Distribución espacial de los accidentes y enfermedades relacionados con el trabajo en el Perú, 2012-2014 / Spatial distribution of accidents, incidents and diseases related to work in Peru, 2012-2014

RESUMEN

Se analizaron geoespacialmente los accidentes, incidentes peligrosos y enfermedades ocupacionales que se reportaron a nivel regional en el Perú (2012-2014). 52 887 eventos se notificaron entre accidentes de trabajo (93%), incidentes peligrosos (5,1%), enfermedades ocupacionales (1%) y accidentes mortales (0,9%). Se evidenciaron altas tasas de accidentes mortales en Pasco, Callao, Lima, Moquegua y Arequipa. Callao y Lima son las regiones con tasas más altas de accidentes de trabajo. Las mayores tasas de incidentes peligrosos se reportaron en Arequipa, Callao, Lima, Ica y Piura. Las enfermedades ocupacionales se distribuyeron con altas tasas en Huancavelica, Ancash, Pasco, Callao y Cusco. La explotación de minas y canteras (49,2%); seguida por la industria manufacturera (23,4%); y, la construcción (8%) son las actividades económicas que concentraron elevadas tasas de enfermedades ocupacionales. Se concluye que existen altas tasas y patrones espaciales comunes de accidentabilidad en el Perú que pueden servir para enfocar intervenciones...

ABSTRACT

We analyzed geospatially accidents, incidents and diseases related to work of regional reports in Peru (2012-2014). The 52887 events were classified as work related accidents (93%), dangerous incidents (5.1%), occupational diseases (1%) and fatal accidents (0.9%). The highest rates of fatal accidents were reported in Pasco, Callao, Lima, Moquegua and Arequipa. Callao and Lima are the regions with the highest rates of occupational accidents. The highest rates of dangerous incidents were reported in Arequipa, Callao, Lima, Ica and Piura. Occupational diseases are distributed with high rates in Huancavelica, Ancash, Pasco, Callao and Cusco. The economic activities that reported most of the occupational diseases were mining and quarrying (49.2%); followed by manufacturing industry (23.4%); and construction (8%). It is concluded that there are high rates and common spatial patterns of laboral accidents in Peru that could be used by decision makers to focus interventions...