Evidence map›Paper›PMID 39224908›Full record

ArticleInfectious Disease Modelling2024

Trends and multi-model prediction of hepatitis B incidence in Xiamen.

Ruixin Zhang, Hongfei Mi, Tingjuan He, Shuhao Ren, Renyan Zhang, Liansheng Xu, Mingzhai Wang, Chenghao Su

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Ruixin ZhangSchool of Public Health, Xiamen University, Xiamen City, Fujian Province, China.
Hongfei MiDepartment of Public Health, Zhongshan Hospital (Xiamen), Fudan University, Xiamen City, Fujian Province, China.
Tingjuan HeDepartment of Public Health, Zhongshan Hospital (Xiamen), Fudan University, Xiamen City, Fujian Province, China.
Shuhao RenSchool of Public Health, Xiamen University, Xiamen City, Fujian Province, China.
Renyan ZhangSchool of Public Health, Xiamen University, Xiamen City, Fujian Province, China.
Liansheng XuDepartment of Endemic Disease and Chronic Non-communicable Disease Prevention and Control, Xiamen Center for Disease Control and Prevention, Xiamen City, Fujian Province, China.
Mingzhai WangDepartment of Occupational Health and Poison Control, Xiamen Center for Disease Control and Prevention, Xiamen City, Fujian Province, China.
Chenghao SuDepartment of Public Health, Zhongshan Hospital (Xiamen), Fudan University, Xiamen City, Fujian Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to analyze the trend of Hepatitis B incidence in Xiamen City from 2004 to 2022, and to select the best-performing model for predicting the number of Hepatitis B cases from 2023 to 2027. Methods: Data were obtained from the China Information System for Disease Control and Prevention (CISDCP). The Joinpoint Regression Model analyzed temporal trends, while the Age-Period-Cohort (APC) model assessed the effects of age, period, and cohort on hepatitis B incidence rates. We also compared the predictive performance of the Neural Network Autoregressive (NNAR) Model, Bayesian Structural Time Series (BSTS) Model, Prophet, Exponential Smoothing (ETS) Model, Seasonal Autoregressive Integrated Moving Average (SARIMA) Model, and Hybrid Model, selecting the model with the highest performance to forecast the number of hepatitis B cases for the next five years. Results: Hepatitis B incidence rates in Xiamen from 2004 to 2022 showed an overall declining trend, with rates higher in men than in women. Higher incidence rates were observed in adults, particularly in the 30-39 age group. Moreover, the period and cohort effects on incidence showed a declining trend. Furthermore, in the best-performing NNAR(10, 1, 6)[12] model, the number of new cases is predicted to be 4271 in 2023, increasing to 5314 by 2027. Conclusions: Hepatitis B remains a significant issue in Xiamen, necessitating further optimization of hepatitis B prevention and control measures. Moreover, targeted interventions are essential for adults with higher incidence rates.

Indexed as

Age-period-cohort modelHepatitis BJoinpoint regression modelNeural network autoregressive modelPredictionTemporal trends

Identifiers

PMID39224908
PMCPMC11366886

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Registered trials

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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.