Sentence examples for decisions on intervention from inspiring English sources

Exact(4)

To measure the receptive risks of malaria in Somalia and compare decisions on intervention scale-up based on this map and the more widely used contemporary risk maps.

In this case, decisions on intervention measures were made several days before culture results became available, and the diagnosis was based on clinical and epidemiologic characteristics and the results of the rapid influenza detection kit.

Total pRb, phospho-pRb, total p27 and phospho-p27 were quantified further in a multiple biopsy study to allow components of variability to be addressed to inform future sizing decisions on intervention studies.

In conclusion, critical decisions on intervention by using risk estimates require knowledge of the strengths and weaknesses of the selected method to respond in an adequate and timely manner to prevent human cases while reducing unnecessary response and costs associated with falsely identified high-risk periods.

Similar(55)

The results obtained in this paper can be used to provide support for decisions on interventions in the emergency call center to improve its performability.

A serological measure of the population immunity profile in a community provides a truer picture of infection during the first wave, and allows for evidence-based decisions on interventions during future waves.

It is unlikely that staff value completing a partograph when they do not use it to make decisions on interventions during labour.

Estimation of cardiovascular disease risk is increasingly used to inform decisions on interventions, such as the use of antihypertensives and statins, or to communicate the risks of smoking.

If this had occurred then it may have been possible to give patients and doctors opportunities to make decisions on interventions prior to birth [ 28- 30].

The within-cluster concordance probability is an important measure for risk models when these models are used to support decisions on interventions within the clusters.

We propose using the within-cluster concordance probability when risk models are used to support decisions within clusters, e.g. in clinical practice where decisions on interventions are commonly taken within centers.

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