Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence
- DOI
- 10.1186/s41182-026-00940-8
- Published
- 2026-03-20
- Container
- Tropical Medicine and Health
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s41182-026-00940-8,
title = {Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence},
author = {Gabriel Masson and Kaio Viana and Sebastião Rogerio and Kayo Henrique de C. Monteiro and Jamile Taniele-Silva and Gabriela Cavalcanti Lima Albuquerque and Moacyr Jesus Barreto de Melo Rêgo and André Machado de Siqueira and Raphael Dourado and Patricia Takako Endo},
year = {2026},
journal = {Tropical Medicine and Health},
doi = {10.1186/s41182-026-00940-8},
url = {https://doi.org/10.1186/s41182-026-00940-8}
}RIS
TY - JOUR TI - Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence AU - Gabriel Masson AU - Kaio Viana AU - Sebastião Rogerio AU - Kayo Henrique de C. Monteiro AU - Jamile Taniele-Silva AU - Gabriela Cavalcanti Lima Albuquerque AU - Moacyr Jesus Barreto de Melo Rêgo AU - André Machado de Siqueira AU - Raphael Dourado AU - Patricia Takako Endo PY - 2026 JO - Tropical Medicine and Health DO - 10.1186/s41182-026-00940-8 UR - https://doi.org/10.1186/s41182-026-00940-8 ER -
APA
Masson, G., Viana, K., Rogerio, S., Monteiro, K. H. D. C., Taniele-Silva, J., Albuquerque, G. C. L., Rêgo, M. J. B. D. M., Siqueira, A. M. D., Dourado, R., & Endo, P. T. (2026). Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence. Tropical Medicine and Health. https://doi.org/10.1186/s41182-026-00940-8
Source records
- crossref · retrieved 2026-09-25T19:33:36.029Z