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Related Concept Videos

Coronavirus01:29

Coronavirus

Coronaviruses, including the severe acute respiratory syndrome coronavirus (SARS-CoV), are enveloped viruses characterized by their single-stranded, positive-sense RNA genome and helical nucleocapsid structure. The hallmark of these viruses is their club-shaped spike (S) glycoproteins that protrude from the viral envelope, facilitating attachment to host cells. Typically, coronaviruses infect the upper respiratory tract, often causing mild or asymptomatic disease. However, certain strains like...
Steps in Outbreak Investigation01:18

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:
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
Pareto Chart00:52

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...

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Related Experiment Video

Updated: May 29, 2026

Visualization of SARS-CoV-2 using Immuno RNA-Fluorescence In Situ Hybridization
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Visualization of SARS-CoV-2 using Immuno RNA-Fluorescence In Situ Hybridization

Published on: December 23, 2020

Reflections on Visualizing the COVID-19 Pandemic for the Public.

Tatiana Losev, Nicolas Medoc, Klaus Mueller

    IEEE Computer Graphics and Applications
    |May 27, 2026
    PubMed
    Summary

    Effective public health communication requires inclusive data visualization practices. Recommendations include cross-disciplinary collaboration and audience-centered design for future pandemics.

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    Published on: November 7, 2020

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    Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

    Published on: November 7, 2020

    Area of Science:

    • Public Health Communication
    • Data Visualization
    • Pandemic Preparedness

    Background:

    • The COVID-19 pandemic highlighted the critical role of data visualization in public health.
    • Effective communication of complex health data is essential for informed decision-making.
    • Previous visualization strategies may have had limitations in addressing diverse public needs.

    Purpose of the Study:

    • To reflect on experiences with COVID-19 data visualization for public health communication.
    • To identify missed opportunities and key considerations in pandemic data visualization.
    • To provide actionable recommendations for improving future pandemic communication.

    Main Methods:

    • International researchers with diverse backgrounds convened for a workshop.
    • Discussions focused on shared experiences and lessons learned from COVID-19 data visualization.
    • Analysis of visualization practices and their effectiveness in public health communication.

    Main Results:

    • Cross-disciplinary collaboration, including socio-technical expertise, is crucial.
    • Personalization and a deeper consideration of audience are vital for effective communication.
    • Coordinated communication pathways are necessary for timely information dissemination.

    Conclusions:

    • Future pandemic data visualization must be more inclusive and audience-focused.
    • Integrating socio-technical perspectives enhances visualization impact.
    • Strategic communication planning is key to leveraging data visualization effectively in public health crises.