A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016.
A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016.
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DOI：
10.12688/wellcomeopenres.12187.1
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发表时间：
2017-01-01
影响因子：
--
通讯作者：
Snow, Robert W
中科院分区：
文献类型：
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作者：
Kyalo, David;Amratia, Punam;Snow, Robert W
背景资料：了解疟疾按蚊媒介的分布是制定国家疟疾控制和消除方案的重要前奏。自1960年代以来，没有使用所有现有的已发表和未发表的数据进行单一的、地理编码的大陆按蚊清单。研究方法：我们搜索了非洲、欧洲和世界卫生组织的档案，以确定撒哈拉以南48个非洲国家未发表的按蚊调查报告。通过确定研究生论文、会议摘要、区域杀虫剂抗药性数据库和同行评审文献的更传统的书目检索，补充了这一检索。最后，对最近两个主要疟疾病媒物种地点（约2 500个）的资料库进行了检查。每份报告都被用来提取关于调查日期、村庄位置（地理编码以提供经度和纬度）、采样方法、物种识别方法和调查期间发现的所有按蚊物种的信息。随着时间的推移，调查记录被压缩到一个单一的网站。结果如下：搜索策略耗时数年，并在1898年至2016年期间产生了13，331个独特的地理编码调查位置。共有12 204个地点（92%）报告存在10种主要病媒物种/姊妹物种;其中4 473个地点（37%）是自2005年以来取样的。4，442个地点（33%）报告至少有13种可能的二级病媒物种之一;其中1，107个地点（25%）是自2005年以来取样的。优势和次要载体的分布符合这些载体的生态范围的以前的描述。结论：我们已经建立了非洲有史以来最大的按蚊地理编码数据库，这是一个遗留数据集，可供今后更新和确定国家一级的知识差距。地理编码数据库可在哈佛数据网上查阅，作为非洲国家疟疾控制方案规划未来控制和消除战略的参考资料。
Background: Understanding the distribution of anopheline vectors of malaria is an important prelude to the design of national malaria control and elimination programmes. A single, geo-coded continental inventory of anophelines using all available published and unpublished data has not been undertaken since the 1960s. Methods: We have searched African, European and World Health Organization archives to identify unpublished reports on anopheline surveys in 48 sub-Saharan Africa countries. This search was supplemented by identification of reports that formed part of post-graduate theses, conference abstracts, regional insecticide resistance databases and more traditional bibliographic searches of peer-reviewed literature. Finally, a check was made against two recent repositories of dominant malaria vector species locations ( circa 2,500). Each report was used to extract information on the survey dates, village locations (geo-coded to provide a longitude and latitude), sampling methods, species identification methods and all anopheline species found present during the survey. Survey records were collapsed to a single site over time. Results: The search strategy took years and resulted in 13,331 unique, geo-coded survey locations of anopheline vector occurrence between 1898 and 2016. A total of 12,204 (92%) sites reported the presence of 10 dominant vector species/sibling species; 4,473 (37%) of these sites were sampled since 2005. 4,442 (33%) sites reported at least one of 13 possible secondary vector species; 1,107 (25%) of these sites were sampled since 2005. Distributions of dominant and secondary vectors conform to previous descriptions of the ecological ranges of these vectors. Conclusion: We have assembled the largest ever geo-coded database of anophelines in Africa, representing a legacy dataset for future updating and identification of knowledge gaps at national levels. The geo-coded database is available on Harvard Dataverse as a reference source for African national malaria control programmes planning their future control and elimination strategies.