Evidence map›Paper›PMID 38168550›Full record

ArticleScientific reports2024

Geospatial analysis of spatial distribution, patterns, and relationships of health status in the belt and road initiative.

Jie Li, Zejia Xu, Hongxi Wang, Lingling Li, Hong Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jie LiSchool of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Zejia XuSchool of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Hongxi WangGuangdong Federation of Social Sciences, Guangzhou, 510000, China.
Lingling LiGuangdong Federation of Social Sciences, Guangzhou, 510000, China.
Hong ZhuSchool of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou, 510006, China. zhuhong@gzhu.edu.cn.

Funding

General Research Fund from the National Natural Science Foundation of China No. 41971184General Research Fund from the National Natural Science Foundation of China No. 42142025National Natural Science Foundation of Guangdong Province No. 2018B030312004National Natural Science Foundation of Guangdong Province No. 2022A1515011113Philosophy and Social Sciences Planning 2022 Spiritual Research Project of the 13th Provincial Party Congress of Guangdong Province No. GD22TW06-09Tertiary Education Scientific research project of Guangzhou Municipal Education Bureau No. 202235023
6 · The paper itself

Abstract

The Health Silk Road plays a crucial role in the Belt and Road Initiative, and comprehending the health status within the participating countries is fundamental for fostering cooperation in public health. This paper collected five health indicators to represent the health status of the Belt and Road countries. Employing spatial statistics, the spatial patterns of health indicators and the associations with influencing factors were investigated. The utilized spatial statistics encompass spatial autocorrelation methods, geographical detector and spatial lag model. The results revealed obvious disparities and significant positive spatial autocorrelation of health indicators within the Belt and Road countries. Specifically, countries in Sub-Saharan Africa exhibited significant clustering of limited health indicators, while countries in Europe and Central Asia demonstrated significant clustering of robust health indicators. Furthermore, the health indicators exhibited significant spatial heterogeneity and association with the influencing factors. Universal health coverage, household air pollution, and the prevalence of undernourishment emerge as influential factors affecting health indicators. Overall, our findings highlighted complex influencing factors that contributed to the profound health inequalities across the Belt and Road countries. These factors should be duly considered in public health collaborations within the Belt and Road Initiative.

Indexed as

Air PollutionPublic HealthChinaEconomic DevelopmentEuropeHealth StatusSpatial Analysis

Identifiers

PMID38168550
PMCPMC10761736

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