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[Spatial distribution of occupational disease prevalence in Guangzhou and Foshan city by geographic information system].
Tan, Q; Tu, H W; Gu, C H; Li, X D; Li, R Z; Wang, M; Chen, S G; Cheng, Y J; Liu, Y M.
Afiliação
  • Tan Q; Foshan Institute of Occupational Disease Prevention and Control. Foshan Guangdong 528000. China.
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi ; 35(11): 854-857, 2017 Nov 20.
Article em Zh | MEDLINE | ID: mdl-29316761
ABSTRACT

Objective:

To explore the occupational disease spatial distribution characteristics in Guangzhou and Foshan city in 2006-2013 with Geographic Information System and to provide evidence for making control strategy.

Methods:

The data on occupational disease diagnosis in Guangzhou and Foshan city from 2006 through 2013 were collected and linked to the digital map at administrative county level with Arc GIS12.0 software for spatial analysis.

Results:

The maps of occupational disease and Moran's spatial autocor-relation analysis showed that the spatial aggregation existed in Shunde and Nanhai region with Moran's index 1.727, -0.003. Local Moran's I spatial autocorrelation analysis pointed out the "positive high incidence re-gion" and the "negative high incidence region" during 2006~2013. Trend analysis showed that the diagnosis case increased slightly then declined from west to east, increase obviously from north to south, declined from? southwest to northeast, high in the middle and low on both sides in northwest-southeast direction.

Conclusions:

The occupational disease is obviously geographical distribution in Guangzhou and Foshan city. The corresponding prevention measures should be made according to the geographical distribution.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação Geográfica / Análise Espacial / Doenças Profissionais Tipo de estudo: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação Geográfica / Análise Espacial / Doenças Profissionais Tipo de estudo: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article