Spatial autocorrelation and its application in public health field
10.3760/cma.j.cn121094-20190507-00183
- VernacularTitle:空间自相关方法及其在公共卫生领域的应用
- Author:
Jinmei SHI
1
;
Junqin ZHAO
;
Jianguo LI
Author Information
1. 050017 石家庄，河北医科大学
- Keywords:
Occupational diseases;
Communicable diseases;
Chronic disease;
Public health;
Spatial autocorrelation analysis;
Spatial weight matrices
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2020;38(5):395-400
- CountryChina
- Language:Chinese
-
Abstract:
The prevalence and distribution of infectious diseases and occupational diseases in specific time and space is the result of the interaction between natural environment, social economy and other factors, its distribution pattern has spatial properties. Based on the assumption of independence, the traditional statistical methods ignore the spatial attributes of diseases and cannot analyze the spatial characteristics of diseases. On the basis of geographic information system, the spatial autocorrelation analysis can simultaneously analyze the spatial relationship and attribute value of diseases, explore the spatial dependence of disease data in different spatial units, and provide decision-making basis for the prediction and early warning of diseases such as occupational and infectious diseases, and the formulation and evaluation of prevention and control measures.
