PDF(Sci-hub)
Abstract：
The prevention and control of mosquito-borne diseases, such as malaria, are important health issues in tropical areas. Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. Synthetic aperture radar (SAR) is well-adapted to tropical areas, since it is capable of imaging independent of light and weather conditions. In this study, we highlight the contribution of SAR sensors in the assessment of the relationship between vectors, malaria and the environment in the Amazon region. More specifically, we focus on the SAR-based characterization of potential breeding sites of mosquito larvae, such as man-made water collections and natural wetlands, providing guidelines for the use of SAR capabilities and techniques in order to optimize vector control and malaria surveillance. In light of these guidelines, we propose a framework for the production of spatialized indicators and malaria risk maps based on the combination of SAR, entomological and epidemiological data to support malaria risk prevention and control actions in the field.
摘要：
预防和控制蚊媒疾病,比如疟疾，是热带地区重要的健康问题。疟疾传播是一个多尺度的过程,受环境因素的强烈控制,遥感数据的使用适合于表征其时空动态。合成孔径雷达（SAR）非常适合热带地区，因为它能够独立于光线和天气条件进行成像。在这项研究中,我们强调了SAR传感器在评估向量之间关系方面的贡献，疟疾和亚马逊地区的环境。更具体地说,我们专注于基于SAR的蚊子幼虫潜在繁殖地点的表征，例如人工收集水和自然湿地，为使用SAR能力和技术提供指导，以优化病媒控制和疟疾监测。根据这些准则,我们提出了一个基于SAR组合的空间化指标和疟疾风险图的制作框架，昆虫学和流行病学数据，以支持该领域的疟疾风险预防和控制行动。
