Case Studies: Complete Pipelines with climasus4r
Source:vignettes/tutorial_estudos_casos.Rmd
tutorial_estudos_casos.RmdIntroduction
The introductory climasus4r tutorials present each
function individually, focusing on learning each pipeline step in
isolation. In this case studies section, the goal is
different: to show how the functions combine into complete pipelines,
executable and oriented toward real scientific problems.
Each case study integrates DATASUS data with INMET climate data, producing an analytical base ready for statistical modeling. The four cases cover the systems most widely used in Brazilian environmental epidemiology (SIM-DO, SINAN, SIH), different geographic regions, and different temporal and climate aggregation strategies.
The pipelines are presented with complete code, step-by-step explanation, and a description of the expected output. The ultimate goal is for the reader to be able to adapt any of them to their own research context, changing states, years, disease groups, and climate integration strategies.
All chunks have eval=FALSE: no analysis is executed
while rendering this document. The case studies are reference guides —
not computed outputs.
Overview of the case studies
| Case Study | System | Region | Period | Focus |
|---|---|---|---|---|
| 1. Pediatric Respiratory | SIM-DO | SP, RJ, MG | 2018–2022 | ARI < 5 years + temperature |
| 2. Dengue and Climate | SINAN-DENGUE | CE, PE, BA, MA | 2015–2022 | Precipitation + incidence |
| 3. Cardiovascular and Heat | SIM-DO | SP | 2016–2023 | Older adults 65+ + heatwaves |
| 4. Hospitalizations and Cold | SIH | RS, SC, PR | 2014–2022 | Cold waves + pneumonia |
Access the case studies
Pediatric Respiratory Mortality
SIM-DO + INMET pipeline to investigate the association between minimum temperature and deaths from acute respiratory infections in children under 5 years old in the Southeast (2018–2022).
SIM-DODengue, Precipitation, and Temperature
SINAN-DENGUE + INMET pipeline to analyze how temperature and precipitation modulate the weekly incidence of dengue in the four most affected states in the Northeast (2015–2022).
SINANCardiovascular Mortality and Heatwaves
SIM-DO + INMET + heatwave detection (WHO/WMO) pipeline to quantify excess cardiovascular mortality among older adults (65+) in São Paulo (2016–2023).
SIM-DORespiratory Hospitalizations and Cold Waves
SIH + INMET + cold wave detection (WHO/INMET) pipeline to estimate excess hospitalizations from respiratory diseases in the South Region during extreme cold episodes (2014–2022).
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