文章基本信息

标题：Climate impacts on environmental risks evaluated from space: a conceptual approach to the case of Rift Valley Fever in Senegal
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作者：Yves M. Tourre ; Jean-Pierre Lacaux ; Cécile Vignolles 等
期刊名称：Global Health Action
印刷版ISSN：1654-9716
电子版ISSN：1654-9880
出版年度：2009
卷号：2
期号：0
DOI：10.3402/gha.v2i0.2053
语种：English
出版社：Taylor & Francis
摘要：Background: Climate and environment vary across many spatio-temporal scales, including the concept of climate change, which impact on ecosystems, vector-borne diseases and public health worldwide. Objectives: To develop a conceptual approach by mapping climatic and environmental conditions from space and studying their linkages with Rift Valley Fever (RVF) epidemics in Senegal. Design: Ponds in which mosquitoes could thrive were identified from remote sensing using high-resolution SPOT-5 satellite images. Additional data on pond dynamics and rainfall events (obtained from the Tropical Rainfall Measuring Mission) were combined with hydrological in-situ data. Localisation of vulnerable hosts such as penned cattle (from QuickBird satellite) were also used. Results: Dynamic spatio-temporal distribution of Aedes vexans density (one of the main RVF vectors) is based on the total rainfall amount and ponds’ dynamics. While Zones Potentially Occupied by Mosquitoes are mapped, detailed risk areas, i.e. zones where hazards and vulnerability occur, are expressed in percentages of areas where cattle are potentially exposed to mosquitoes’ bites. Conclusions: This new conceptual approach, using precise remote-sensing techniques, simply relies upon rainfall distribution also evaluated from space. It is meant to contribute to the implementation of operational early warning systems for RVF based on both natural and anthropogenic climatic and environmental changes. In a climate change context, this approach could also be applied to other vector-borne diseases and placesworldwide. Keywords: climate change; public health; remote sensing; risk mapping; vector-borne diseases; Rift Valley Fever; early warning systems; Health Information System (Published: 11 November 2009) Citation: Global Health Action 2009. DOI: 10.3402/gha.v2i0.2053