Cruz-Reyes Alejandro, Pickering-López José Miguel
Instituto de Biología, Universidad Nacional Autónoma de México, México, México.
Mem Inst Oswaldo Cruz. 2006 Jun;101(4):345-54. doi: 10.1590/s0074-02762006000400001.
Literature from 1928 through 2004 was compiled from different document sources published in Mexico or elsewhere. From these 907 publications, we found 19 different topics of Chagas disease study in Mexico. The publications were arranged by decade and also by state. This information was used to construct maps describing the distribution of Chagas disease according to different criteria: the disease, vectors, reservoirs, and strains. One of the major problems confronting study of this zoonotic disease is the great biodiversity of the vector species; there are 30 different species, with at least 10 playing a major role in human infection. The high variability of climates and biogeographic regions further complicate study and understanding of the dynamics of this disease in each region of the country. We used a desktop Genetic Algorithm for Rule-Set Prediction procedure to provide ecological models of organism niches, offering improved flexibility for choosing predictive environmental and ecological data. This approach may help to identify regions at risk of disease, plan vector-control programs, and explore parasitic reservoir association. With this collected information, we have constructed a data base: CHAGMEX, available online in html format.
1928年至2004年的文献资料来自在墨西哥或其他地方出版的不同文献来源。从这907篇出版物中,我们发现了墨西哥恰加斯病研究的19个不同主题。这些出版物按十年和州进行了编排。这些信息被用来绘制地图,根据不同标准描述恰加斯病的分布情况:疾病、病媒、宿主和菌株。研究这种人畜共患病面临的主要问题之一是病媒物种的生物多样性极高;有30种不同的物种,其中至少10种在人类感染中起主要作用。气候和生物地理区域的高度变异性进一步使研究和理解该国每个地区这种疾病的动态变得复杂。我们使用了一种桌面遗传算法规则集预测程序来提供生物体生态位的生态模型,为选择预测性环境和生态数据提供了更高的灵活性。这种方法可能有助于识别疾病风险区域、规划病媒控制项目以及探索寄生虫宿主关联。利用这些收集到的信息,我们构建了一个数据库:CHAGMEX,以html格式在线提供。