Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda: Computational national-level models.
- DOI
- 10.1097/md.0000000000050760
- Published
- 2026 Sep 18
- Container
- Medicine
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1097/md.0000000000050760,
title = {Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda: Computational national-level models.},
author = {Abdalla EAH and Elsadig M and Omar U and Eze VHU and Mergani A and Salhi A and Dafalla AM and Alkhalig YG and Ahmed SM and Vahwere BM},
year = {2026},
journal = {Medicine},
doi = {10.1097/md.0000000000050760},
url = {https://doi.org/10.1097/md.0000000000050760}
}RIS
TY - JOUR TI - Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda: Computational national-level models. AU - Abdalla EAH AU - Elsadig M AU - Omar U AU - Eze VHU AU - Mergani A AU - Salhi A AU - Dafalla AM AU - Alkhalig YG AU - Ahmed SM AU - Vahwere BM PY - 2026 JO - Medicine DO - 10.1097/md.0000000000050760 UR - https://doi.org/10.1097/md.0000000000050760 ER -
APA
EAH, A., M, E., U, O., VHU, E., A, M., A, S., AM, D., YG, A., SM, A., & BM, V. (2026). Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda: Computational national-level models.. Medicine. https://doi.org/10.1097/md.0000000000050760
Source records
- pubmed · retrieved 2026-09-26T07:48:02.561Z
- europe-pmc · retrieved 2026-09-26T07:48:02.574Z