Hantavirus pulmonary syndrome (HPS) is a severe emerging endemic disease of the Americas. Because hantavirus reservoirs are sylvatic rodents, HPS risk has been associated with occupational and recreational activities in natural and rural environments. The aim of this study was to analyze the risk of HPS in an endemic province of Argentina. For this, we explored the relationship between HPS cases occurring in Entre Ríos province between 2004 and 2015 and climate, vegetation, landscape, reservoir population, and rodent community characteristics by means of generalized linear models. We modeled HPS occurrence at each site, and both the incidence and number of cases grouped by department. The resulting best model of each analysis was applied in a GIS to build HPS risk maps. Risk of occurrence of HPS increased with tree cover and decreased with distance to rivers. We identified the south of Entre Ríos as the area with higher HPS risk, and therefore, where HPS prevention measures should be more urgently applied. Risk maps based on data available in the public domain are a useful tool that should be used by decision makers to concentrate surveillance and control efforts in those areas with highest HPS risk.

中文翻译：

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阿根廷恩特里奥斯的汉坦病毒肺综合症风险。

汉塔病毒肺综合征（HPS）是美洲的一种严重的新兴地方病。由于汉坦病毒库是啮齿类啮齿动物，因此HPS风险与自然和农村环境中的职业和娱乐活动相关。这项研究的目的是分析阿根廷地方病省的HPS风险。为此，我们通过广义线性模型探讨了恩特雷里奥斯省在2004年至2015年间发生的HPS病例与气候，植被，景观，水库人口和啮齿动物群落特征之间的关系。我们对每个站点的HPS发生情况进行了建模，并对发病率和病例数（按部门分组）进行了建模。每种分析的最终最佳模型都应用在GIS中，以构建HPS风险图。HPS发生的风险随着树木的覆盖而增加，而与河流的距离则降低。我们将恩特雷里奥斯的南部确定为HPS风险较高的地区，因此，应紧急采取HPS预防措施。基于公共领域中可用数据的风险图是有用的工具，决策者应使用它来将监视和控制工作集中在HPS风险最高的那些区域。