Sentence examples for influenza negative from inspiring English sources

Exact(23)

Nevertheless, discussions have been taken on the best influenza negative control group to use.

Modeling suggested that laboratory test cost savings could be achieved if the POCT cost £30 and was used for screening, followed by the respiratory viral panel for RSV and influenza negative patients.

The present study aims to contribute to the knowledge on this field by comparing influenza VE estimates using three test-negative controls: all influenza negative, non-influenza respiratory virus and pan-negative.

The overall IVE adjusted for age, GP ILI/ARI diagnosis, chronic disease and respiratory allergy was 35%9595% CI: 15 48), 64%9595% CI: 49 75) and 21%9595% CI: −1 to 39) for all influenza negative, non-influenza virus positive and pan-negative controls, respectively.

Controls were grouped into those who tested (1) negative for influenza virus (all influenza negative), (2) negative for influenza virus, but positive for respiratory syncytial virus, rhinovirus or enterovirus (non-influenza virus positive), and (3) negative for these four viruses (pan-negative).

The attribution of influenza negative test results to influenza and other viruses is illustrated in Figure 3.

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Similar(37)

Cases (influenza laboratory-confirmed) were compared to influenza-negative ILI patients (test-negative) and patients without ILI since the beginning of the season (non-ILI).

These β7 tests are attributed to an RSV infection, however the number of influenza-negative tests that actually tested positive for RSV is unknown.

A regression model approach facilitates the simultaneous estimation of the effects of influenza activity on the number of influenza-negative tests while controlling for other factors.

We have found that influenza-positive cases were more likely to have running nose compared to influenza-negative cases, similar to the findings from another general population study in the tropics [7].

The weekly number of influenza-negative tests from 1999 to 2006 was modelled as a function of laboratory-confirmed positive tests for influenza, respiratory syncytial virus (RSV), adenovirus and parainfluenza viruses, seasonality, and trend using Poisson regression.

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