与巴西亚马孙大都会地区皮肤利什曼病病例相关的土地利用和土地覆盖类型

Jéssica Ariana de Jesus Corrêa, Danielly Caroline Miléo Gonçalves, Silvia Cristina De Pádua Andrade, Julio Tota da Silva
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引用次数: 0

摘要

面对亚马逊地区的人类活动变化,确定皮肤利什曼病(CL)的可能感染地点有助于了解该疾病的分布情况,从而采取控制措施。本研究的目的是根据 2012 年和 2014 年皮肤利什曼病病例的发生情况,确定因圣塔伦大区土地利用和土地覆盖变化而产生的景观类型。景观类型是根据 TerraClass 项目数据,使用 1 平方公里的常规单元绘制的。景观存在性和优势度量指标用于生成具有单一类别的单元格和具有多个类别的单元格(称为镶嵌)。对于利什曼病病例,指标是疾病的存在。关联分析从 2x2 或然率表中提取。在分析的两个年份中,原始森林类型(PP04)的单元格数量最多。然而,土地利用和土地覆被的变化体现在农业(PP11 和 PP12)、城市化地区(PP03 和 PP10)和牧场(PP13)的单元格数量增加。每年至少有一例 CL 出现在 10 个类型中,尤其是在城市化地区、牧场和次生植被的组合中。农业类类型虽然细胞数量有所增加,但在疾病出现方面并没有遵循相同的生长逻辑。这项研究有助于确定 CL 的发生地和特征,并为卫生监督机构提供更多信息。
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TYPOLOGIES OF LAND USE AND LAND COVER ASSOCIATED WITH CASES OF CUTANEOUS LEISHMANIASIS IN A METROPOLITAN REGION IN THE BRAZILIAN AMAZON
Characterizing the probable site of infection of cutaneous leishmaniasis (CL) in face of anthropic changes in the Amazon makes it possible to understand the distribution of this disease in order to adopt control measures. The objective of this study is to identify landscape typologies resulting from changes in land use and land cover in the Metropolitan Region of Santarém regarding the occurrence of CL cases in 2012 and 2014. Landscape typologies were developed from TerraClass project data using regular 1 km² cells. Landscape presence and dominance metrics were used to generate cells with a single class and cells with more than one class, called mosaics. For cases of leishmaniasis, the metric was the presence of the disease. Association analyses were extracted from a 2x2 contingency table. The primary forest typology (PP04) had the highest number of cells in both years analyzed. However, changes in land use and land cover were evidenced by the growth in the number of cells with mosaics of agriculture (PP11 and PP12), urbanized areas (PP03 and PP10), and pastures (PP13). The presence of at least one case of CL in each year occurred in ten typologies, particularly in compositions with urbanized areas, pastures, and secondary vegetation. Typologies with the agriculture class, although the number of cells increased, did not follow the same growth logic regarding the presence of the disease. This study makes it possible to identify and characterize the places where CL occurs and provides further information for health surveillance agencies
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