Rotela Camilo, Lopez Laura, Frías Céspedes María, Barbas Gabriela, Lighezzolo Andrés, Porcasi Ximena, Lanfri Mario A, Scavuzzo Carlos M, Gorla David E
Instituto de Altos Estudios Espaciales Mario Gulich, Comisión Nacional de Actividades Espaciales, Centro Espacial Teófilo Tabanera, Córdoba.
Geospat Health. 2017 Nov 6;12(2):564. doi: 10.4081/gh.2017.564.
After elimination of the Aedes aegypti vector in South America in the 1960s, dengue outbreaks started to reoccur during the 1990s; strongly in Argentina since 1998. In 2016, Córdoba City had the largest dengue outbreak in its history. In this article we report this outbreak including spatio-temporal analysis of cases and vectors in the city. A total of 653 dengue cases were recorded by the laboratory-based dengue surveillance system and georeferenced by their residential addresses. Case maps were generated from the epidemiological week 1 (beginning of January) to week 19 (mid-May). Dengue outbreak temporal evolution was analysed globally and three specific, high-incidence zones were detected using Knox analysis to characterising its spatio-temporal attributes. Field and remotely sensed data were collected and analysed in real time and a vector presence map based on the MaxEnt approach was generated to define hotspots, towards which the pesticide- based strategy was then targeted. The recorded pattern of cases evolution within the community suggests that dengue control measures should be improved.
20世纪60年代南美洲消除埃及伊蚊病媒后,登革热疫情在20世纪90年代开始再次出现;自1998年以来在阿根廷尤为严重。2016年,科尔多瓦市发生了其历史上最大规模的登革热疫情。在本文中,我们报告了此次疫情,包括对该市病例和病媒的时空分析。基于实验室的登革热监测系统共记录了653例登革热病例,并根据其居住地址进行了地理定位。病例地图是从第1个流行病学周(1月初)到第19个流行病学周(5月中旬)生成的。对登革热疫情的时间演变进行了全局分析,并使用诺克斯分析检测了三个特定的高发病区,以表征其时空属性。实时收集和分析了实地和遥感数据,并基于最大熵方法生成了病媒存在地图,以确定热点区域,然后将基于杀虫剂的策略针对这些热点区域。社区内记录的病例演变模式表明,登革热控制措施应加以改进。