Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management.

Tamakloe MD, Kuuwill A, Osumanu I, Siripi H

Open source

DOI
10.1016/j.gloepi.2025.100214
Published
2025 Dec
Container
Global epidemiology
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

Cite this work

BibTeX

@article{allodium:10.1016/j.gloepi.2025.100214,
  title = {Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management.},
  author = {Tamakloe MD and Kuuwill A and Osumanu I and Siripi H},
  year = {2025},
  journal = {Global epidemiology},
  doi = {10.1016/j.gloepi.2025.100214},
  url = {https://doi.org/10.1016/j.gloepi.2025.100214}
}

RIS

TY  - JOUR
TI  - Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management.
AU  - Tamakloe MD
AU  - Kuuwill A
AU  - Osumanu I
AU  - Siripi H
PY  - 2025
JO  - Global epidemiology
DO  - 10.1016/j.gloepi.2025.100214
UR  - https://doi.org/10.1016/j.gloepi.2025.100214
ER  - 

APA

MD, T., A, K., I, O., & H, S. (2025). Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management.. Global epidemiology. https://doi.org/10.1016/j.gloepi.2025.100214

Source records