Evidence map›Paper›PMID 42205429›Full record

ArticleFrontiers in public health2026

Global epidemiological trends, distribution of NTDs and malaria, and disease burden projections for the next 15 years.

Huan Huang, Yang Gao, Huajing Zhu, Yameng Xu, Minli Li, Fanjin Meng, Xinyan Chen, Gengting Du, Weibo Ma, Jiaojiao Qian and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Huan Huang *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Yang Gao *Center for Disease Control and Prevention in Xishuangbanna Dai Autonomous Prefecture, Jinghong, China.
Huajing Zhu *Jinling Hospital, Nanjing, China.
Yameng XuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Minli LiJinling Hospital, Nanjing, China.
Fanjin MengDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Xinyan ChenNanjing Bioengineering (Gene) Technology Centre for Medicines, Nanjing, China.
Gengting DuNanjing Bioengineering (Gene) Technology Centre for Medicines, Nanjing, China.
Weibo MaNanjing Bioengineering (Gene) Technology Centre for Medicines, Nanjing, China.
Jiaojiao QianNanjing Bioengineering (Gene) Technology Centre for Medicines, Nanjing, China.
Yuanyuan LiCenter for Disease Control and Prevention in Xishuangbanna Dai Autonomous Prefecture, Jinghong, China.
Weilong TanDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates global and regional trends in the burden of malaria and neglected tropical diseases (NTDs) from 1990 to 2021, focusing on their changing patterns and influencing factors. Using data from the Global Burden of Disease study 2021 (GBD study 2021), we analyzed the incidence, prevalence, mortality, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) of malaria and NTDs at both regional and global levels. A vector autoregression (VAR) model was employed to explore the effects of the Socio-Demographic Index (SDI), environmental risks, and behavioral risks and to predict the disease burden over the next 15 years. The study highlights the geographical distribution and variations in risk factors associated with malaria and NTDs, offering public health recommendations for their elimination. Methods: This research used data from the GBD study 2021 to examine annual incidence rates (age-standardized incidence rate, ASIR), mortality rates (age-standardized death rate, ASDR), and Disability-Adjusted Life Years (DALYs) for malaria and NTDs by region, age, and sex. Joinpoint software was applied to analyze time trends from 1990 to 2021. A VAR model incorporating factors such as the SDI, unsafe water sources, sanitation, and handwashing practices was employed to identify significant risk factors influencing disease burden and to project future trends. Results: From 1990 to 2021, the global burden of malaria decreased, especially in Sub-Saharan Africa, while the incidence of NTDs increased until 2016 and then decreased. Age-standardized DALYs and ASDR for NTDs showed a steady decline, reflecting the impact of effective interventions. The VAR model showed that the SDI influenced both malaria and NTD burdens, especially in low-SDI regions, with environmental sanitation and unsafe behavioral factors significantly impacting malaria. Conclusion: Strengthening environmental sanitation and international cooperation can reduce the burden of malaria and NTDs. Future public health efforts should focus on enhancing infrastructure, particularly in low-SDI regions, to combat challenges posed by climate change and to support the ongoing elimination of malaria and NTDs.

Indexed as

Cost of IllnessGlobal Burden of DiseaseGlobal HealthMalariaNeglected DiseasesAdolescentAdultChildChild, PreschoolDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceInfantMaleenvironmental risksglobal disease burdenmalarianeglected tropical diseasesVAR model

Identifiers

PMID42205429
PMCPMC13201495

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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.