Evidence map›Paper›PMID 42277148›Full record

ArticleScientific reports2026

Spatio-temporal clustering characteristics of hepatitis B in China: an 18-year study.

Mengge Zhang, Chuancang Li, Juan Xu, Qian Cai, Huanyu Song, Liang Sun

Abstract read
In one paragraph

Article in Scientific reports, 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

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

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.

Mengge ZhangJinan Center for Disease Control and Prevention, Jinan, Shandong, China.
Chuancang LiDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Juan XuWenjiang District People's Hospital of Chengdu Wenjiang Hospital of Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Qian CaiDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Huanyu SongDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Liang SunDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China. zzusunl@163.com.

Funding

the colleges and universities of Henan Center for Disease Control and Prevention HN2020GXAF410124the training program for young backbone teachers in colleges and universities in Henan Province 2019GGJS021
6 · The paper itself

Abstract

To describe the spatiotemporal characteristics of hepatitis B in China and to identify its possible hotspots and potential high-risk areas. A retrospective, province-level ecological analysis of hepatitis B surveillance data. Global Moran's I and local Moran's I were calculated using GeoDa 1.16 to explore the spatial clustering characteristics from 2004 to 2021, and the results of the spatiotemporal scan analysis were obtained using SaTScan 10.1 to identify cluster areas from 2004 to 2018. From 2004 to 2021, the number of hepatitis B incident cases in China increased from 916,426 in 2004 to 976,233 in 2021 (AAPC = 0.38%, P = 0.613), which is not statistically significant. From 2018 to 2021, High-High cluster areas of hepatitis B incidence rates in China were concentrated in the southeast; from 2004 to 2019, High-Low cluster areas of hepatitis B mortality rates were concentrated in Beijing and Shanghai. During the 18-year study period, the crude mortality rate showed a statistically significant decline with an average annual decline of 4.03%. Hepatitis B high-risk areas were concentrated in northwestern and southeastern coastal regions of China, while death counts were clustered in the northwestern and eastern regions.

Indexed as

Hepatitis BChinaCluster AnalysisHepatitis B virusHumansIncidenceRetrospective StudiesSpatio-Temporal AnalysisHepatitis BSpace–time scan statisticsSpatial epidemiology

Identifiers

PMID42277148
PMCPMC13315878

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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 OpenQuestion graph.