The Atlas of human African trypanosomiasis: a contribution to global mapping of neglected tropical diseases
The Atlas of human African trypanosomiasis: a contribution to global mapping of neglected tropical diseases
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DOI：
10.1186/1476-072x-9-57
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发表时间：
2010-11-01
影响因子：
4.9
通讯作者：
Jannin, Jean G.
中科院分区：
文献类型：
--
作者：
Simarro, Pere P.;Cecchi, Giuliano;Jannin, Jean G.
背景：根据世界卫生大会 1997 年第 50.36 号决议和 2003 年第 56.7 号决议，世界卫生组织（WHO）承诺支持非洲人类锥虫病（HAT）流行国家努力消除该疾病这一公共卫生问题。如果要实现这一目标，绘制 HAT 在时间和空间上的分布图可以发挥关键作用。为此，世卫组织发起了与联合国粮食及农业组织在非洲锥虫病防治规划框架内联合实施的 HAT Atlas 倡议。结果：报告了 2000 年至 2009 年期间报告昏睡病状况的 25 个撒哈拉以南非洲国家中的 23 个国家的 HAT 分布情况。对于其余两个国家，即安哥拉和刚果民主共和国，数据处理正在进行中。对国家昏睡病控制计划 (NSSCP)、非政府组织 (NGO) 和研究机构的报告进行了整理，并将相关流行病学数据输入数据库，从而纳入了 (i) 对超过 220 万人的主动筛查结果，以及 (ii) 在从事被动监测的医疗机构中发现的病例。该数据库共收录了超过 42 000 个 HAT 病例和 6 000 个不同地区的病例。使用各种地理坐标源来定位流行病学感兴趣的村庄。由此产生的平均测绘精度估计为 900 m。结论： NSSCP、非政府组织和研究机构全面参与 HAT 图集的构建有助于提高测绘过程的效率，并确保整理信息的质量和输出的准确性。尽管仍需努力减少未发现和未报告的病例数量，但十年期间村级 HAT 控制活动的全面绘图可确保详细、可靠地反映该疾病的已知地理分布。该地图集不仅服务于研究和宣传，更重要的是，它提供了重要的证据和宝贵的工具，可以帮助您做出明智的决策，规划和监测昏睡病的控制。
Background: Following World Health Assembly resolutions 50.36 in 1997 and 56.7 in 2003, the World Health Organization (WHO) committed itself to supporting human African trypanosomiasis (HAT)-endemic countries in their efforts to remove the disease as a public health problem. Mapping the distribution of HAT in time and space has a pivotal role to play if this objective is to be met. For this reason WHO launched the HAT Atlas initiative, jointly implemented with the Food and Agriculture Organization of the United Nations, in the framework of the Programme Against African Trypanosomosis.Results: The distribution of HAT is presented for 23 out of 25 sub-Saharan countries having reported on the status of sleeping sickness in the period 2000 - 2009. For the two remaining countries, i.e. Angola and the Democratic Republic of the Congo, data processing is ongoing. Reports by National Sleeping Sickness Control Programmes (NSSCPs), Non-Governmental Organizations (NGOs) and Research Institutes were collated and the relevant epidemiological data were entered in a database, thus incorporating (i) the results of active screening of over 2.2 million people, and (ii) cases detected in health care facilities engaged in passive surveillance. A total of over 42 000 cases of HAT and 6 000 different localities were included in the database. Various sources of geographic coordinates were used to locate the villages of epidemiological interest. The resulting average mapping accuracy is estimated at 900 m.Conclusions: Full involvement of NSSCPs, NGOs and Research Institutes in building the Atlas of HAT contributes to the efficiency of the mapping process and it assures both the quality of the collated information and the accuracy of the outputs. Although efforts are still needed to reduce the number of undetected and unreported cases, the comprehensive, village-level mapping of HAT control activities over a ten-year period ensures a detailed and reliable representation of the known geographic distribution of the disease. Not only does the Atlas serve research and advocacy, but, more importantly, it provides crucial evidence and a valuable tool for making informed decisions to plan and monitor the control of sleeping sickness.