ReviewJournal of preventive medicine and public health = Yebang Uihakhoe chi2021
Network Analysis in Systems Epidemiology.
Review in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- How health literacy and eHealth literacy influence quality of life in older adults with chronic diseases: a network and path analysis.Health and quality of life outcomes · 2026Article
- A network analysis of postoperative frailty in older adults: a prospective multicenter study in China.BMC geriatrics · 2026Observational
- Network analysis of social support, resilience, quality of life, and insomnia under pandemic control measures.Frontiers in public health · 2026Article
- Integrated genomics and metabolomics to identify cause-specific biomarkers for chronic kidney disease in a Korean population.Kidney research and clinical practice · 2026Article
- Network analysis of influencing factors on rural residents' health communication behaviors: a social-ecological perspective.Frontiers in public health · 2026Article
- Implications of pubertal stage in cardiometabolic risk factors in obese adolescents: a network analysis.BMC pediatrics · 2025Article
- Exploring core symptoms and symptom clusters among patients with neuromyelitis optica spectrum disorder: A network analysis.International journal of nursing sciences · 2025Article
- Network analysis of demographics, dietary habits and health-related quality of life among northern Chinese population.BMJ public health · 2025Article
- Navigating the Unique Challenges of Caregiving for Children with Rare Diseases: Are the Care Experiences of All Caregivers the Same? A Focus on Life-Limiting Rare Diseases.Journal of clinical medicine · 2024Article
- A network analysis of nutritional markers and maternal perinatal mental health in the French EDEN cohort.BMC pregnancy and childbirth · 2023Article
- Application of Graphs in a One Health Framework.Advances in experimental medicine and biology · 2023Article
- Reconstruction of the Temporal Correlation Network of All-Cause Mortality Fluctuation across Italian Regions: The Importance of Temperature and Among-Nodes Flux.Entropy (Basel, Switzerland) · 2022Article
- Applying the exposome concept to working life health: The EU EPHOR project.Environmental epidemiology (Philadelphia, Pa.) · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the "black-box" aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.
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Registered trials
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.