Final_script_ill_defined_cause_death_farm_workers_brazil_2015_2023

This repository contains the code used for the analysis presented in the article "Distribution of Death Records by Original and Final Ill-Defined Cause among Agricultural Workers in Brazil, 2015 to 2023." The study is based on microdata from the Brazilian Mortality Information System (SIM/DATASUS) and investigates the occurrence and reclassification of deaths originally attributed to ill-defined causes among agricultural workers. The code includes data cleaning procedures, descriptive analyses, and logistic regression models to estimate crude and adjusted odds ratios. All scripts are written in R and structured to ensure reproducibility of the results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15863009
Primary Topic
Agriculture and Farm Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Final_script_ill_defined_cause_death_farm_workers_brazil_2015_2023

Zenodo (CERN European Organization for Nuclear Research)
Agriculture and Farm Safety
article

Final_script_ill_defined_cause_death_farm_workers_brazil_2015_2023

article en

Abstract

This repository contains the code used for the analysis presented in the article "Distribution of Death Records by Original and Final Ill-Defined Cause among Agricultural Workers in Brazil, 2015 to 2023." The study is based on microdata from the Brazilian Mortality Information System (SIM/DATASUS) and investigates the occurrence and reclassification of deaths originally attributed to ill-defined causes among agricultural workers. The code includes data cleaning procedures, descriptive analyses, and logistic regression models to estimate crude and adjusted odds ratios. All scripts are written in R and structured to ensure reproducibility of the results.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal da Bahia (BR), Hospital Ana Nery (BR)
Zero hunger
Openalex Percentile: Top 69%
Agriculture and Farm Safety
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