Replication data for: temperature and respiratory mortality in Brazil: daily municipality-level dataset (2010-2020)

Coelho, Guilherme; Kassada, Danielle Satie

Use este identificador para citar ou acessar este item: https://doi.org/10.25824/redu/84QZZE

DOI:	https://doi.org/10.25824/redu/84QZZE
Título:	Replication data for: temperature and respiratory mortality in Brazil: daily municipality-level dataset (2010-2020)
Assunto:	Medicine, Health and Life Sciences
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>
Autor(es):	Coelho, Guilherme Kassada, Danielle Satie
URI:	https://doi.org/10.25824/redu/84QZZE https://redu.unicamp.br/dataset.xhtml?amp;persistentId=doi:10.25824/redu/84QZZE
Outros identificadores:
Fomento:	No Funder
Número do Projeto:	0000
Termo de uso:
Data:	4-Fev-2026
Data de Disponibilização:	6-Fev-2026
Formato:	text/tab-separated-values application/x-gzip application/octet-stream text/markdown text/tab-separated-values
Tipo:
Editora / Evento / Instituição:	Coelho, Guilherme
Idioma :
Aparece nas coleções:	Repositório de Dados de Pesquisa da UNICAMP

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