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Mapping Histoplasma capsulatum Exposure, United States

机译:映射荚膜组织胞浆菌暴露,美国

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Maps of Histoplasma capsulatum infection prevalence were created 50 years ago; since then, the environment, climate, and anthropogenic land use have changed drastically. Recent outbreaks of acute disease in Montana and Nebraska, USA, suggest shifts in geographic distribution, necessitating updated prevalence maps. To create a weighted overlay geographic suitability model for Histoplasma , we used a geographic information system to combine satellite imagery integrating land cover use (70%), distance to water (20%), and soil pH (10%). We used logistic regression modeling to compare our map with state-level histoplasmosis incidence data from a 5% sample from the Centers for Medicare and Medicaid Services. When compared with the state-based Centers data, the predictive accuracy of the suitability score–predicted states with high and mid-to-high histoplasmosis incidence was moderate. Preferred soil environments for Histoplasma have migrated into the upper Missouri River basin. Suitability score mapping may be applicable to other geographically specific infectious vectors.
机译:50年前绘制了荚膜组织胞浆菌感染率图。从那时起,环境,气候和人为土地利用发生了巨大变化。美国蒙大拿州和内布拉斯加州最近爆发的急性疾病表明地理分布发生了变化,因此需要更新患病率地图。为了创建用于组织胞浆的加权叠加地理适应性模型,我们使用了一个地理信息系统,将结合了土地覆盖用途(70%),距水的距离(20%)和土壤pH(10%)的卫星图像结合在一起。我们使用逻辑回归模型将我们的地图与来自Medicare和Medicaid Services中心的5%样本的州级组织胞浆菌病发病率数据进行比较。与基于州的Centers数据相比,适用性评分预测的高和中至高组织胞浆菌病发生率的州的预测准确性中等。组织原虫的首选土壤环境已迁移到密苏里河上游流域。适应性评分图谱可适用于其他地理上特定的传染媒介。

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