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首页> 外文会议>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：基于空间代理模型，用于模拟R族腐蚀菌诱捕哥伦比亚的Chagas病的主要载体

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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：Chagas疾病是拉丁美洲最相关的被忽视的热带病之一。尽管控制策略包括彻底的人类住所的熏蒸，但疾病的根除部分是由于传染媒介迁移的不成功。有人建议，昆虫与人之间的联系率是确定疾病严重程度的重要因素。因此，了解昆虫人口分布在房屋和棕榈树中的关系，侵染风险因素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的哥伦比亚假设村庄模型，由房屋和手掌组成，其中昆虫基于相关的生物学方面互动。我们利用模型来重量危险因素的贡献，为房屋侵扰（建筑材料，每房间的人数，每房间的家庭数量，房屋和棕榈之间的光线和距离）。我们发现模型转载了观测的现场研究数据，例如昆虫的密度和棕榈树和房屋内的分布。房屋建筑材料改善和减少每房屋的人数可能是两种斗争侵扰的策略。

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