Severe droughts and the tuberculosis and HIV care cascade in the Brazilian Amazon: a Bayesian, structural, interrupted time-series analysis of 24 years of surveillance data.

Menezes RC, Teles RM, Ferreira IBB, Garcia LS, Pinheiro JS, Mota TF, Villalva-Serra K, Macedo LR, Rodrigues MMS, Queiroz ATL, Cordeiro-Santos M, Andrade BB, Planetary Health And Science Ensemble (PHASE) Consortium.

Open source

DOI
10.1016/j.lanplh.2026.101459
Published
2026-05-01
Container
Lancet Planet Health
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.lanplh.2026.101459,
  title = {Severe droughts and the tuberculosis and HIV care cascade in the Brazilian Amazon: a Bayesian, structural, interrupted time-series analysis of 24 years of surveillance data.},
  author = {Menezes RC and  Teles RM and  Ferreira IBB and  Garcia LS and  Pinheiro JS and  Mota TF and  Villalva-Serra K and  Macedo LR and  Rodrigues MMS and  Queiroz ATL and  Cordeiro-Santos M and  Andrade BB and  Planetary Health And Science Ensemble (PHASE) Consortium.},
  year = {2026},
  journal = {Lancet Planet Health},
  doi = {10.1016/j.lanplh.2026.101459},
  url = {https://doi.org/10.1016/j.lanplh.2026.101459}
}

RIS

TY  - JOUR
TI  - Severe droughts and the tuberculosis and HIV care cascade in the Brazilian Amazon: a Bayesian, structural, interrupted time-series analysis of 24 years of surveillance data.
AU  - Menezes RC
AU  -  Teles RM
AU  -  Ferreira IBB
AU  -  Garcia LS
AU  -  Pinheiro JS
AU  -  Mota TF
AU  -  Villalva-Serra K
AU  -  Macedo LR
AU  -  Rodrigues MMS
AU  -  Queiroz ATL
AU  -  Cordeiro-Santos M
AU  -  Andrade BB
AU  -  Planetary Health And Science Ensemble (PHASE) Consortium.
PY  - 2026
JO  - Lancet Planet Health
DO  - 10.1016/j.lanplh.2026.101459
UR  - https://doi.org/10.1016/j.lanplh.2026.101459
ER  - 

APA

RC, M., RM, T., IBB, F., LS, G., JS, P., TF, M., K, V., LR, M., MMS, R., ATL, Q., M, C., BB, A., & Consortium., P. H. A. S. E. (. (2026). Severe droughts and the tuberculosis and HIV care cascade in the Brazilian Amazon: a Bayesian, structural, interrupted time-series analysis of 24 years of surveillance data.. Lancet Planet Health. https://doi.org/10.1016/j.lanplh.2026.101459

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