Group-based trajectory modeling to describe the geographical distribution of tuberculosis notifications
GBTM is a powerful tool for identifying geographic clusters of varying levels of TB notification when longitudinal data on the number of TB diagnoses are available. This analysis can inform the planning and evaluation of intervention strategies.
Authors
- Bareng A. S. Nonyane (ORCID: https://orcid.org/0000-0001-5633-7487)
- Limakatso Lebina (ORCID: https://orcid.org/0000-0001-6825-0573)
- Alemnew F. Dagnew (ORCID: https://orcid.org/0000-0003-4181-058X)
- David W. Dowdy (ORCID: https://orcid.org/0000-0003-0481-7475)
- Neil Alexander Martinson (ORCID: https://orcid.org/0000-0002-0184-5705)
- Colleen F. Hanrahan (ORCID: https://orcid.org/0000-0002-4544-4591)
Institutions
- Gates (United States) (US)
- Johns Hopkins University (US)
- University of the Witwatersrand (ZA)
- Perinatal HIV Research Unit (ZA)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1186/s12889-025-22083-x
- Citations
- 2
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 2.79