Meta-synthesis and science mapping analysis of HIV/HPV co-infection: a global perspective with emphasis on Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Viral infections are emerging with diverse clinical relevance both in endemic environments and non-endemic regions of the world. Some of the viruses cause co-infections that are of public health importance. The progress of studies on human immunodeficiency virus / Human papillomavirus (HIV/HPV) co-infection is not well documented especially in Africa where cases are endemic. METHOD: Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a global three-decade meta-synthesis and science mapping analysis on HIV/HPV co-infections. Assessment of progress, Author/Country productivity/trends, topic conceptual framework, and international collaborative networks were analyzed. RESULTS: We recovered 196 documents of 115 sources from the web of science database. The meta-synthesis revealed 1203 prolific authors containing nine solo authors, an annual growth rate of 8.09%, a significant average citation per article of 20.7%, and an average citation per year per document of 2.1. A significant high correlation between the mean/TC per article and the mean total citation (TC) per year showed 80.98% of the articles produced between 2005 and 2007 on HPV/HIV co-infection. The co-author per document index were 7.0 and the collaboration index was 6.4. The meta-analysis also revealed inadequate funding from individual or governmental organizations; among the 196 documents dataset, 114 (58.2%) were funded, and only 31 (15.8%) were funded in Africa where HIV/HPV co-infection cases are endemic. CONCLUSIONS: Authors' collaboration network, countries' collaboration, authors' citations and implementation of research-based finding in previous studies are yet to receive the relevant outcome, especially as various countries in the African continent have received poor funding with a repeated reporting of co-infection associated with HIV/HPV. African needs to re-awaken and stir up research-based interest in HPV/HIV co-infection studies to resolve indigenous public health concerns associated with the viral endemicity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it