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・ Spatial data file
・ Spatial data infrastructure
・ Spatial Data Transfer Standard
・ Spatial database
・ Spatial decision support system
・ Spatial dependence
・ Spatial descriptive statistics
・ Spatial design
・ Spatial Development in Cameroon
・ Spatial disorientation
・ Spatial distribution
・ Spatial ecology
・ Spatial econometrics
・ Spatial Economic Analysis
・ Spatial empathy
Spatial epidemiology
・ Spatial ETL
・ Spatial file manager
・ Spatial filter
・ Spatial frequency
・ Spatial hearing loss
・ Spatial heterogeneity
・ Spatial icon
・ Spatial Imaging Group
・ Spatial inequality
・ Spatial intelligence
・ Spatial intelligence (business method)
・ Spatial intelligence (psychology)
・ Spatial interaction model
・ Spatial justice


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Spatial epidemiology : ウィキペディア英語版
Spatial epidemiology
Spatial epidemiology is a subfield of health geography focused on the study of the spatial distribution of health outcomes.
Specifically, spatial epidemiology is concerned with the description and examination of disease and its geographic variations. This is done in consideration of “demographic, environmental, behavioral, socioeconomic, genetic, and infections risk factors."
==Types of studies==
;Disease Mapping:
* Disease maps are visual representations of intricate geographic data that provide a quick overview of said information. Mainly used for explanatory purposes, disease maps can be presented to survey high-risk areas and to help policy and resource allocation in said areas.
;Geographic correlation studies
* Geographic correlation studies attempt to study the geographical factors and their effects on geographically differentiated health outcomes. Measured on an ecologic scale, these factors include environmental variables (quality of surrounding space), socioeconomic and demographic statistics (income and race), or even lifestyle choices (nutrition or diet) of the population groups under study. This approach has the convenience of being able to employ already available data from various surveying sources.
;Clustering, disease clusters, and surveillance.
* Disease clusters, or spatial groupings of proximity and characteristically related epidemics. While the term itself is relatively poorly defined, it generally “implies an excess of cases above some background rate bounded in time and space.” Although clustering is not the most precise method for spatial analysis, it can and has proved useful for health-related surveillance and monitoring.
Because the statistical models used to draw up such research are complex, the data analysis and the interpretation of results should be carried out by qualified statisticians. Sometimes, the proliferation of errors in disease mapping has led to inefficient decision-making, implementation of inappropriate health policies and negative impact on the advancement of scientific knowledge.〔Ocaña-Riola R (2010) Common errors in disease mapping. ''Geospatial Health'' 4(2): 139–154. Free download: http://www.ncbi.nlm.nih.gov/pubmed/20503184〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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