Sentence examples for clusters of exposure from inspiring English sources

Several cases among travelers may have resulted from clusters of exposure and/or from transmission within the traveling group.

These opportunities are defined as exposures or consequences (or clusters of exposures and consequences) whose modification is predicted to have significant effects on adult mental illness.

Test statistics for assessing clustering of exposure traces are presented below.

(4) Calculate the desired test statistic for clustering of exposure traces.

Interpolation-based exposure assignment may also reduce the clustering of exposure estimates that can result from using MSA- or county-based averages to assign exposures to study subjects.

The duration-based version is: A global test for the spatial clustering of the active exposure traces of cases through time is: This is the sum, over all time periods, of the global cluster test for the clustering of exposure traces.

The duration weighted version of this statistic is We can evaluate whether there is statistically significant clustering of exposure traces of cases about a mobile focus through time using the statistic: This is the count, over T+1 times, of the number of cases that have active exposure traces that are k nearest neighbors of the focus at each time point.

The test for spatial clustering of cases about a focus at a given time t (Equation 15) may then be extended to be a focused test for clustering of exposure traces as: This is the count of the number of cases with active exposure traces that are k nearest neighbors of the focus at time t.

A local case-control test for spatial clustering of exposure traces at time t is then: This is the count, at time t, of the number of k nearest neighbors of case i's active exposure trace that are cases (and not controls) whose exposure traces also are active.

Since we aimed to identify localized clusters, a maximum circular window of 30 Km in radius was used for scanning clusters of HCV exposure and PAT exposure.

In our multivariate analysis, we used generalized estimating equations to account for the clustering of exposures, particularly of foods consumed, observed in households [6].