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Risk Mapping of Risk Factors Associated with Human Rabies Cases in Bali Province, Indonesia

机译:与印度尼西亚巴厘岛人类狂犬病病例相关的风险因素的风险映射

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Since the emergence of rabies cases in human in 2008, there have been 174 humans affected by the disease in Bali. Eradication program implementing dog vaccination has seemed to decrease the incidence of rabies cases in human, however the human cases were still found. A lot of resources from local and national government as well as the international organisation has been spent on this program. There need to be a review on rabies control implementation in Bali in order to have an effective dan efficient control program. Our study investigated data on rabies in humans and dogs and vaccination program in Bali from 2016 to 2018. In this study we analysed the association between number of human cases and three factors that include number of dog cases, dog vaccination coverages and number of poor households using a zero inflated Poisson regression. A risk map was also built by mapping the unexplained spatial risk (residual) using R. From this study we found that dog rabies and social economy status have positive association with human cases. As expected, the higher the vaccination coverage in dogs the lower the human rabies. However, none of these factors were significantly associated with the human cases. In the risk maps we found that Kintamani has the largest residual. This could mean this area has a unique risk factors compare to other subdistricts. Investigation in the areas with relatively high residual e.g. Kintamani is needed to uncover the unique risk factors contributing to human cases.
机译:自2008年人类狂犬病病例的出现以来,巴厘岛的疾病有174人。实施狗疫苗接种的根除计划似乎降低了人类狂犬病病例的发病率,但仍然发现了人类病例。从本地和国家政府以及国际组织的许多资源都在本计划上。需要在巴厘岛的狂犬病控制实施中进行审查,以便具有有效的DAN高效控制程序。我们的研究从2016到2018年调查了对巴厘岛的人类和狗和疫苗接种计划的数据。在这项研究中,我们分析了人类病例数与三个因素,包括狗病例,狗疫苗接种覆盖率和贫困家庭数量的三个因素使用零充气泊松回归。还通过使用R.从本研究中映射未解释的空间风险(残留)来构建风险地图,我们发现狗狂犬病和社会经济地位具有与人类病例的积极关系。如预期的那样,狗的疫苗接种覆盖率越高,人类狂犬病较低。然而,这些因素都没有明显与人类病例有关。在风险地图中,我们发现克林纳尼具有最大的残余。这可能意味着该领域与其他副本相比具有独特的风险因素。剩余较高的区域的调查需要Kintamani来揭示有助于人类病例的独特风险因素。

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