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Detection of spatially clustered outbreaks in motor vehicle crashes: What's the best method?

机译:检测机动车碰撞中的空间聚集性爆发:最佳方法是什么?

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摘要

Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature, with the SCAN statistic setting the benchmark. Spatio-temporal surveillance methods are less commonly described in relation to detection of outbreaks in motor vehicle crashes. The exponential two-pass CUSUM (E2PC) plan designed to detect age-clustered outbreaks is here compared to the SCAN statistic for early detection of spatially clustered outbreaks in crashes. If the shape and size of the outbreaks are known in advance, then the SCAN statistic has advantages over the E2PC plan. However, if outbreaks vary significantly in terms of size but are roughly rectangular in shape then the E2PC plan as outlined in this paper has advantages over the SCAN statistic.
机译:在文献中,用于检测疾病暴发的时空监视方法相当普遍,以SCAN统计数据为基准。时空监视方法相对于检测机动车碰撞中的暴发很少被描述。这里将旨在检测年龄聚集性爆发的指数两次通过CUSUM(E2PC)计划与SCAN统计数据进行比较,以早期发现崩溃中的空间聚集性爆发。如果事先知道爆发的形状和大小,则SCAN统计数据将优于E2PC计划。但是,如果爆发的大小差异很大,但形状大致呈矩形,则本文概述的E2PC计划比SCAN统计数据具有优势。

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