Evidence map›Paper›PMID 36923590›Full record

ArticleFrontiers in cellular and infection microbiology2023

Spatiotemporal heterogeneity and impact factors of hepatitis B and C in China from 2010 to 2018: Bayesian space-time hierarchy model.

Jiaojiao Qian, Ming Yue, Peng Huang, Lele Ai, Changqiang Zhu, Chongcai Wang, Yizhe Luo, Na Yue, Yifan Wu, Yun Zhang and 2 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. [Analysis of epidemiological characteristics and spatial clustering of hepatitis C virus in China from 2018 to 2022].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 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

12 authors at 4 institutions in 1 country.

Jiaojiao QianDepartment of Epidemiology, School of Public Health, Nanjing Medical University., Nanjing, China.
Ming YueDepartment of Infectious Diseases, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Peng HuangDepartment of Epidemiology, School of Public Health, Nanjing Medical University., Nanjing, China.
Lele AiDepartment of infectious diseases prevention, Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
Changqiang ZhuDepartment of infectious diseases prevention, Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
Chongcai WangDepartment of infectious diseases prevention, Hainan International Travel Healthcare Center, Haikou, China.
Yizhe LuoDepartment of Epidemiology, School of Public Health, Nanjing Medical University., Nanjing, China.
Na YueDepartment of infectious diseases prevention, Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
Yifan WuDepartment of infectious diseases prevention, Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
Yun ZhangDepartment of infectious diseases prevention, Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
Chunhui WangDepartment of Epidemiology, School of Public Health, Nanjing Medical University., Nanjing, China.
Weilong TanDepartment of Epidemiology, School of Public Health, Nanjing Medical University., Nanjing, China.
Nanjing Municipal Center for Disease Control And Prevention · CNShenzhen International Travel Health Care Center · CNJiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Viral hepatitis is a global public health problem, and China still faces great challenges to achieve the WHO goal of eliminating hepatitis. Methods: This study focused on hepatitis B and C, aiming to explore the long-term spatiotemporal heterogeneity of hepatitis B and C incidence in China from 2010 to 2018 and quantify the impact of socioeconomic factors on their risk through Bayesian spatiotemporal hierarchical model. Results: The results showed that the risk of hepatitis B and C had significant spatial and temporal heterogeneity. The risk of hepatitis B showed a slow downward trend, and the high-risk provinces were mainly distributed in the southeast and northwest regions, while the risk of hepatitis C had a clear growth trend, and the high-risk provinces were mainly distributed in the northern region. In addition, for hepatitis B, illiteracy and hepatitis C prevalence were the main contributing factors, while GDP per capita, illiteracy rate and hepatitis B prevalence were the main contributing factors to hepatitis C. Disussion: This study analyzed the spatial and temporal heterogeneity of hepatitis B and C and their contributing factors, which can serve as a basis for monitoring efforts. Meanwhile, the data provided by this study will contribute to the effective allocation of resources to eliminate viral hepatitis and the design of interventions at the provincial level.

Indexed as

Hepatitis BHepatitis CBayes TheoremChinaHepacivirusHumansIncidenceBayesian modelGDPtahepatitis Bhepatitis Cilliteracy ratespatiotemporal heterogeneity

Identifiers

PMID36923590
PMCPMC10008934
OpenAlexW4322504166

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read38
table measurements read10
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.