Evidence map›Paper›PMID 42399891›Full record

ArticleBMC public health2026

Economic development and under-five mortality: a global longitudinal analysis of lagged effects and between-country inequalities.

Dehai Li, Wenhua An, Bei Liu, Zemin Qing, Ziyan Yin, Yuxuan Lu, Yanghuan Xu, Dandan Yin, Shen Li, Kai Cheng and 2 more

Abstract read
In one paragraph

Article in BMC 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.

Dehai Li *Department of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Wenhua An *Department of Maternal, Child and Adolescent Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Bei Liu *Department of health education, Jinan Health Publicity and Education Center, Jinan, 250000, China.
Zemin QingDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Ziyan YinDepartment of Maternal, Child and Adolescent Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yuxuan LuDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Yanghuan XuDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Dandan YinDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Shen LiDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Kai ChengDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Can YuanThe Second Clinical Medical College, Guangdong Medical University, Dongguan, 523808, China.
Qiong DaiDepartment of Health, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China. 2020FY0013@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the relationship between under-five mortality rate (U5MR) and economic development is essential for promoting global child health and advancing health equity. This study analyzed the spatiotemporal patterns of U5MR and its associations with macroeconomic indicators from 2000 to 2023.

methodsPanel data from 158 countries were used to analyze to characterize the spatial distribution of U5MR in 2023 and regional trends in the average annual percent change (AAPC) of U5MR from 2000 to 2023. Spearman correlation analysis, lagged analysis, and panel Granger causality tests were conducted to evaluate the associations and directionality between the U5MR and gross domestic product (GDP), GDP per capita (GDPpc), GDP growth rate, and inflation.

resultsIn 2023, U5MR remained markedly higher in sub-Saharan Africa than in other regions. From 2000 to 2023, U5MR declined more rapidly in Africa and parts of Asia, whereas declines were slower in Europe and North America. Regional correlation indicated that the AAPC of U5MR was significantly negatively associated with the AAPCs of GDP and GDPpc in Asia (r

conclusionsThis study demonstrates that macroeconomic factors shape U5MR with significant regional disparities and heterogeneous lagged effects. Regional authorities should adopt differentiated strategies: prioritizing economic development in Asia, Europe, and Africa, while implementing health-focused improvement programs in North America, South America, and Oceania. Governments should maintain stable long-term economic and income growth, and increase sustained public investment in child health services and nutrition programs to lower U5MR. Given that lower U5MR drives economic growth, sustaining its decline is a long-term economic priority.

trial registrationClinical trial number: not applicable.

Indexed as

Child MortalityEconomic DevelopmentGlobal HealthInfant MortalityChild, PreschoolGross Domestic ProductHumansInfantLongitudinal StudiesSocioeconomic Disparities in HealthGranger causality testLag effectMacroeconomyRegional disparityUnder-five mortality

Identifiers

PMID42399891
PMCPMC13602488

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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.