Evidence map›Paper›PMID 40194698›Full record

ArticleJournal of advanced research2026

Global, regional, and national burden of neglected tropical diseases and malaria in the general population, 1990-2021: Systematic analysis of the global burden of disease study 2021.

Jin-Xin Zheng, Yang Liu, Shi-Yang Guan, Zhao-Yu Guo, Lei Duan, Shan Lv, Shun-Xian Zhang, Shi-Zhu Li, Xiao-Nong Zhou, Xin-Yu Feng

Abstract read
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Jin-Xin ZhengSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 20025, China; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China. Electronic address: jamesjin63@163.com.
Yang LiuSichuan Center for Disease Control and Prevention, Chengdu 610041, China. Electronic address: liuyangcdc@163.com.
Shi-Yang GuanDepartment of Epidemiology and Biostatistics, School of Public Health, Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, Anhui 230601, China. Electronic address: gsy92@foxmail.com.
Zhao-Yu GuoBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX37LF, United Kingdom. Electronic address: Zhaoyu_Guo@outlook.com.
Lei DuanNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, China. Electronic address: duanlei@nipd.chinacdc.cn.
Shan LvNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, China. Electronic address: lvshan@nipd.chinacdc.cn.
Shun-Xian ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China. Electronic address: zhangshunxian110@163.com.
Shi-Zhu LiSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 20025, China; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, China. Electronic address: lisz@chinacdc.cn.
Xiao-Nong ZhouSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 20025, China; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, China. Electronic address: fengxy@shsmu.edu.cn.
Xin-Yu FengSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 20025, China; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China. Electronic address: zhouxn1@chinacdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeglected Tropical Diseases (NTDs) and malaria present considerable health obstacles, particularly impacting the socio-economic progress in at-risk areas. We aimed to estimate the burden, trends, and inequalities of NTDs and malaria globally, regionally, and nationally from 1990 to 2021.

methodsThe study utilized data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, encompassing 204 countries and territories, spanning 21 global regions, including diverse populations across different Socio-Demographic Index (SDI) levels. Primary outcomes were the incidence and prevalence rates, Disability-Adjusted Life Years (DALYs), age-standardized rates, SDI, mortality rates, and 95% uncertainty intervals (UIs) for NTDs and malaria.

resultsIn 2021, the global incidence of NTDs and malaria reached 4,259.54 per 100,000 population (95% UI: 3,188.38-5,488.91), a 0.56% increase since 1990 (4,235.42 per 100,000, 95% UI: 3,347.35-5,282.14). Conversely, the global prevalence saw a significant reduction of 58.05%, from 34,451.84 per 100,000 in 1990 (95% UI: 32,668.32-36407.73) to 14,454.15 per 100,000 in 2021 (95% UI: 13,659.74-15,452.20). DALYs decreased by 18.06% from 87.42 million years (95% UI: 59.03-141.60 million) in 1990 to 71.63 million years (95% UI: 38.74-122.93 million) in 2021. Regional analysis revealed significant variances, with Western Sub-Saharan Africa reporting the highest incidence rates and Central Asia and East Asia showing substantial declines. The study also highlighted considerable disparities among different SDI regions, with lower SDI regions bearing a more significant disease burden. Age and gender disparities were prominent, particularly among children under five years, who showed the highest incidence and prevalence rates.

conclusionsThe study demonstrates significant progress in reducing the burden of NTDs and malaria globally over the past three decades, particularly in terms of prevalence and DALYs. However, the increase in incidence rates emphasizes the ongoing challenges in fully controlling these diseases. Continued efforts to strengthen health systems, particularly in low SDI regions, are essential to sustain the gains made and address remaining challenges. The findings advocate for integrating economic development with public health strategies to achieve effective disease control and improved health outcomes.

Indexed as

Global Burden of DiseaseMalariaNeglected DiseasesAdolescentAdultChildChild, PreschoolDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceInfantMaleMiddle AgedPrevalenceDALYsDisease burdenMalariaNTDsSDI

Identifiers

PMID40194698
PMCPMC12766246

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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.