Assembling a geospatial database of tsetse-transmitted animal trypanosomosis for Africa
Assembling a geospatial database of tsetse-transmitted animal trypanosomosis for Africa
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DOI：
10.1186/1756-3305-7-39
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发表时间：
2014-01-21
影响因子：
3.2
通讯作者：
Mattioli, Raffaele C.
中科院分区：
文献类型：
--
作者：
Cecchi, Giuliano;Paone, Massimo;Mattioli, Raffaele C.
背景：非洲动物锥虫病(AAT)，或称NAGANA，广泛存在于撒哈拉以南非洲采采区。虽然文献中有大量关于其发生和流行的信息，但缺乏区域和大陆两级的综合和统一数据。为填补这一空白，联合国粮食及农业组织(粮农组织)与国际原子能机构(原子能机构)在非洲防治锥虫病方案(PAAT)框架内联合推出了采采类和AAT地图集。方法：地图集旨在建立并定期更新非洲大陆一级采采类物种分布和AAT的地理空间数据库。本论文的重点是建立一个动态的AAT数据库的方法，该数据库依赖于使用各种诊断技术估计的羊群水平的流行数据。此外，亦包括一系列辅助资料(例如锥虫种类、调查期间、动物种类及品种、畜牧制度等)。结果：以东非的埃塞俄比亚、肯尼亚和乌干达为研究对象，初步确定并分析了122篇论文，这些论文包含了1990年1月至2013年12月收集的现场数据。提取并记录了348个不同地理位置的AAT信息。所提供的分布图举例说明了可从AAT数据库直接生成的产出范围。结论：正在开展活动，绘制AAT在所有受影响国家的分布图，并开发Atlas的TSETSE部分。提出的方法也正在向受影响国家的合作伙伴转让，以期发展能力和加强数据管理、统一和共享。今后，地理空间建模将使人们能够在AAT实地观测范围内和范围之外作出预测。这些不同的信息层将为最适当的、针对特定地点的干预AAT战略的决策提供信息。在非人类宿主中出现人类感染性锥虫的数据也将为昏睡病的控制和消除提供有价值的信息。
Background: African animal trypanosomosis (AAT), or nagana, is widespread within the tsetse-infested belt of sub-Saharan Africa. Although a wealth of information on its occurrence and prevalence is available in the literature, synthesized and harmonized data at the regional and continental scales are lacking. To fill this gap the Food and Agriculture Organization of the United Nations (FAO) launched the Atlas of tsetse and AAT, jointly implemented with the International Atomic Energy Agency (IAEA) in the framework of the Programme Against African Trypanosomosis (PAAT).Methods: The Atlas aims to build and regularly update a geospatial database of tsetse species occurrence and AAT at the continental level. The present paper focuses on the methodology to assemble a dynamic database of AAT, which hinges on herd-level prevalence data as estimated using various diagnostic techniques. A range of ancillary information items is also included (e. g. trypanosome species, survey period, species and breed of animals, husbandry system, etc.). Input data were initially identified through a literature review.Results: Preliminary results are presented for Ethiopia, Kenya and Uganda in East Africa: 122 papers were identified and analyzed, which contained field data collected from January 1990 to December 2013. Information on AAT was extracted and recorded for 348 distinct geographic locations. The presented distribution maps exemplify the range of outputs that can be directly generated from the AAT database.Conclusions: Activities are ongoing to map the distribution of AAT in all affected countries and to develop the tsetse component of the Atlas. The presented methodology is also being transferred to partners in affected countries, with a view to developing capacity and strengthening data management, harmonization and sharing. In the future, geospatial modelling will enable predictions to be made within and beyond the range of AAT field observations. This variety of information layers will inform decisions on the most appropriate, site-specific strategies for intervention against AAT. Data on the occurrence of human-infective trypanosomes in non-human hosts will also provide valuable information for sleeping sickness control and elimination.