Descrição:
<p><strong>Dataset Overview</strong></p>
<p>This dataset contains daily municipality-level data on ambient temperature and respiratory mortality for 667 Brazilian municipalities from January 1, 2010 to December 31, 2020, comprising 2,680,006 observations and 1,106,779 respiratory deaths.</p>
<p><strong>Data Sources</strong></p>
<ul>
<li><strong>Mortality:</strong> Brazilian Mortality Information System (SIM/DATASUS), Ministry of Health. Deaths coded as respiratory diseases (ICD-10: J00-J99).</li>
<li><strong>Temperature:</strong> National Institute of Meteorology (INMET), interpolated to municipality centroids using inverse distance weighting.</li>
<li><strong>Population:</strong> Brazilian Institute of Geography and Statistics (IBGE), annual estimates.</li>
</ul>
<p><strong>Inclusion Criteria</strong></p>
<ul>
<li>Population ≥ 50,000 inhabitants</li>
<li>Data completeness ≥ 80% for temperature and mortality</li>
<li>Average ≥ 1 respiratory death per week during the study period</li>
</ul>
<p><strong>Geographic Coverage</strong></p>
<p>667 municipalities across all five Brazilian macroregions: North (44), Northeast (142), Southeast (298), South (128), and Central-West (55).</p>
<p><strong>Main Variables</strong></p>
<ul>
<li>Municipality code (IBGE 6-digit)</li>
<li>Date of observation</li>
<li>Daily respiratory deaths (ICD-10: J00-J99)</li>
<li>Daily mean, minimum, and maximum temperature (°C)</li>
<li>Relative humidity (%)</li>
<li>Daily precipitation (mm)</li>
<li>Annual population estimate</li>
<li>Day of week and national holiday indicator</li>
</ul>
<p><strong>Associated Publication</strong></p>
<p>This dataset supports the manuscript: "The impact of extreme temperatures on respiratory mortality in Brazil: assessing regional adaptations to different thermal environments" submitted to PLOS Climate (2026).</p>
<p><strong>Analytical Methods</strong></p>
<p>Data were analyzed using Distributed Lag Non-linear Models (DLNM) with quasi-Poisson regression at the municipality level, followed by random-effects meta-analysis to obtain pooled national and regional estimates of temperature-mortality associations.</p>
<p><strong>Ethics Statement</strong></p>
<p>This study used aggregated, anonymized secondary data publicly available through DATASUS and IBGE. No individual-level identifiable data were used. According to Brazilian National Health Council Resolution 510/2016, research using publicly available aggregated data is exempt from Research Ethics Committee approval.</p>