Análise espacial da exposição humana aos agrotóxicos e a mortalidade por câncer na microrregião Sul do estado de Mato Grosso, Brasil
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Data
2019-09-13
Autores
Pimentel, Cauê Felipe
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Universidade Federal de Mato Grosso
Resumo
The use of pesticides represents a major public health problem in developing countries,
especially those with economies based on agribusiness such as Brazil. It is inherent the
possibility of presence in the environment in general, exposing humans to direct and indirect
contact with these substances, which through the conceptual model of risk, it is possible to
establish the correlation between agricultural production, human exposure to pesticides and
cancer. This study aimed to perform the spatial analysis of human exposure to pesticides and
to establish a correlation with cancer mortality in the Mato Grosso southern micro region. This
is an ecological, cross-sectional epidemiological study through spatial analysis of indicators of
agricultural productivity (percentage of planted area by soybean, corn and cotton) and the
correlation with health indicators (mortality and cancer mortality rate) and socioeconomic
(Population Density, HDI and Gini Index) from 2006 to 2016. In the spatial analysis an
exploratory analysis was performed to characterize the distribution of cancer mortality in the
study micro region. Next spatial statistical techniques, spatial autocorrelation, Geary C
statistics, Moran Index and Local Indicators of Spacial Association (LISA), Global Moral
Index, and Moran scattering diagram were used. To verify the best explanatory model of
variables association, four regression models were applied: the classical regression model, the
autoregressive spatial model, the spatial error model and the Durbin spatial model, using
Akaike’s information criterion to select the model that best fits the data adjustment. The
analyzes were performed using the R statistical software. The results showed the highest
significance in the Spearman correlation test at 5% for the percentage of cotton planted area,
followed by the percentage area planted by soybean as a function of cancer mortality. Spatial
regression analysis allowed a statistically significant correlation between the agricultural
productivity variable (percentage of soybean planted area) and the socioeconomic variable
(population density) with cancer mortality in the micro region under study. Therefore, the use
of epidemiology and spatial statistics contributes to the establishment of the correlation between
the environment and exposure to pesticides and provides useful information in environmental
management combined with the processes of producing a green economy and in the health
management and surveillance process.
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PIMENTEL, Cauê Felipe. Análise espacial da exposição humana aos agrotóxicos e a mortalidade por câncer na microrregião Sul do estado de Mato Grosso, Brasil. 2019. 78 f. Dissertação (Mestrado em Gestão e Tecnologia Ambiental) - Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Tecnológicas, Rondonópolis, 2019.