Forecasting Tuberculosis Incidence in Somalia: A Comparative Analysis of Single and Hybrid Time‐Series Models
The resulting forecasts provide valuable insights into future TB incidence trends in Somalia. These findings underscore the importance of hybrid modeling in generating accurate data to aid informed public health decision-making and the development of targeted intervention strategies for TB control.
Authors
- Mohamed Said Hassan (ORCID: https://orcid.org/0000-0003-2389-8717)
- Hana Mahdi Dahir
- Ayan Husein Korse
- Saralees Nadarajah
- Farduus Ibrahim Mohamed
Institutions
- University of Hargeisa (SO)
- University of Manchester (GB)
- Amoud University (SO)
Publication Details
- Journal
- Health Science Reports
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1002/hsr2.71923
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00