Espinosa Manuel, Alvarez Di Fino Eliana Marina, Abril Marcelo, Lanfri Mario, Periago Maria Victoria, Scavuzzo Carlos Marcelo
Mundo Sano Foundation, Buenos Aires.
Geospat Health. 2018 Nov 9;13(2). doi: 10.4081/gh.2018.734.
Aedes aegypti is a vector for Chikungunya, Dengue and Zika viruses in Latin America and is therefore a large public health problem for the region. For this reason, several inter-institutional and multidisciplinary efforts have been made to support vector control actions through the use of geospatial technologies. This study presents the development of an operational system for the application of free access to remotely sensed products capable of assessing the oviposition activity of Ae. aegypti in all of Argentina's northern region with the specific aim to improve the current Argentine National Dengue risk system. Temporal modelling implemented includes remotely sensed variables like the normalized difference vegetation index, the normalized difference water index, day and night land surface temperature and precipitation data available from NASA's tropical rainfall measuring mission and global precipitation measurement. As a training data set, four years of weekly mosquito oviposition data from four different cities in Argentina were used. A series of satellite-generated variables was built, downloading and resampling the these products both spatially and temporally. From an initial set of 41 variables chosen based on the correlation between these products and the oviposition series, a subset of 11 variables were preserved to develop temporal forecasting models of oviposition using a lineal multivariate method in the four cities. Subsequently, a general model was generated using data from the cities. Finally, in order to obtain a model that could be broadly used, an extrapolation method using the concept of environmental distance was developed. Although the system was oriented towards the surveillance of dengue fever, the methodology could also be applied to other relevant vector-borne diseases as well as other geographical regions in Latin America.
埃及伊蚊是拉丁美洲基孔肯雅病毒、登革热病毒和寨卡病毒的传播媒介，因此是该地区一个重大的公共卫生问题。出于这个原因，已经开展了多项跨机构和多学科的工作，通过使用地理空间技术来支持病媒控制行动。本研究介绍了一个操作系统的开发，该系统可免费获取能够评估埃及伊蚊产卵活动的遥感产品，其具体目标是改进当前阿根廷国家登革热风险系统。实施的时间建模包括遥感变量，如归一化植被指数、归一化水体指数、昼夜陆地表面温度以及可从美国国家航空航天局热带降雨测量任务和全球降水测量获得的降水数据。作为训练数据集，使用了来自阿根廷四个不同城市的四年每周蚊虫产卵数据。构建了一系列卫星生成的变量，对这些产品进行空间和时间上的下载和重采样。基于这些产品与产卵序列之间的相关性，从最初选择的41个变量中，保留了11个变量的子集，使用线性多变量方法在四个城市建立产卵时间预测模型。随后，使用这些城市的数据生成了一个通用模型。最后，为了获得一个可广泛应用的模型，开发了一种使用环境距离概念的外推方法。尽管该系统以登革热监测为导向，但该方法也可应用于其他相关的病媒传播疾病以及拉丁美洲的其他地理区域。
