Signorini Manuela, Cassini Rudi, Drigo Michele, Frangipane di Regalbono Antonio, Pietrobelli Mario, Montarsi Fabrizio, Stensgaard Anna-Sofie
Department of Animal Medicine, Production and Health, University of Padova, Legnaro, Italy.
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
Geospat Health. 2014 Nov;9(1):193-201. doi: 10.4081/gh.2014.16.
With respect to the epidemiology of leishmaniasis, it is crucial to take into account the ecoclimatic and environmental characteristics that influence the distribution patterns of the vector sand fly species. It is also important to consider the possible impact of on-going climate changes on the emergence of this disease. In order to map the potential distribution of Phlebotomus perniciosus, the main vector species of canine leishmaniasis in north-eastern Italy, geographical information systems tools, ecological niche models (ENM) and remotely sensed environmental data were applied for a retrospective analysis of an entomological survey conducted in north-eastern Italy over 12 years. Sand fly trapping was conducted from 2001 to 2012 in 175 sites in the provinces of Veneto, Friuli-Venezia Giulia and Trentino-Alto Adige. We developed a predictive model of potential distribution of P. perniciosus using the maximum entropy algorithm software, based on seasonal normalized difference vegetation index, day and night land surface temperature, the Corine land cover 2006, a digital elevation model (GTOPO30) and climate layers obtained from the WorldClim database. The MaxEnt prediction found the more suitable habitat for P. perniciosus to be hilly areas (100-300 m above the mean sea level) characterised by temperate climate during the winter and summer seasons, high winter vegetation cover and moderate rainfall during the activity season of vector sand fly. ENM provided a greater understanding of the geographical distribution and ecological requirements of P. perniciosus in the study area, which can be applied for the development of future surveillance strategies.
关于利什曼病的流行病学,考虑影响媒介白蛉物种分布模式的生态气候和环境特征至关重要。考虑当前气候变化对该疾病出现的可能影响也很重要。为了绘制意大利东北部犬利什曼病主要媒介物种——有害白蛉的潜在分布地图,利用地理信息系统工具、生态位模型(ENM)和遥感环境数据,对在意大利东北部进行了12年的昆虫学调查进行了回顾性分析。2001年至2012年期间,在威尼托、弗留利-威尼斯朱利亚和特伦蒂诺-上阿迪杰三省的175个地点进行了白蛉诱捕。我们基于季节性归一化植被指数、昼夜地表温度、2006年土地覆盖图、数字高程模型(GTOPO30)以及从世界气候数据库获得的气候层,使用最大熵算法软件开发了有害白蛉潜在分布的预测模型。最大熵预测发现,有害白蛉更适宜的栖息地是冬季和夏季气候温和、冬季植被覆盖率高且媒介白蛉活动季节降雨适中的丘陵地区(平均海拔100 - 300米)。生态位模型使我们对研究区域内有害白蛉的地理分布和生态需求有了更深入的了解,可应用于未来监测策略的制定。