Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

315
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:
315
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

316
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...
316
Infection01:20

Infection

9.8K
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
9.8K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.4K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
3.4K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.1K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.1K
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.2K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Network Pharmacology Study on the Active Ingredients and Potential Targets of <i>Tripterygium wilfordii</i> Hook for Treatment of Rheumatoid Arthritis.

Evidence-based complementary and alternative medicine : eCAM·2019
Same author

Size-Dependent Relaxation Processes of Photoexcited [ n]Cycloparaphenylenes ( n = 5-12): Significant Contribution of Internal Conversion in Smaller Rings.

The journal of physical chemistry. A·2019
Same author

NfiR, a New Regulatory Noncoding RNA (ncRNA), Is Required in Concert with the NfiS ncRNA for Optimal Expression of Nitrogenase Genes in Pseudomonas stutzeri A1501.

Applied and environmental microbiology·2019
Same author

A novel homolateral and dicationic AIEgen for the sensitive detection of casein.

The Analyst·2019
Same author

Terahertz Oscilloscope for Recording Time Information of Ultrashort Electron Beams.

Physical review letters·2019
Same author

Flexible Transparent Organic Artificial Synapse Based on the Tungsten/Egg Albumen/Indium Tin Oxide/Polyethylene Terephthalate Memristor.

ACS applied materials & interfaces·2019

Related Experiment Video

Updated: Nov 13, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.6K

Prevention and Control of Pathogens Based on Big-Data Mining and Visualization Analysis.

Cui-Xia Chen1,2, Li-Na Sun3, Xue-Xin Hou3

  • 1National Research Institute for Family Planning, Beijing, China.

Frontiers in Molecular Biosciences
|March 15, 2021
PubMed
Summary

This study introduces a big data framework for analyzing pathogen genomes to combat infectious diseases. It aids in identifying new pathogens and understanding virulence and drug resistance for better control.

Keywords:
big data miningdrug-resistancegenome analysispathogen identificationvirulencevisualization

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.1K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.3K

Related Experiment Videos

Last Updated: Nov 13, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.6K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.1K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.3K

Area of Science:

  • Genomics
  • Bioinformatics
  • Infectious Disease Research

Background:

  • Infectious diseases cause significant morbidity and mortality globally.
  • Antibiotic misuse fuels drug-resistant strains, escalating health threats.
  • Pathogen mutation and rapid spread necessitate advanced detection and analysis methods.

Purpose of the Study:

  • To develop a genome information visualization analysis framework using big data mining.
  • To enhance the identification and understanding of infectious pathogens at a molecular level.
  • To support infectious disease prevention, control, and clinical research.

Main Methods:

  • Genome annotation of four key pathogens (Fusobacterium, Streptococcus, Neisseria, Streptococcus salivarius).
  • Core genome phylogeny analysis and comparative genomic structure analysis.
  • Prediction of virulence and resistance genes/factors, including pathogenic mechanisms and signaling pathways.

Main Results:

  • A comprehensive framework integrating macro (phylogeny) and micro (genome structure) perspectives.
  • Identification of virulence and drug-resistance characteristics through predictive analysis.
  • Demonstrated utility in rapid pathogen identification and strain recommendation.

Conclusions:

  • The proposed framework facilitates rapid identification of novel or unknown pathogens.
  • It aids in understanding pathogen evolution, virulence, and antimicrobial resistance.
  • The approach supports evidence-based strategies for infectious disease management and research.