Sentence examples for epidemiological datasets of from inspiring English sources

We first examine the approach by analyzing an outbreak of severe acute respiratory syndrome in Hong Kong (2003) with known unbiased cCFR estimate, and then investigate published epidemiological datasets of novel swine-origin influenza A (H1N1) virus infection in the USA and Canada (2009).

This allowed us to retrospectively analyze epidemiological datasets of confirmed cases whose diagnosis took place at an international border during the early entry screening practice and of a portion of passengers screened by the infrared thermoscanners.

The present study analyzed epidemiological datasets of confirmed influenza cases whose diagnosis took place at Narita International Airport during the early stages of the 2009 pandemic and of a selected and suspected fraction of passengers screened from September 2009 to January 2010.

However, relying on the reported number of new AIDS cases alone and the absence of a comprehensive epidemiological dataset on HIV cases may limit the interpretation of the current investigation and our understanding of the true picture of the HIV/AIDS epidemic in Brazil.

Reshef's plan was to develop algorithms for analyzing epidemiological datasets, to extract information about the conditions that contribute most to disease outbreaks.

The strength of the current study therefore lies in the ability to replicate the findings across two large, epidemiological datasets that included structured diagnoses of the major mental disorders and similar measures of other clinical, demographic and service use variables.

The most useful index to clinicians, as well as to research investigators, will most likely consist of variables that consistently emerge as the strongest predictors in multiple epidemiological datasets that include a comprehensive range of measures.

The comparative assessment of two different epidemiological datasets and the similarities revealed in the studied associations provide reliability and support to the present results.

EMD is a technique developed specifically to decompose non-stationary and nonlinear time series and has been successfully applied to a number of climatic and epidemiological datasets.

Large epidemiological datasets such as this will assist the development of further trials of transfusion and appropriate use of blood products in ICU patients.

It provides the first comprehensive evaluation of ML estimation of k for highly overdispersed datasets (i.e. those with k<1); it reports the coverage accuracy of CIs derived from those estimates; and it examines potential biases in estimation due to methods and errors of data collection, with application to epidemiological datasets in particular and biological datasets in general.