Evidence map›Paper›PMID 41979798›Full record

ArticleEcoHealth2026

Spotlight on SDG 3 at the Mid-Term: A Bibliometric Network Analysis.

Nahed T Zeini

Abstract read
PubMed Publisher
In one paragraph

Article in EcoHealth, 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

1 author.

Nahed T ZeiniSocio-Computing Department, Faculty of Economics and Political Science, Cairo University, Giza, Egypt. nahed.taha@cu.edu.eg.ORCID http://orcid.org/0000-0002-2484-6700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the adoption of the UN Sustainable Development Goals (SDGs) in 2015, SDG 3-Good Health and Well-being-has attracted rapidly growing scholarly attention. This study maps the evolution, geographic distribution, collaborative structure, and thematic fronts of SDG 3-related research published between 2015 and 2023 using a bibliometric network approach. The analysis is based on 10,676 Scopus-indexed publications, with country-level patterns cross-validated using Web of Science data to assess the robustness of geographic findings. Results reveal sustained and accelerating growth in SDG 3 research, particularly after 2019. Research output and collaboration networks remain concentrated in high-income countries, most notably the USA and the UK, while many low- and middle-income countries remain underrepresented in indexed literature. India emerges as a key bridging actor within international collaboration networks, while China exhibits substantial collaboration strength and sustained publication output, together reflecting evolving patterns of global research connectivity. Thematic mapping identifies four principal research clusters: (1) health systems and governance; (2) sustainable development and well-being; (3) technological and circular innovation in healthcare; and (4) climate- and ecosystem-related health risks. Emerging paradigms such as One (Digital) Health, Circular Health, and HealthCare 5.0 reflect a broader shift toward integrative, sustainability-oriented health frameworks that position health within interconnected ecological, technological, and governance systems. The study provides insights for researchers and policymakers while acknowledging limitations related to database coverage and reliance on SDG-specific terminology in the search strategy.

Indexed as

BibliometricsGlobal HealthSustainable DevelopmentHumansUnited Nationsbibliometric analysisglobal health governancehealth policyscientific collaboration networksSDG 3sustainable development goals (SDG)

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.