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

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Coelho, Guilherme; Kassada, Danielle Satie, 2026, "Replication data for: temperature and respiratory mortality in Brazil: daily municipality-level dataset (2010-2020)", https://doi.org/10.25824/redu/84QZZE, Repositório de Dados de Pesquisa da Unicamp , V1, UNF:6:E35BGEk+VimJ/oESX+RjoQ== [fileUNF]
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Description

Dataset Overview

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.

Data Sources

  • Mortality: Brazilian Mortality Information System (SIM/DATASUS), Ministry of Health. Deaths coded as respiratory diseases (ICD-10: J00-J99).
  • Temperature: National Institute of Meteorology (INMET), interpolated to municipality centroids using inverse distance weighting.
  • Population: Brazilian Institute of Geography and Statistics (IBGE), annual estimates.

Inclusion Criteria

  • Population ≥ 50,000 inhabitants
  • Data completeness ≥ 80% for temperature and mortality
  • Average ≥ 1 respiratory death per week during the study period

Geographic Coverage

667 municipalities across all five Brazilian macroregions: North (44), Northeast (142), Southeast (298), South (128), and Central-West (55).

Main Variables

  • Municipality code (IBGE 6-digit)
  • Date of observation
  • Daily respiratory deaths (ICD-10: J00-J99)
  • Daily mean, minimum, and maximum temperature (°C)
  • Relative humidity (%)
  • Daily precipitation (mm)
  • Annual population estimate
  • Day of week and national holiday indicator

Associated Publication

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).

Analytical Methods

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.

Ethics Statement

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.

Subject Medicine, Health and Life Sciences
Keyword Mortality, Temperature, Extreme heat, Thermal environment, Mortality, Respiratory diseases, Respiratory mortality, Distributed lag non-linear model, Time series, Meta-analysis
License/Data Use Agreement

CC BY-NC 4.0

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dataset_temperature_mortality_brazil_2010_2020.csv.gz
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dataset_temperature_mortality_brazil_2010_2020.parquet
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12 Variables, 667 Observations UNF:6:kHNnnOXVLTot0NyiaHa3Qg==
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