首页> 外文会议>2013 Pan American Health Care Exchanges Conference >A spatial agent based model for the simulation of house infestation by R. prolixus the principal vector of Chagas disease in Colombia
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A spatial agent based model for the simulation of house infestation by R. prolixus the principal vector of Chagas disease in Colombia

机译:基于空间代理的哥伦比亚南美锥虫病主要媒介R. prolixus模拟房屋侵扰的模型

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Chagas disease is one of the most relevant neglected tropical diseases in Latin America. Despite control strategies that included exhaustive human dwellings' fumigations, the eradication of the disease has been unsuccessful due, in part, to vector migration. It has been suggested that contact rates between insects and people is an important factor determining the severity of the disease. Thus, understanding the relation between the insects' population distribution in houses and palms, and infestation risk factors could be important factor in designing control strategies. Here we developed an agent-based model of a hypothetical village in Colombia composed by houses and palms where insects interact based on relevant biological aspects. We used the model to weight the contribution of risk factors for house infestation (construction materials, number of people per house, number of domestic species per house, light and distance between houses and palms). We found that the model reproduced observed field studies data such as insects' densities and distribution within palms and houses. House construction materials improvement and reducing the number of people per house could be two strategies to struggle against house infestation.
机译:恰加斯病是拉丁美洲最相关的被忽视的热带病之一。尽管采取了包括对人类住所进行彻底熏蒸的控制策略,但根除病媒迁移,根除该病仍未成功。已经提出,昆虫与人之间的接触率是决定疾病严重程度的重要因素。因此,了解昆虫在房屋和手掌中的种群分布与侵扰风险因素之间的关系可能是设计控制策略的重要因素。在这里,我们开发了一个基于代理人的哥伦比亚假想村庄模型,该村庄由房屋和棕榈组成,昆虫根据相关的生物学方面相互作用。我们使用该模型对房屋感染的危险因素(建筑材料,每所房屋的人数,每所房屋的家种数量,光线和房屋与手掌之间的距离)的权重进行加权。我们发现该模型重现了观察到的现场研究数据,例如昆虫的密度以及在棕榈和房屋内的分布。改善房屋建筑材料和减少每座房屋的人数可能是与房屋侵扰作斗争的两种策略。

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