Análise espacial e determinação de áreas para o controle da malária no Estado de Rondônia

Abstract

RESUMOEste trabalho discute o uso de análise espacial para confecção de mapas de risco para malária no Estado de Rondônia, entre 1994 e 2005. Para análise do padrão espacial, foram utilizados os índices de Moran global e local. Com base nos valores do Índice Parasitário Anual, pode-se afirmar que os municípios que constituem a área de maior risco são os de urbanização mais recente, caracterizados por: maior crescimento populacional, maior número de famílias assentadas e elevado percentual de área desmatada. O Moran Map mostrou que os agregados de municípios com maior risco para malária sofreram processo de espalhamento para a região noroeste e nordeste do estado. Já nos municípios considerados como de menor risco, o processo se deu em direção ao sudeste. As técnicas utilizadas em nosso estudo merecem ser comparadas com a atual metodologia utilizada pela Secretaria de Vigilância Sanitária na determinação de áreas de risco e repasse financeiro para controle da malária.Palavras-chaves: Epidemiologia. Geoprocessamento. Análise espacial. Malária.Malária. ABSTRACTThis paper discusses the use of spatial analysis for mapping the risk of malaria in the State of Rondônia between 1994 and 2005. Moran's overall and local indices were used for spatial pattern analysis. Based on the Annual Parasitic Index, it can be stated that the municipalities forming the area at greater risk are those in which the urbanization process is more recent. They are characterized by higher population growth, greater number of settled families and high percentages of deforested area. The Moran map showed that the aggregated areas of municipalities at high risk of malaria have undergone a process of spreading into the northwestern and northeastern regions of the State. Among the municipalities considered to be at low risk, this process has taken place towards the southeast. The techniques used in this study deserve to be compared with the current methodology used by the Health Surveillance Department for determining areas at risk and financial transfers for malaria control..

Geographic information systems and logistic regression for high-resolution malaria risk mapping in a rural settlement of the southern Brazilian Amazon

“…As reported by Rodrigues [40], the present study gives further evidence that GIS and logistic regression can be successfully applied for further local-scale zoning of high-risk areas. Greater likelihood of contracting malaria are significantly linked to areas close to gold mining sites [41], which present intense land use and occupation, high level in the VSHI and low NDVI values.…”

Severe Plasmodium vivax malaria exhibits marked inflammatory imbalance

“…Within this region, malaria transmission is unstable, with increased number of cases being detected annually between April to September, and the risk of infection is high [23], with an Annual Parasite Incidence of 77.5 per 1,000 inhabitants in 2005 [3]. The prevalence of P. falciparum infection in the Brazilian Amazon is 23.7% [3], and Plasmodium malariae case detection reaches 10% in Rondônia [24].…”

Hepatitis B Infection Is Associated with Asymptomatic Malaria in the Brazilian Amazon

“…In this region, most malaria cases occur between April and September, with a high risk of infection [6], [7]. Rondônia accounts for 19% of malaria cases in the Brazilian Amazon (112,165 symptomatic cases in 2005), with an estimated prevalence of 8% [8].…”