Design and Implementation of a Knowledge Graph for Integrating Global Health Data Using Neo4j.
| Title: | Design and Implementation of a Knowledge Graph for Integrating Global Health Data Using Neo4j. |
|---|---|
| Authors: | Yan Y; Heidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.; Sié A; Heidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.; Centre de Recherche en Santé, Nouna, Burkina Faso.; Boudo V; Centre de Recherche en Santé, Nouna, Burkina Faso.; Zabré P; Centre de Recherche en Santé, Nouna, Burkina Faso.; Ouedraogo A; Centre de Recherche en Santé, Nouna, Burkina Faso.; Barteit S; Heidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 448-452. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991- |
| MeSH Terms: | Global Health* ; Databases, Factual*; Humans |
| Abstract: | Global health research requires the integration of diverse datasets and continuous updates to enable more effective monitoring and interpretation of global health trends. However, traditional tabular datasets often fall short in accommodating multiple datasets with heterogeneous schemas and evolving structures, and they hinder the efficient updating of such datasets once integrated. Graph databases offer a natural solution to these challenges by providing a flexible data structure that can explicitly represent complex relationships and accommodate incremental updates without requiring modifications to existing data. This paper presents an initial attempt to apply graph database technology to global health research by proposing a structured roadmap for constructing a Neo4j-based knowledge graph from heterogeneous data sources. The application of knowledge graphs in global health research enables comprehensive, up-to-date representation of complex datasets, facilitates direct insights into multifaceted relationships, supports multi-perspective analyses, and establishes a foundation for scalable and analytically robust research in the field. |
| Contributed Indexing: | Keywords: Global health research; Knowledge graph; Neo4j |
| Entry Date(s): | Date Created: 20260703 Date Completed: 20260703 Latest Revision: 20260703 |
| Update Code: | 20260703 |
| DOI: | 10.3233/SHTI260882 |
| PMID: | 42394044 |
| Database: | MEDLINE |
Journal Article