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Publicação
A modelação geoestatística e os Sistemas de Informação Geográfica : uma abordagem exploratória aplicada em Saúde Pública
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Resumo(s)
In this study a data driven approach based on exploratory spatial data analysis is used
with geographic information technologies in order to formulate hypothesis about effects
of particulate matter concentration (PM10) on child respiratory diseases and allergies. In
order to integrate the spatial data in a common environment and to correlate the
studied variables, a geographical referenced database was created for every variable
with a Geographic Information Systems (GIS) tool with capabilities to store, manage
and perform spatial modelling considering one or more variables. An exploratory spatial
data analysis based on graphical methods and user interaction for analysis of spatial
structures was conducted for both environmental and health variables and
geostatistical modelling was performed to build child respiratory diseases and allergies
and air pollution concentration, uncertainty and local correlation maps.
Given the scarcity of data and the spatial location of both variables, a co-regionalization
model was not possible to be driven from the previous analysis. Hence a stochastic
spatial simulation was conducted independently for each variable. PM10 concentrations
were related to child respiratory diseases and allergies incidence by local correlation
coefficients obtained with simulated realizations of air pollution and health data. In the
last step, local correlation maps associated to critical values were obtained.
Descrição
Palavras-chave
Environment Geostatistcs Health GIS