Published January 31, 2026 | Version v1
Dataset Restricted

Severe Droughts and the Tuberculosis and HIV Care Cascade in the Brazilian Amazon (2001–2024): Code and Derived Data for Bayesian Interrupted Time-Series Analyses

Authors/Creators

  • 1. ROR icon Escola Bahiana de Medicina e Saúde Pública
  • 2. Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz
  • 3. ROR icon Fundação de Medicina Tropical
  • 4. Instituto de Ciências Atmosféricas (ICAT), Universidade Federal do Alagoas
  • 5. Universidade do Estado do Amazonas Escola Superior de Ciências da Saúde
  • 6. INSTITUTO MONSTER DE ENSINO, ASSISTÊNCIA, PESQUISA E DESENVOLVIMENTO TECNOLÓGICO EM SAÚDE

Description

Analysis code and derived (aggregated) datasets supporting the manuscript: “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.”

We quantified drought-associated disruptions in primary-care consultations and the tuberculosis (TB) and HIV care cascades across Amazonas state (Brazil), using interrupted time-series models with basin-level partial pooling. Severe drought episodes were defined by hydrometeorological criteria (relative maximum cumulative water deficit [rMCWD] < −2·0 or monthly river discharge ≤ 5th historical percentile), with a two-month immediate post-drought window to capture lagged operational impacts.

Files

Restricted

The record is publicly accessible, but files are restricted. <a href="https://zenodo.org/account/settings/login?next=https://zenodo.org/records/18444506">Log in</a> to check if you have access.

Additional details

Funding

Fundação de Amparo à Pesquisa do Estado do Amazonas
01.02.016301.004961/2023-21

Software

Programming language
R
Development Status
Active