University for Nationalities, Baise, Guangxi, People's Republic of China.
Guangzi QiSchool of Public Health, Youjiang Medical University for Nationalities, Baise, Guangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We analyzed the epidemiological trends and spatio-temporal distribution characteristics of varicella incidence in Baise City from 2010 to 2024 to provide a basis for its prevention and control. Methods: This study describes the epidemiological characteristics of varicella from population, temporal and spatial perspectives by using data from the National Infectious Disease Reporting System. Trend and spatial autocorrelation analyses and spatiotemporal scanning statistics were employed to determine the spatial clustering and spatiotemporal dynamics for the incidence of varicella. Results: About 54,969 cases of varicella were reported during the study period, with an annual incidence rate of 102.30 per 100,000, and an annual percentage change of 10.05% (95% CI: 1.10% to 19.79%; Conclusion: The reported incidence rate of varicella in Baise was on the rise, exhibiting distinct spatio-temporal clustering characteristics. Hotspots were aligned with the spatio-temporal clustering zones. Strengthening prevention and control measures in local areas where clusters and hotspots of varicella occur can be an effective strategy to decrease its incidence in a city.

Indexed as

epidemic trendsepidemiological characteristicsspatial autocorrelationspatiotemporal clusteringvaricella

Identifiers

PMID41768379
PMCPMC12949543

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.