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首页> 外文期刊>Parasitology >Understanding transmissibility patterns of Chagas disease through complex vector-host networks
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Understanding transmissibility patterns of Chagas disease through complex vector-host networks

机译：通过复杂的矢量主机网络了解Chagas病的传播模式

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摘要

Chagas disease is one of the most important vector-borne zoonotic diseases in Latin America. Control strategies could be improved if transmissibility patterns of its aetiologic agent, Trypanosoma cruzi, were better understood. To understand transmissibility patterns of Chagas disease in Mexico, we inferred potential vectors and hosts of T. cruzi from geographic distributions of nine species of Triatominae and 396 wild mammal species, respectively. The most probable vectors and hosts of T. cruzi were represented in a Complex Inference Network, from which we formulated a predictive model and several associated hypotheses about the ecological epidemiology of Chagas disease. We compiled a list of confirmed mammal hosts to test our hypotheses. Our tests allowed us to predict the most important potential hosts of T. cruzi and to validate the model showing that the confirmed hosts were those predicted to be the most important hosts. We were also able to predict differences in the transmissibility of T. cruzi among triatomine species from spatial data. We hope our findings help drive efforts for future experimental studies.
机译：Chagas疾病是拉丁美洲最重要的载体传播的人群疾病之一。如果其Aetiologic Agent，Trypanosoma Cruzi更好地理解，则可以改善控制策略。为了了解墨西哥的Chagas疾病的传播模式，我们将分别推断出从九种Triatominae和396种野生哺乳动物物种的地理分布中推断出潜在的载体和宿主。最可能的载体和宿主的T.Cruzi在复杂的推理网络中表示，我们制定了关于Chagas病的生态流行病学的预测模型和几个相关假设。我们编制了一份确认的哺乳动物主机列表以测试我们的假设。我们的测试允许我们预测最重要的T.Cruzi潜在宿主，并验证模型，表明确认的主机是预期成为最重要的主机的模型。我们还能够从空间数据中预测T.Cruzi之间T.Cruzi的传导性的差异。我们希望我们的研究结果有助于推动未来的实验研究的努力。

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