Related Experiment Video

Updated: Feb 15, 2026

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

37.1K

Development of a Pediatric Ebola Predictive Score, Sierra Leone1

Felicity Fitzgerald, Kevin Wing, Asad Naveed

    Emerging Infectious Diseases
    |January 20, 2018
    PubMed
    Abstract

    Keywords:
    Ebola virusEbola virus diseaseSierra Leonecase definitionchild mortalitychildrenpediatricspredictionviral hemorrhagic feverviruses

    More Related Videos

    Guidelines for Elective Pediatric Fiberoptic Intubation11:19

    Guidelines for Elective Pediatric Fiberoptic Intubation

    Published on: January 17, 2011

    18.7K
    A Protocol for Computer-Based Protein Structure and Function Prediction16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    69.9K

    Related Concept Videos

    Introduction to z Scores01:06

    Introduction to z Scores

    A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
    z scores...
    11.4K
    Introduction to z Scores01:05

    Introduction to z Scores

    A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
    z scores...
    1.4K
    z Scores and Area Under the Curve01:17

    z Scores and Area Under the Curve

    z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
    19.7K
    Predicting Molecular Geometry02:27

    Predicting Molecular Geometry

    VSEPR Theory for Determination of Electron Pair Geometries
    46.2K
    z Scores and Unusual Values01:07

    z Scores and Unusual Values

    The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
     This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
    11.1K
    Prediction Intervals01:03

    Prediction Intervals

    The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
    However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
    3.4K