Sentence examples for outbreak evaluation from inspiring English sources

Exact(1)

As this was an ad hoc outbreak evaluation with a predominant population of children, not all contacts participated in the study and not all tests for the immunodiagnosis of tuberculosis could be performed in all contacts in parallel.

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We recommend that future influenza outbreak evaluations of women exposed to influenza with first or early second trimester pregnancy loss include collections of placental and fetal tissue samples.

Two freely available programs have been designed for outbreak detection evaluation.

There is an urgent need to investigate such relationships which can help prediction of future outbreak and evaluation of mitigation strategies.

During the outbreak, the evaluation of the unit and the observation of practices revealed the following: No problems were observed in the Central Pharmacy with TPN preparation; however manipulation of TPN solutions by nurses, adding components in the neonatal unit occurred.

Current temporal outbreak detection evaluation methods include testing using long outbreak-free datasets, and inserting a simulated outbreak at multiple points during this dataset to enable reporting of averaged detection abilities which account for typical fluctuations in baseline disease reports over time (e.g. [ 24]).

We used only two outbreaks for evaluation, given the difficulty of generating and validating such datasets.

Two researchers (EB and AT) independently examined title and abstract of the publications to include any publication (for example outbreak reports, evaluations, health services research studies, guidelines) potentially describing recommendations for ID-control professionals and disaster emergency responders.

This simulation model provides a flexible method for generating datasets and selecting an unbiased sample of days and locations to insert outbreaks for the evaluation of spatio-temporal outbreak detection algorithms.

The objective of this research was to develop a transparent user-friendly method to simulate datasets for outbreak detection algorithm evaluation.

Clusters that were part of a probable outbreak (an epidemiologic evaluation suggested, but did not confirm, a common source of infection) were also excluded.

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