Planting of sugar cane and its impact on the respiratory health of residents in the northwest of the state of São Paulo
INTRODUCTION: The State of São Paulo is the largest producer of sugarcane among the other states of the country, reaching an area of 5,768,184 hectares (ha) planted in 2013 Several recent studies developed in Brazil point to. negative impacts on human health in the process of picking through the burning of cane sugar impacts. In 2007, the Protocol of Cooperation (Green Ethanol Protocol) was signed between the sugar and alcohol sector and the state government seeking to advance the goals of reducing the burning of cane sugar by the process of mechanical harvesting. Given this scenario, it is necessary to analyze the impacts to human health in this period of implementation of sustainable practices. OBJECTIVE: This study aims to evaluate the impact of sugarcane production, after signing the Protocol Ethanol Green (2007), in some municipalities in the northwest region by analyzing the evolution of methods of harvesting cane sugar, on diseases the respiratory system. METHODOLOGY:. The study area was defined by spatial analysis using ArcGIS 10.1 software to create shapefile incidence of hospitalizations for respiratory diseases by county and calculated the Local Moran Index, allowing the identification of municipalities with higher incidences and forming spatial clusters (clusters). Secondary data on admissions for respiratory diseases were consolidated in all counties of the State of São Paulo between 2008 and 2012, taking into account the driest month of the year (July) for composition of incidence. Concomitantly, the relevant socioeconomic and physical aspects were characterized in the study area. Then, the spatial distribution analysis of methods of harvesting sugar cane in 25 selected municipalities was performed and risk variables associated with the spatial distribution of harvest were defined and potentiate the impact on the respiratory health of the population, taking into consideration the decree 47.700, SMA - SAA - 004/08 and other references. From the data collected, correlations were calculated between the variables (linear regressions and Pearson's correlation, p
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Date de Publication
2015-02-09
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