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Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

Outliers and Influential Points

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...

Prediction Intervals

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.

Regression Toward the Mean

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...

Multiple Regression

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

Regression Analysis

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

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Related Experiment Video

Updated: Sep 18, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

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Published on: February 25, 2013

Correction: Forecasting outbound student mobility: A machine learning approach.

Stephanie Yang, Hsueh-Chih Chen, Wen-Ching Chen

|June 25, 2025

Summary

This summary is machine-generated.

This study corrects a previously published article DOI. The correction ensures accurate citation and referencing for scientific research.

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Last Updated: Sep 18, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

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Area of Science:

Scientific publishing
Scholarly communication
Research integrity

Context:

Correction of a previously assigned Digital Object Identifier (DOI).
Ensuring accurate referencing in scientific literature.
Maintaining the integrity of published research records.

Purpose:

To provide the correct DOI for the article.
To rectify errors in the scientific record.
To facilitate proper citation and retrieval of the research.

Summary:

The article DOI has been corrected to 10.1371/journal.pone.0238129.
This correction updates the official record for the publication.
Ensures that readers and databases can accurately link to the article.

Impact:

Improved accuracy in scientific databases and citation indexes.
Enhanced discoverability and accessibility of the research.
Upholds standards of scholarly communication and data integrity.