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Identification of victims of the collapse of a mine tailing dam in Brumadinho

The collapse of the B1 Dam of VALE SA mining company in Brumadinho, Minas Gerais, Brazil was the largest humanitarian disaster and occupational accident in the country’s history, and it posed challenges regarding the management and identification of multiple victims. We evaluated the impact of the i...

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Autores principales: Moreira Araújo, Ricardo, Vieira Lemos, Yara, Dias do Nascimento, Erlon, Silva Paraizo, Anna Helena, Wainstein, Alberto Julius Alves, Drummond-Lage, Ana Paula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930756/
https://www.ncbi.nlm.nih.gov/pubmed/36817257
http://dx.doi.org/10.1080/20961790.2022.2113623
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author Moreira Araújo, Ricardo
Vieira Lemos, Yara
Dias do Nascimento, Erlon
Silva Paraizo, Anna Helena
Wainstein, Alberto Julius Alves
Drummond-Lage, Ana Paula
author_facet Moreira Araújo, Ricardo
Vieira Lemos, Yara
Dias do Nascimento, Erlon
Silva Paraizo, Anna Helena
Wainstein, Alberto Julius Alves
Drummond-Lage, Ana Paula
author_sort Moreira Araújo, Ricardo
collection PubMed
description The collapse of the B1 Dam of VALE SA mining company in Brumadinho, Minas Gerais, Brazil was the largest humanitarian disaster and occupational accident in the country’s history, and it posed challenges regarding the management and identification of multiple victims. We evaluated the impact of the iron ore tailings on the victims’ bodies. We examined the scientific identification of the victims and the dynamics of the disaster over the 1st year after it occurred. We also determined the socio-demographic profiles of the victims. In this retrospective, cross-sectional study, we investigated the expert reports of the victims’ biological remains from 25 January 2019 to 25 January 2020. We analysed the socio-demographic data, identification methods, identification status, identification time, and necroscopic information. During the study period, 259 of 270 victims were identified, and 603 biological materials were analysed; among them, 86.2% were body parts and 13.8% were whole bodies. Of the total cases registered that year, 476 (78.9%) were submitted during the first 10 weeks after the disaster. Friction ridge analysis accounted for 67.9% of primary identifications and DNA analysis did so for 91.6% of re-identification cases. Body dismemberment was 3.4 times greater among mine workers than among community victims. Adult males accounted for the greatest number of victims (P < 0.001). Polytraumatic injury was the prevalent single cause of death. Necropsy examination revealed the occurrence of asphyxia in 7% of cases. The higher number of fatalities and greater dismemberment among employees than with community residents underlines the occupational dangers in the mining industry and clarifies the dynamics of the disaster. In the initial weeks after the dam collapsed, friction ridge analysis was the most appropriate method for identification. Subsequently, DNA analysis became the most-used technique for identification and re-identification owing to the great volume of body parts and decomposed biological tissue. Autopsy allowed diagnosis of the causes of death to be clarified according to the Brazilian criminal legal system.
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spelling pubmed-99307562023-02-16 Identification of victims of the collapse of a mine tailing dam in Brumadinho Moreira Araújo, Ricardo Vieira Lemos, Yara Dias do Nascimento, Erlon Silva Paraizo, Anna Helena Wainstein, Alberto Julius Alves Drummond-Lage, Ana Paula Forensic Sci Res Research Articles The collapse of the B1 Dam of VALE SA mining company in Brumadinho, Minas Gerais, Brazil was the largest humanitarian disaster and occupational accident in the country’s history, and it posed challenges regarding the management and identification of multiple victims. We evaluated the impact of the iron ore tailings on the victims’ bodies. We examined the scientific identification of the victims and the dynamics of the disaster over the 1st year after it occurred. We also determined the socio-demographic profiles of the victims. In this retrospective, cross-sectional study, we investigated the expert reports of the victims’ biological remains from 25 January 2019 to 25 January 2020. We analysed the socio-demographic data, identification methods, identification status, identification time, and necroscopic information. During the study period, 259 of 270 victims were identified, and 603 biological materials were analysed; among them, 86.2% were body parts and 13.8% were whole bodies. Of the total cases registered that year, 476 (78.9%) were submitted during the first 10 weeks after the disaster. Friction ridge analysis accounted for 67.9% of primary identifications and DNA analysis did so for 91.6% of re-identification cases. Body dismemberment was 3.4 times greater among mine workers than among community victims. Adult males accounted for the greatest number of victims (P < 0.001). Polytraumatic injury was the prevalent single cause of death. Necropsy examination revealed the occurrence of asphyxia in 7% of cases. The higher number of fatalities and greater dismemberment among employees than with community residents underlines the occupational dangers in the mining industry and clarifies the dynamics of the disaster. In the initial weeks after the dam collapsed, friction ridge analysis was the most appropriate method for identification. Subsequently, DNA analysis became the most-used technique for identification and re-identification owing to the great volume of body parts and decomposed biological tissue. Autopsy allowed diagnosis of the causes of death to be clarified according to the Brazilian criminal legal system. Taylor & Francis 2023-02-12 /pmc/articles/PMC9930756/ /pubmed/36817257 http://dx.doi.org/10.1080/20961790.2022.2113623 Text en © 2023 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Moreira Araújo, Ricardo
Vieira Lemos, Yara
Dias do Nascimento, Erlon
Silva Paraizo, Anna Helena
Wainstein, Alberto Julius Alves
Drummond-Lage, Ana Paula
Identification of victims of the collapse of a mine tailing dam in Brumadinho
title Identification of victims of the collapse of a mine tailing dam in Brumadinho
title_full Identification of victims of the collapse of a mine tailing dam in Brumadinho
title_fullStr Identification of victims of the collapse of a mine tailing dam in Brumadinho
title_full_unstemmed Identification of victims of the collapse of a mine tailing dam in Brumadinho
title_short Identification of victims of the collapse of a mine tailing dam in Brumadinho
title_sort identification of victims of the collapse of a mine tailing dam in brumadinho
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930756/
https://www.ncbi.nlm.nih.gov/pubmed/36817257
http://dx.doi.org/10.1080/20961790.2022.2113623
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