Correction: A machine learning approach for differential classification of chikungunya virus: an explainable AI study based on surveillance data - Report - MDSpire
Coming Soon: Introducing MDSpire News. Learn more
Conexiant’s news site is now MDSpire News. Learn more

Correction: Explainable machine learning for differential classification of chikungunya virus using surveillance data

  • By

  • Natacha Usanase

  • Berna Uzun

  • Dilber Uzun Ozsahin

  • October 21, 2026

Share

Clinical Report: Correction to Explainable Machine Learning for Chikungunya Classification

Overview

This correction notice addresses presentation errors in the original article, “Explainable machine learning for differential classification of chikungunya virus using surveillance data.” The p-values for Race and Pregnancy in Table 1 were changed from bold to regular formatting, and duplicate panels were removed from Figures 4 and 5.

Background

Chikungunya virus is a mosquito-borne pathogen, and the original article concerns its differential classification using surveillance data. The correction notice does not provide the study methods, model performance, or clinical results. It identifies specific table-formatting and figure-panel errors and states that the original article has been corrected.

Data Highlights

LocationCorrection
Table 1Race and Pregnancy p-values changed from bold to regular formatting for consistency with the other p-values.
Figure 4Duplicate sub-figures in the lower section, matching panels above, were removed.
Figure 5Duplicate bottom-row sub-figures matching the top row were removed.

Key Findings

  • The notice concerns the article “Explainable machine learning for differential classification of chikungunya virus using surveillance data.”
  • In Table 1, the p-values in the Race and Pregnancy rows were inadvertently displayed in bold.
  • Those p-values were changed to regular formatting to match the table’s other p-values.
  • Figure 4 contained duplicate lower-section panels corresponding to panels above; the duplicates were removed.
  • Figure 5 contained bottom-row panels duplicating the top row; the duplicate panels were removed.
  • The notice states that the original article has undergone correction.

Clinical Implications

The notice reports corrections to table formatting and figure content; it does not report changes to study methods, results, or clinical recommendations. Readers consulting the article should refer to its corrected version.

Conclusion

The correction clarifies the presentation of Table 1 and removes duplicated panels from Figures 4 and 5. No further scientific or clinical changes are described in the notice.

Related Resources & Content

  1. Infection, 2026 -- Correction: Explainable machine learning for differential classification of chikungunya virus using surveillance data
  2. CDC -- Clinical Testing and Diagnosis for Chikungunya Virus Disease
  3. Frontiers in Immunology, 2026 -- Correction: Shared germline-biased plasmablast clonotypes shape early neutralizing antibody responses during acute Chikungunya virus infection
  4. International Journal of Infectious Diseases — Evolutionary Patterns of Chikungunya Virus in Bangladesh: A Study from 2008 to 2025
  5. International Journal of Infectious Diseases — A Multilevel Molecular Monitoring System Connecting Swift Dengue Identification to Genomic Epidemiology in Senegal
  6. International Journal of Infectious Diseases — Global performance of predictive models for dengue severity, hospitalization and mortality: a systematic review and meta-analysis of 146 studies
  7. Clinical Testing and Diagnosis for Chikungunya Virus Disease | CDC
  8. ArboNET | Vector-Borne Diseases | CDC
  9. WHO guidelines for clinical management of arboviral diseases
  10. Epidemiological alert Chikungunya - 10 February 2026 | PAHO/WHO
  11. Factsheet for health professionals about chikungunya virus disease | ECDC
  12. Clinical Testing and Diagnosis for Chikungunya Virus Disease | Chikungunya Virus | CDC
  13. ArboNET | Vector-Borne Diseases | CDC
  14. WHO guidelines for clinical management of arboviral diseases - NCBI Bookshelf
  15. Epidemiological alert Chikungunya - 10 February 2026 - PAHO/WHO | Pan American Health Organization
  16. Factsheet for health professionals about chikungunya virus disease
  17. FDA and CDC Recommend Pause in Use of Ixchiq (Chikungunya Vaccine, Live) in Individuals 60 Years of Age and Older While Postmarketing Safety Reports are Investigated | FDA
  18. VIMKUNYA | FDA
  19. Chikungunya Vaccine Information for Healthcare Providers | Chikungunya Virus | CDC
  20. Chikungunya virus virus-like particle vaccine (VIMKUNYA) elicits cross-neutralization across CHIKV lineages and against other alphaviruses after just one dose - ScienceDirect
  21. Predictors of chronic arthralgia after chikungunya virus infection: a systematic review and meta-analysis | Journal of Travel Medicine | Oxford Academic
  22. A machine learning approach for differential classification of chikungunya virus: an explainable AI study based on surveillance data.
  23. Epidemiological Update: Dengue and Chikungunya in the Americas Region - 20 October 2026 - PAHO/WHO | Pan American Health Organization

Original Source(s)

Related Content