TY - JOUR
T1 - Distribución espacial de los accidentes y enfermedades relacionados con el trabajo en el Perú, 2012-2014
AU - Hernández-Vásquez, Akram
AU - Díaz-Seijas, Deysi
AU - Vilcarromero, Stalin
AU - Santero, Marilina
N1 - Publisher Copyright:
© 2016, Instituto Nacional de Salud. All Rights Reserved.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Accidents
KW - Geographic information systems
KW - Occupational
KW - Occupational diseases
KW - Occupational health
UR - http://www.scopus.com/inward/record.url?scp=84964284550&partnerID=8YFLogxK
U2 - 10.17843/rpmesp.2016.331.2013
DO - 10.17843/rpmesp.2016.331.2013
M3 - Artículo
C2 - 27384629
AN - SCOPUS:84964284550
SN - 1726-4634
VL - 33
SP - 106
EP - 112
JO - Revista Peruana de Medicina Experimental y Salud Publica
JF - Revista Peruana de Medicina Experimental y Salud Publica
IS - 1
ER -