Related Experiment Video

Updated: Jan 19, 2026

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.3K

Using general practice data to monitor influenza vaccination coverage in the medically at risk: a data linkage study

Dauda Badmus1, Robert Menzies2

  • 1School of Public Health and Community Medicine, UNSW, Sydney, New South Wales, Australia dauda.badmus@unswalumni.com.

BMJ Open
|September 19, 2019
PubMed
Abstract

Keywords:
GP DatabaseImmunisationInfluenza riskInfluenza vaccinationVaccination coverageVaccination survey

More Related Videos

Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity10:39

Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity

Published on: June 25, 2015

13.1K
Establishing a Competing Risk Regression Nomogram Model for Survival Data04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.8K

Related Concept Videos

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Simultaneous electroencephalography (EEG) and functional Magnetic Resonance imaging (fMRI) is a powerful neuroimaging tool. However, the inside of an MRI scanner forms a difficult environment for EEG data recording and safety must be considered whenever operating EEG equipment inside a scanner. Here, we present an optimised EEG-fMRI data acquisition...
33.3K
Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity10:39

Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity

There is an overall lack of knowledge about how vaccines work. Here we propose the combined use of reverse genetics and bone marrow chimeric mice to gain insight into the early host immune responses to vaccines with a special focus on dendritic cells and T cell...
13.1K
Establishing a Competing Risk Regression Nomogram Model for Survival Data04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Presented here is a protocol to build nomograms based on the Cox proportional hazards regression model and competing risk regression model. The competing method is a more rational method to apply when competing events are present in the survival...
10.8K
Generating Recombinant Live-Attenuated Influenza Viruses for Vaccines02:58

Generating Recombinant Live-Attenuated Influenza Viruses for Vaccines

The video showcases a method to create cold-adapted recombinant influenza viruses. It involves transfecting human cells with bi-directional plasmids, followed by incubation at lower temperature incubation to yield viruses suitable for vaccine production, characterized by reduced replication in warmer...
609
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.8K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
42.9K