Toward an Open-Access Global Database for Mapping, Control, and Surveillance of Neglected Tropical Diseases
Toward an Open-Access Global Database for Mapping, Control, and Surveillance of Neglected Tropical Diseases
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DOI：
10.1371/journal.pntd.0001404
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发表时间：
2011-12-01
影响因子：
3.8
通讯作者：
Vounatsou, Penelope
中科院分区：
文献类型：
--
作者：
Huerlimann, Eveline;Schur, Nadine;Vounatsou, Penelope
工作背景：经过多年的普遍忽视，人们的兴趣有所增加，并正在努力绘制、控制、监测和最终消除被忽视的热带病。疾病风险估计是有针对性的控制干预措施的一个关键特征，并可作为监测和评价的基准。目前缺少的是一个地理参照的全球NTD数据库，该数据库可开放获取不断更新的现有调查数据，研究人员和疾病控制管理人员可利用该数据库支持其他相关利益攸关方。我们描述了这样一个数据库，可以用于空间疾病风险建模和控制NTDs.Methodology的发展所采取的步骤：在非洲的血吸虫病的重点，我们系统地搜索文献（同行评议的期刊和“灰色文献”），联系卫生部和研究机构在血吸虫病流行的国家的特定位置的患病率数据和调查细节（例如：例如，在一个实施例中，研究人口、调查年份和诊断技术）。数据被提取、地理参考并存储在带有Web界面的MySQL数据库中，允许免费的数据库访问和数据管理。主要发现：2011年初，我们的数据库包含来自35个非洲国家的12，000多个地理参考血吸虫病调查地点，可在http://www.gntd.org上访问。目前，该数据库已扩展到全球存储库，包括许多其他NTD，例如。G.土壤传播的蠕虫病和利什曼病。结论：一个开放的，空间上明确的NTD数据库提供了独特的机会，疾病风险建模，有针对性的控制干预措施，疾病监测和监督。此外，它还可以对疾病在空间和时间上的分布进行详细的地质统计分析。我们首先关注非洲的血吸虫病，证明了建立和运行全球NTD数据库的概念是可行的，应该毫不拖延地扩大。
Background: After many years of general neglect, interest has grown and efforts came under way for the mapping, control, surveillance, and eventual elimination of neglected tropical diseases (NTDs). Disease risk estimates are a key feature to target control interventions, and serve as a benchmark for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken toward the development of such a database that can be employed for spatial disease risk modeling and control of NTDs.Methodology: With an emphasis on schistosomiasis in Africa, we systematically searched the literature (peer-reviewed journals and 'grey literature'), contacted Ministries of Health and research institutions in schistosomiasis-endemic countries for location-specific prevalence data and survey details (e. g., study population, year of survey and diagnostic techniques). The data were extracted, georeferenced, and stored in a MySQL database with a web interface allowing free database access and data management.Principal Findings: At the beginning of 2011, our database contained more than 12,000 georeferenced schistosomiasis survey locations from 35 African countries available under http://www.gntd.org. Currently, the database is expanded to a global repository, including a host of other NTDs, e. g. soil-transmitted helminthiasis and leishmaniasis.Conclusions: An open-access, spatially explicit NTD database offers unique opportunities for disease risk modeling, targeting control interventions, disease monitoring, and surveillance. Moreover, it allows for detailed geostatistical analyses of disease distribution in space and time. With an initial focus on schistosomiasis in Africa, we demonstrate the proof-of-concept that the establishment and running of a global NTD database is feasible and should be expanded without delay.