Sentence examples for cluster detection methods from inspiring English sources

However, the form of the simulated outbreaks needs to be carefully considered, as the power of cluster detection methods to detect and locate disease clusters has been found to vary based on the location of the cluster, its extent, and the overall disease prevalence [ 3].

For example, one high-rate area (M9R) that was evident on the non-smoothed SIR map and subsequently detected by both local cluster detection methods, was hidden by the smoothing process.

Where applied, cluster detection methods have identified statistically significant spatial dependency within the injury data under investigation.

For example, the most comprehensive studies began by mapping raw data, further explored the data using one or more cluster detection methods and then applied one or more spatial regression methods to understand the relationship with predictor variables (Dai et al. 2013; Shenoi et al. 2015).

We tested this hypothesis by applying cluster detection methods to the 2003 WNv outbreak and examining the patterns of WNv cases in subsequent years to see if they fell within the 2003 cluster.

This paper is centered around the focused cluster detection methods.

In this paper, we proposed a novel weighted support vector machine-based microcalcification cluster detection method for FFDM images.

The most frequently used hotspot analysis method for point data (n = 10 studies) was KDE (considered to be a cluster detection method because of its ability to provide evidence of hotspots) which is mostly used for exploratory analysis of hotspots through a density map.

For decoding a set A* of code words (the code book) was specified through a cluster detection method among all contact vectors.

The sensitivity of the cluster detection method to data completeness was shown by the high proportion of clusters (up to 30%% of confirmed new clusters) which were missed at the first monitoring opportunity, and only found when data had been further updated with late or amended diagnoses.

These results suggest caution should be exercised when arbitrarily selecting a space-time scan statistic model for disease surveillance involving these data and highlight the importance of preliminary validation studies using simulated or documented outbreak reports before a standard cluster detection method is adopted by a surveillance system.