Evidence map›Paper›PMID 38035295›Full record

ArticleFrontiers in public health2023

Multiple change point analysis of hepatitis B reports in Xinjiang, China from 2006 to 2021.

Liping Yang, Na Xie, Yanru Yao, Chunxia Wang, Ramziya RiFhat, Maozai Tian, Kai Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Liping Yang *College of Public Health, Xinjiang Medical University, Ürümqi, China.
Na Xie *Department of Immunization Programme, Xinjiang Center for Disease Control and Prevention, Ürümqi, China.
Yanru YaoCollege of Science, Shihezi University, Shihezi, China.
Chunxia WangCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China.
Ramziya RiFhatCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China.
Maozai TianCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China.
Kai WangCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hepatitis B (HB) is a major global challenge, but there has been a lack of epidemiological studies on HB incidence in Xinjiang from a change-point perspective. This study aims to bridge this gap by identifying significant change points and trends. Method: The datasets were obtained from the Xinjiang Information System for Disease Control and Prevention. Change points were identified using binary segmentation for full datasets and a segmented regression model for five age groups. Results: The results showed four change points for the quarterly HB time series, with the period between the first change point (March 2007) and the second change point (March 2010) having the highest mean number of HB reports. In the subsequent segments, there was a clear downward trend in reported cases. The segmented regression model showed different numbers of change points for each age group, with the 30-50, 51-80, and 15-29 age groups having higher growth rates. Conclusion: Change point analysis has valuable applications in epidemiology. These findings provide important information for future epidemiological studies and early warning systems for HB.

Indexed as

Hepatitis BChinaForecastingHumansIncidenceTime Factorsbinary segmentationchange point analysishepatitis Bsegmented regressiontime series

Identifiers

PMID38035295
PMCPMC10682783

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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.