Evidence map›Paper›PMID 41462130›Full record

ArticleBMC infectious diseases2025

Global burden and cross-country inequalities in rabies from 1990 to 2021: a systemic analysis of the global burden of disease study 2021.

Qin-Yan Zuo, Wen-Wen Lv, Yu Qin, Jian Yang, Yun-Fei Zhang, Guo-Bing Yang, Can-Jun Zheng, Mai-Geng Zhou, Ji-Chun Wang, Shun-Xian Zhang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. 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.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

Qin-Yan ZuoLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
Wen-Wen LvClinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yu QinDepartment of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Jian YangDepartment of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yun-Fei ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Guo-Bing YangGansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, 730000, China.
Can-Jun ZhengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Mai-Geng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Ji-Chun WangDepartment of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. wangjc@chinacdc.cn.
Shun-Xian ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China. zhangshunxian110@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRabies is a nearly 100% fatal, vaccine-preventable disease. This study provides a comprehensive global analysis of rabies burden from 1990 to 2021, highlighting health inequality, and aims to inform resource allocation and reduce the overall burden.

methodsThe study systematically evaluated the global, regional, and national burden of rabies and its trends from 1990 to 2021 using data from the GBD 2021 database. The Bayesian age-period-cohort (BAPC) model was applied to project future disease burden trends, including age-standardized incidence rate (ASIR), mortality rate (ASMR), and disability-adjusted life-years rate (ASDR). Frontier analysis was conducted to estimate achievable outcomes across different development levels, and decomposition analysis was employed to identify the driving factors behind changes in disease burden.

resultsFrom 1990 to 2021, the global burden of rabies showed a significant decline across multiple indicators. Specifically, the ASIR decreased from 0.42 per 100,000 population [95% uncertainty interval (UI): 0.30, 0.55] in 1990 to 0.13 per 100,000 population (95% UI: 0.08, 0.18) in 2021, reflecting a 69.38% reduction [95% UI: −77.61, −61.03; estimated annual percentage change (EAPC): −4.06% (95% confidence interval, CI: −4.32, −3.80)]. Similar reductions were observed in the ASMR, and ASDR, which declined by 69.35% (95% UI: −77.62, −61.02), and 69.39% (95% UI: −79.35, −59.48), respectively. Frontier analysis showed that significant room for improvement in rabies prevention and control remains in several high-SDI countries and regions, such as the United Arab Emirates, Norway, the United States, Latvia, and Greenland, and many low SDI countries.

conclusionDespite progress in reducing rabies burden, low-SDI regions remain a priority. Key strategies include enhancing canine vaccination, post-exposure prophylaxis, stray dog control, and international collaboration. Future research should improve data quality and adapt interventions to local contexts to achieve the 2030 goal of eliminating dog-mediated human rabies. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Global Burden of DiseaseRabiesAnimalsBayes TheoremDisability-Adjusted Life YearsDogsGlobal HealthHumansIncidenceRabies VaccinesRabies VaccinesDecomposition analysisFrontier analysisGlobal burden of diseaseHealth inequalityRabies

Identifiers

PMID41462130
PMCPMC12859832

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.