Distribuição espacial de queimadas e mortalidade em idosos em região da Amazônia Brasileira, 2001 – 2012 / Spatial distribution of biomass burning and mortality among the elderly in a Brazilian Amazon region, 2001 – 2012

Resumo As queimadas exercem relevante impacto sobre o ecossistema amazônico na estação seca com as emissões de poluentes atmosféricos. Os efeitos sobre a saúde das populações, principalmente na região do arco do desmatamento, tem sido objeto de recentes estudos. O presente estudo teve como objetivo avaliar a distribuição espacial dos focos de queimadas e da mortalidade por doenças respiratórias e cardiovasculares em idosos, no Estado de Rondônia, no período de 2001 a 2012. Os dados de mortalidade foram obtidos por meio do Sistema de Informação de Mortalidade, do Ministério da Saúde. Dados de focos de queimadas foram disponibilizados pelo Instituto Nacional de Pesquisas Espaciais. Utilizou-se o estimador de Kernel. As maiores taxas de mortalidade foram observadas no centro-leste e sudeste de Rondônia. Os focos de queimadas concentraram-se na porção norte do estado, mas com quantidade relevante em outras regiões. As distribuições espaciais das áreas quentes de taxa de mortalidade e de queimadas não se mostraram diretamente associadas. Entretanto, as queimadas foram observadas em todos os municípios do estado. Os poluentes emitidos na queima podem ser transportados por milhares de quilômetros das áreas de origem e influenciar a saúde de idosos.

Abstract The burning of biomass has a significant impact on the Amazon ecosystem in the dry season due to the emissions of air pollutants. The effects on the health of the population, especially in the region of the arc of deforestation, has been the subject of recent studies. The scope of this study was to evaluate the spatial distribution of biomass burning and mortality from respiratory and cardiovascular diseases among the elderly in the state of Rondônia in the period from 2001 to 2012. Mortality data were obtained through the Mortality Information System of the Ministry of Health. Biomass burning data were provided by the National Institute for Space Research. The Kernel estimator was used. The highest mortality rates were observed in the central-east and south-east of Rondônia. The focuses of the fires were concentrated in the northern part of the state, though with a significant amount in other regions. The spatial distribution of the hot areas of mortality and fires were not directly associated. However, fires were observed in all municipalities in the state. Pollutants emitted from biomass burning can be transported thousands of kilometers from the source areas and influence the health of the elderly.

Aerosols from biomass burning and respiratory diseases in children, Manaus, Northern Brazil.

OBJECTIVE: To investigate the effects of fine particulate matter emitted through biomass burning on hospitalizations for respiratory diseases in children living in Manaus, Northern Brazil. METHODS: Descriptive study with ecologic time series design carried out in Manaus from 2002 to 2009. Hospital admission data were obtained from the Unified Health System database. PM2.5 levels were estimated using aerosol remote sensing through the measurement of aerosol optical depth at a wavelength of 550 nm. Statistical methods were used in the data analysis, with Pearson correlation and multiple linear regression between variables, with a 95% confidence interval. RESULTS: The region of Manaus showed low PM2.5 concentrations when compared to the Southern Amazonian region. Between August and November (dry period in the region), was when the highest mean levels of PM2.5, estimated between 18 to 23 µg/m3, and the largest number of fires were observed. For the rainy season, an average of 12 µg/m3, 66% lower than the dry season measurements (20.6 µg/m3) was observed. The highest rates of hospitalization were observed during the rainy season and April was the month with the highest levels at 2.51/1,000 children. A positive association between hospital admissions and relative humidity (R = 0.126; p-value = 0.005) was observed, while the association between admissions and PM2.5 was negative and statistically significant (R = -0.168; p-value = 0.003). The R 2 of the final model (Hospitalizations = 2.19*Humidity - 1.60*PM2.5 - 0.23*Precipitation) explained 84% of hospitalizations due to respiratory disease in children living in Manaus, considering the independent variables statistically significant (humidity, PM2.5, and precipitation). CONCLUSIONS: Hospital admissions for respiratory diseases in children in Manaus, were more related to weather conditions and in particular relative humidity, than to exposure to aerosols emitted by biomass burning in the Amazonian region.

Aerossois de queimadas e doencas respiratorias em criancas, Manaus, Brasil / Aerosols from biomass burning and respiratory diseases in children, Manaus, Northern Brazil

OBJETIVO: Analisar a relação entre a exposição ao material particulado fino emitido em queimadas e as internações hospitalares por doenças respiratórias em crianças. MÉTODOS: Estudo descritivo com delineamento ecológico de séries temporais realizado em Manaus de 2002 a 2009. Os dados de internações hospitalares foram obtidos a partir do banco de dados do Sistema Único de Saúde. Os níveis de PM2.5 foram estimados por sensoriamento remoto a partir da espessura ótica de aerossóis no comprimento de onda de 550 nm. Foram utilizadas a correlação de Pearson e a regressão linear múltipla entre as variáveis com intervalo de 95% de confiança. RESULTADOS: A região de Manaus apresentou baixas concentrações de PM2.5, quando comparada com a porção sul da região Amazônica. Os meses de agosto a novembro (período seco) apresentaram os maiores níveis médios de PM2.5 (de 18 a 23 µg/m³) e os maiores números de focos de queimadas detectados. A média do PM2.5 para a estação chuvosa foi de 12 µg/m³, 66% menor que a média da estação seca, 20,6 µg/m³. As maiores taxas de internações ocorreram durante a estação chuvosa, e o mês de abril teve a maior taxa, com 2,51/1.000 crianças. Foi observada associação positiva significativa entre as internações e a umidade relativa (R = 0,126; p = 0,005), enquanto a associação entre internações com PM2.5 mostrou-se negativa e estatisticamente significativa (R = - 0,168; p = 0,003). O R² do modelo final (Internações = 2,19*Umidade - 1,60*PM2.5 - 0,23*Precipitação) explicou em 84% as internações por doenças respiratórias em ...

OBJECTIVE To investigate the effects of fine particulate matter emitted through biomass burning on hospitalizations for respiratory diseases in children living in Manaus, Northern Brazil. METHODS Descriptive study with ecologic time series design carried out in Manaus from 2002 to 2009. Hospital admission data were obtained from the Unified Health System database. PM2.5 levels were estimated using aerosol remote sensing through the measurement of aerosol optical depth at a wavelength of 550 nm. Statistical methods were used in the data analysis, with Pearson correlation and multiple linear regression between variables, with a 95% confidence interval. RESULTS The region of Manaus showed low PM2.5 concentrations when compared to the Southern Amazonian region. Between August and November (dry period in the region), was when the highest mean levels of PM2.5, estimated between 18 to 23 µg/m3, and the largest number of fires were observed. For the rainy season, an average of 12 µg/m3, 66% lower than the dry season measurements (20.6 µg/m3) was observed. The highest rates of hospitalization were observed during the rainy season and April was the month with the highest levels at 2.51/1,000 children. A positive association between hospital admissions and relative humidity (R = 0.126; p-value = 0.005) was observed, while the association between admissions and PM2.5 was negative and statistically significant (R = -0.168; p-value = 0.003). The R 2 of the final model (Hospitalizations = 2.19*Humidity - 1.60*PM2.5 - 0.23*Precipitation) explained 84% of hospitalizations due to respiratory disease in children living in Manaus, considering the independent variables statistically significant (humidity, PM2.5, and precipitation). CONCLUSIONS Hospital admissions for respiratory diseases in children in Manaus, were more related to weather conditions and in ...