Evidence map›Paper›PMID 38166922›Full record

ArticleBMC public health2024

Evaluating the impact of COVID-19 outbreak on hepatitis B and forecasting the epidemiological trend in mainland China: a causal analysis.

Chao-Qun He, Bai-Hong Sun, Wang-Tao Yu, Shu-Yi An, Bao-Jun Qiao, Wei Wu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Global Burden of Cirrhosis and Other Chronic Liver Diseases in 2021.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  6. Article
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 at 2 institutions in 1 country.

Chao-Qun HeDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Bai-Hong SunLiaoning Provincial Centers for Disease Control and Prevention, Shenyang, Liaoning, China.
Wang-Tao YuDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Shu-Yi AnLiaoning Provincial Centers for Disease Control and Prevention, Shenyang, Liaoning, China.
Bao-Jun QiaoLiaoning Provincial Centers for Disease Control and Prevention, Shenyang, Liaoning, China.
Wei WuDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China. wuwei@cmu.edu.cn.
China Medical University · CNShenyang Center for Disease Control and Prevention · CN

Funding

the Science Foundation of Liaoning Provincial Department of Education LJKQZ2021027
6 · The paper itself

Abstract

backgroundIt is uncertain how COVID-19 outbreak influences the hepatitis B epidemics. This study aims to evaluate the effects on hepatitis B owing to the COVID-19 outbreak and forecast the hepatitis B epidemiological trend in mainland China to speed up the course of the "End viral hepatitis Strategy".

methodsWe estimated the causal impacts and created a forecast through adopting monthly notifications of hepatitis B each year from 2005 to 2020 in mainland China using the Bayesian structural time series (BSTS) method.

resultsThe hepatitis B epidemics fluctuates irregularly during the period 2005-2007(APC = 8.7, P = 0.246) and 2015-2020(APC = 1.7, P = 0.290), and there is a downturn (APC=-3.2, 95% CI -5.2 to -1.2, P = 0.006) from 2007 to 2015 in mainland China. The COVID-19 outbreak was found to have a monthly average reduction on the hepatitis B epidemics of 26% (95% CI 18-35%) within the first three months in 2020,17% (95% CI 7.7-26%) within the first six months in 2020, and 10% (95% CI19-22%) all year as a result of the COVID-19 outbreak, (probability of causal effect = 96.591%, P = 0.034) and the forecasts showed an upward trend from 2021 to 2025 (annual percentage change = 4.18, 95% CI 4.0 to 4.3, P < 0.001).

conclusionThe COVID-19 has a positive effect on the decline of hepatitis B cases. And the potential of BSTS model to forecast the epidemiological trend of the hepatitis B can be applied in automatic public health policymaking in mainland China.

Indexed as

COVID-19Hepatitis BBayes TheoremChinaDisease OutbreaksForecastingHumansBSTSCausal impactCOVID-19ForecastingHepatitis B

Identifiers

PMID38166922
PMCPMC10763123
OpenAlexW4390508882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.