Evidence map›Paper›PMID 39129008›Full record

ArticleBMC infectious diseases2024

The spatial-temporal distribution of hepatitis B virus infection in China,2006-2018.

Liping Jiao, Tuo Shen, Yingzi Han, Wen Liu, Wei Liu, Lin Dang, Mingmin Wei, Yunyun Yang, Jingjing Guo, Meirong Miao and 1 more

Erratum issuedAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Liping JiaoLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Tuo ShenLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China. st2005shengke@163.com.
Yingzi HanLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Wen LiuDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
Wei LiuLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Lin DangLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Mingmin WeiLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Yunyun YangLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Jingjing GuoLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Meirong MiaoLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.
Xiangming XuLaboratory Department, Weinan Center for Disease Control and Prevention, Weinan, Shaanxi, China.

Funding

Central public health-related project subsidy funds-Major public health projects 2100409
6 · The paper itself

Abstract

objectivesHepatitis B is a liver disease caused by Hepatitis B virus (HBV) infection and is highly prevalent in China. To better understand the epidemiological characteristics of hepatitis B in China and develop effective disease control strategies, we employed temporal and spatial statistical methods.

methodsWe obtained HBV incidence data from the Public Health Science Data Center of the Chinese Center for Disease Control and Prevention for the years 2006 to 2018. Using Geographic Information System (GIS) and SaTScan scanning technology, we conducted spatial autocorrelation analysis and spatiotemporal scan analysis to create a map and visualize the distribution of hepatitis B incidence.

resultsWhile hepatitis B incidence rebounded in 2011 and 2017, the overall incidence in China decreased.In the trend analysis by item, the incidence varies from high to low. The global spatial autocorrelation analysis revealed a clustered distribution, and the Moran index analysis of spatial autocorrelation within local regions identified five provinces as H-H clusters (hot spots), while one province was an L-L cluster (cold spot). Spatial scan analysis identified 11 significant spatial clusters.

conclusionsWe found significant clustering in the spatial distribution of hepatitis B incidence and positive spatial correlation of hepatitis B incidence in China. We also identified high-risk times and regional clusters of hepatitis B incidence.

Indexed as

Hepatitis BSpatio-Temporal AnalysisChinaCluster AnalysisGeographic Information SystemsHepatitis B virusHumansIncidenceClusterGeographic information systemHepatitis B infectionMoran’s ISpatial epidemiologyTime-spatial distribution

Identifiers

PMID39129008
PMCPMC11318140

What OpenQuestion 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 OpenQuestion graph.