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Systematic review of occupational hazards at postharvest grain operations.
Bellochio, Sabrina Dalla Corte; Coradi, Paulo Carteri.
Affiliation
  • Bellochio SDC; Department of Agricultural Engineering, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
  • Coradi PC; Department of Agricultural Engineering, Campus Cachoeira do Sul, Federal University of Santa Maria, Santa Maria, RS, Brazil paulocoradi@yahoo.com.br.
Inj Prev ; 28(2): 165-174, 2022 04.
Article in En | MEDLINE | ID: mdl-34656989
INTRODUCTION: Agriculture stands out in relation to the high number of occupational incidents and diseases. In this sense, grains postharvest operations, such as receiving, precleaning, drying, storage and shipping the grains, are highlighted in the number of injuries and fatalities. AIM: To identify and extract qualitative and quantitative data related to the main occupational hazards present in grains postharvest operations at preprocessing and storage facilities. METHODS: A systematic review was carried out in the databases of Science Direct, Scopus and Web of Science for papers published between 1980 and 2019. The abstract should have described a study related to any occupational hazard (physical, chemical, biological, ergonomic and mechanical) and at least one of the occupational hazards should be related to any postharvest operations. RESULTS AND DISCUSSIONS: In total, 42% of 38 analysed papers were published between 2015 and 2019. Three journals were responsible for 45% of publications related to occupational hazards present in grains postharvest operations. The most part of analysed publications related to confined spaces, grain entrapment, machine entanglement and falls hazards are related to Purdue University's Agricultural Safety and Health Program which applied research in occupational safety at grains postharvest. CONCLUSIONS: The creation of standardised internationals can collaborate to reduce occupational risks in grain storage units. It is suggested the development of monitoring technologies to obtain real-time information on noise, dust, gases and heat in postharvest operations and equipment. The use of intelligent algorithms can create prevention mechanisms for possible occupational risks and avoid injuries to employees.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Occupational / Occupational Health Type of study: Qualitative_research / Systematic_reviews Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Inj Prev Journal subject: PEDIATRIA / TRAUMATOLOGIA Year: 2022 Document type: Article Affiliation country: Brazil Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Occupational / Occupational Health Type of study: Qualitative_research / Systematic_reviews Aspects: Determinantes_sociais_saude Limits: Humans Language: En Journal: Inj Prev Journal subject: PEDIATRIA / TRAUMATOLOGIA Year: 2022 Document type: Article Affiliation country: Brazil Country of publication: United kingdom