Chagas disease in Mexico: an analysis of geographical distribution during the past 76 years - A review

Chagas disease in Mexico: an analysis of geographical distribution during the past 76 years - A review
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DOI:
10.1590/s0074-02762006000400001
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发表时间:
2006-06-01
期刊:
Memórias do Instituto Oswaldo Cruz
影响因子:
--
通讯作者:
Pickering-López, José Miguel
Pickering-López, José Miguel
中科院分区:
其他
文献类型:
--
作者:
Cruz-Reyes, Alejandro;Pickering-López, José Miguel

文献摘要

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从1928年到2004年的文献是根据墨西哥或其他地方出版的不同文献来源汇编的。从这907份出版物中,我们在墨西哥发现了19个不同的恰加斯病研究主题。这些出版物是按年代和国家排列的。这些信息被用来根据不同的标准(疾病、媒介、宿主和菌株)构建描述恰加斯病分布的地图。这种人畜共患疾病研究面临的主要问题之一是媒介物种的巨大生物多样性;有30个不同的物种,其中至少10个在人类感染中起主要作用。气候和生物地理区域的高度可变性使对该国每个地区该病动态的研究和理解进一步复杂化。我们使用桌面遗传算法进行规则集预测程序,提供生物生态位的生态模型,提高了选择预测环境和生态数据的灵活性。这种方法可能有助于确定疾病风险区域,规划媒介控制方案,并探索寄生虫水库的关联。有了这些收集到的信息,我们构建了一个数据库:CHAGMEX,以html格式在线提供。
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.