Nursing Infection Control Research Topics from 2,651 Papers, 1974-2022

2,651 academic papers on nursing and infection control, published between 1974 and 2022, were analyzed using Latent Dirichlet Allocation topic modeling. The study by Dajung Ryu, published on figshare in 2026, identified four core themes, including epidemiological investigation and infection control leadership. The results provide a structured analysis of research trends and knowledge evolution in this healthcare domain.

Use Cases

• Analyzing long-term research trends in nursing based on the identified 'hot' and 'cold' topics over 48 years.
• Training or validating topic models for medical literature based on the pre-identified four core themes.
• Studying the integration of epidemiological evidence into nursing practices as suggested by the conclusions.
• Investigating the role of organizational factors like leadership in healthcare implementation, a key finding of the study.

Strengths

• Analysis covers a long time range of 48 years (1974-2022).
• Corpus is sourced from 2,651 papers retrieved from nine authoritative databases like PubMed and Scopus.
• Core themes are quantified with specific prevalence percentages (e.g., epidemiological investigation at 33.82%).

Limitations

• The 102.0 KB file size suggests the document likely contains the analysis results, not the full corpus of 2,651 papers.
• Column-level documentation for any underlying data is absent; field semantics must be inferred.
• Row count for any potential supplementary data is unknown, which may limit suitability assessment.

Provenance

Source

Papers retrieved from nine databases including PubMed, CINAHL, and Scopus.

Collection Method

Latent Dirichlet Allocation topic modeling applied to paper abstracts or full texts.

Time Range

1974 to 2022

Freshness

Last updated 2026-04-10 05:58:11; freshness should be verified.

Geography

null