Evidence map›Paper›PMID 41748835›Full record

ArticleScientific reports2026

Unpacking the influence of ICT on respiratory diseases in Sub-Saharan Africa.

Heng Luo, LianPing Zhang, Ying Sun, Li Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Heng LuoFuzhou University of International Studies and Trade, Fuzhou, Fujian, China.
LianPing ZhangJiangxi Institute of Fashion Technology, Nanchang, Jiangxi, China.
Ying SunFuzhou University of International Studies and Trade, Fuzhou, Fujian, China. 2398596174@qq.com.
Li ZhangZhenkou Township People's Government, Fuzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Sub-Saharan Africa, respiratory diseases (RD) resulting from climate change are becoming an increasingly serious public health concern. As ICT continues to expand across the region, its role in shaping health outcomes, including RD, has attracted growing attention. This study examines the impact of ICT on RD by incorporating the Environmental Kuznets Curve (EKC) hypothesis, based on data from 29 countries spanning 2000 to 2019. The findings reveal that: (1) ICT improve RD; (2) an inverted U-shaped EKC relationship holds between economic growth and RD; (3) heterogeneity analysis further indicates that ICT's impact on RD is stronger in regions with higher levels of FDI and economic globalization; and (4) effective country governance weakens the positive impact of ICT on RD. Regarding the policy aspect, this research also puts forward several suggestions.

Indexed as

Respiratory Tract DiseasesAfrica South of the SaharaClimate ChangeHumansPublic HealthCountry governanceEKCICTPublic healthRespiratory diseasesSub-Saharan AfricaSustainable development

Identifiers

PMID41748835
PMCPMC12972333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.