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塞内加尔伊蚊可能占据区域内的裂谷热:动态变化与风险绘图

Rift Valley fever in a zone potentially occupied by Aedes vexans in Senegal: dynamics and risk mapping.

作者信息

Vignolles Cécile, Lacaux Jean-Pierre, Tourre Yves M, Bigeard Guillaume, Ndione Jacques-André, Lafaye Murielle

机构信息

CNES, Toulouse, France.

出版信息

Geospat Health. 2009 May;3(2):211-20. doi: 10.4081/gh.2009.221.

Abstract

This paper presents an analysis of the interaction between the various variables associated with Rift Valley fever (RVF) such as the mosquito vector, available hosts and rainfall distribution. To that end, the varying zones potentially occupied by mosquitoes (ZPOM), rainfall events and pond dynamics, and the associated exposure of hosts to the RVF virus by Aedes vexans, were analyzed in the Barkedji area of the Ferlo, Senegal, during the 2003 rainy season. Ponds were identified by remote sensing using a high-resolution SPOT-5 satellite image. Additional data on ponds and rainfall events from the Tropical Rainfall Measuring Mission were combined with in-situ entomological and limnimetric measurements, and the localization of vulnerable ruminant hosts (data derived from QuickBird satellite). Since "Ae. vexans productive events" are dependent on the timing of rainfall for their embryogenesis (six days without rain are necessary to trigger hatching), the dynamic spatio-temporal distribution of Ae. vexans density was based on the total rainfall amount and pond dynamics. Detailed ZPOM mapping was obtained on a daily basis and combined with aggressiveness temporal profiles. Risks zones, i.e. zones where hazards and vulnerability are combined, are expressed by the percentages of parks where animals are potentially exposed to mosquito bites. This new approach, simply relying upon rainfall distribution evaluated from space, is meant to contribute to the implementation of a new, operational early warning system for RVF based on environmental risks linked to climatic and environmental conditions.

摘要

本文分析了与裂谷热(RVF)相关的各种变量之间的相互作用,如蚊媒、可用宿主和降雨分布。为此,在2003年雨季期间,对塞内加尔费洛地区巴尔克吉地区蚊子可能占据的不同区域(ZPOM)、降雨事件和池塘动态,以及宿主通过骚扰伊蚊接触RVF病毒的相关情况进行了分析。利用高分辨率的SPOT - 5卫星图像通过遥感识别池塘。来自热带降雨测量任务的关于池塘和降雨事件的其他数据与现场昆虫学和湖沼学测量数据,以及易感染反刍动物宿主的定位数据(来自快鸟卫星)相结合。由于“骚扰伊蚊繁殖事件”的胚胎发育依赖于降雨时间(需要六天无雨才能触发孵化),骚扰伊蚊密度的动态时空分布基于总降雨量和池塘动态。每天都获得详细的ZPOM地图,并与攻击性时间剖面相结合。风险区域,即危险和脆弱性相结合的区域,用动物可能暴露于蚊虫叮咬的公园百分比来表示。这种仅依靠从太空评估降雨分布的新方法,旨在为基于与气候和环境条件相关的环境风险实施新的、可操作的裂谷热早期预警系统做出贡献。

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