Université d'Artois, Faculté d'Histoire-Géographie, Arras, France.
PLoS Negl Trop Dis. 2008 Jul 30;2(7):e271. doi: 10.1371/journal.pntd.0000271.
Buruli ulcer disease (BU), due to the bacteria Mycobacterium ulcerans, represents an important and emerging public health problem, especially in many African countries. Few elements are known nowadays about the routes of transmission of this environmental bacterium to the human population.
METHODOLOGY/PRINCIPAL FINDINGS: In this study, we have investigated the relationships between the incidence of BU in Côte d'Ivoire, western Africa, and a group of environmental variables. These environmental variables concern vegetation, crops (rice and banana), dams, and lakes. Using a geographical information system and multivariate analyses, we show a link between cases of BU and different environmental factors for the first time on a country-wide scale. As a result, irrigated rice field cultures areas, and, to a lesser extent, banana fields as well as areas in the vicinity of dams used for irrigation and aquaculture purposes, represent high-risk zones for the human population to contract BU in Côte d'Ivoire. This is much more relevant in the central part of the country.
CONCLUSIONS/SIGNIFICANCE: As already suspected by several case-control studies in different African countries, we strengthen in this work the identification of high-risk areas of BU on a national spatial scale. This first study should now be followed by many others in other countries and at a multi-year temporal scale. This goal implies a strong improvement in data collection and sharing in order to achieve to a global picture of the environmental conditions that drive BU emergence and persistence in human populations.
由于细菌溃疡分枝杆菌,导致的布鲁里溃疡病(BU),是一个重要且新兴的公共卫生问题,尤其在许多非洲国家。如今,人们对这种环境细菌向人类传播的途径知之甚少。
方法/主要发现:在这项研究中,我们调查了布基纳法索西部非洲布病发病率与一组环境变量之间的关系。这些环境变量涉及植被、作物(水稻和香蕉)、水坝和湖泊。我们首次利用地理信息系统和多元分析,在全国范围内显示了布病病例与不同环境因素之间的联系。结果表明,水稻灌溉农田区以及香蕉种植区,以及用于灌溉和水产养殖的水坝附近地区,是布基纳法索人口感染布病的高风险区。这在该国中部地区更为明显。
结论/意义:正如在不同非洲国家的几项病例对照研究中已经怀疑的那样,我们在这项工作中加强了在国家空间尺度上识别布病高风险地区的能力。这项初步研究现在应该在其他国家和多年时间尺度上进行更多研究。这一目标意味着需要大力改善数据收集和共享,以实现对驱动布病在人类群体中出现和持续存在的环境条件的全球图景。