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Canines Rabies Epidemic and Control Simulator

机译:犬犬狂犬病疫情和控制模拟器

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Rabies, a fatal and infectious disease, is still endemic in all regions of Thailand. Domestic dogs are the most common reservoir of the virus. In a practical routine, it has a measure to control a disease with a mass vaccination, but operation is not effective due to the large area of operation protocol and difficulty in tracking an infected dog. In order to make a tool to help tracking an epidemic area, this paper presents the implementation of rabies epidemic simulation. The world generation and spatial data are generated from Mapbox SDK in Unity engine. Dog behavior and homerange are determined from a normal distribution and kernel density estimation method. Rabies infected dogs are modeled in SEIR model and their behavior is determined from a normal distribution combined with a factor probability value calculated from the incline and home position. The result shows that the coverage area of epidemic can cover other reported cases with a shorter radius than a vaccination protocol but giving a high RO result due to the dog group sample and unpredictable repeat bite of infected dog.
机译:狂犬病,致命和传染病,在泰国的所有地区仍然是地方。国内狗是病毒最常见的储层。在实际常规中,它具有控制具有大规模疫苗接种的疾病的措施,但由于操作方案的大面积和难以跟踪受感染的狗,操作无效。为了制作工具来帮助跟踪疫情区域,提出了狂犬病疫情模拟的实施。世界生成和空间数据是从统一引擎中的Mapbox SDK生成的。从正态分布和核密度估计方法确定狗行为和自定位。狂犬病感染的狗在SIR模型中进行建模,并且它们的行为是从正态分布结合的正态分布确定,与来自倾斜和原始位置计算的因子概率值。结果表明,疫情的覆盖面积可以涵盖与疫苗接种方案的半径较短的其他报告的病例,但由于狗群样本和不可预测的狗的不可预测的重复咬伤,给出高RO结果。

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