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

102
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:
102
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

478
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...
478

You might also read

Related Articles

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

Sort by
Same author

Advances in Clinical Cardiology 2025: A Summary of Key Clinical Trials.

Advances in therapy·2026
Same author

Safety of Sildenafil in Premature Infants with Severe Bronchopulmonary Dysplasia (SILDI-SAFE): A Randomized Controlled Trial.

The Journal of pediatrics·2026
Same author

Respiratory Readmissions in First 3 Years of Life for Children with Bronchopulmonary Dysplasia.

The Journal of pediatrics·2026
Same author

Outpatient assessment of bronchopulmonary dysplasia using point of care lung ultrasound.

Frontiers in pediatrics·2026
Same author

A revealing rash: Contact allergic dermatitis following the insertion of an implantable loop recorder device - A case report.

HeartRhythm case reports·2026
Same author

Investigation of Biomarker Response to SGLT2 Inhibition in Heart Failure (SiN-HF).

Cardiovascular drugs and therapy·2025

Related Experiment Video

Updated: May 25, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K

Constructing a global human epidemic database using open-source digital biosurveillance.

Rinette Badker1, Naama Kipperman2, Benjamin Ash2

  • 1Ginkgo Bioworks Inc., Boston, USA. rbadker@ginkgobioworks.com.

Scientific Data
|February 26, 2025
PubMed
Summary

A comprehensive dataset details over 3300 human epidemic events across 237 countries, aiding in understanding disease emergence and outbreak dynamics.

More Related Videos

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.0K
High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
11:00

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

11.9K

Related Experiment Videos

Last Updated: May 25, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K
Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.0K
High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
11:00

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

11.9K

Area of Science:

  • Epidemiology
  • Infectious Disease Dynamics
  • Public Health Surveillance

Background:

  • Global surveillance systems generate vast amounts of data on infectious disease outbreaks.
  • Standardized, comprehensive datasets are crucial for analyzing epidemic trends and emergence patterns.
  • Existing data often lack consistent structure, hindering large-scale epidemiological analysis.

Purpose of the Study:

  • To present and analyze a curated subset of a large-scale outbreak dataset, focusing on human epidemic events.
  • To introduce a standardized methodology for structuring epidemiological data to ensure consistency and reliability.
  • To provide a robust dataset for exploring outbreak dynamics and disease emergence.

Main Methods:

  • Development of a comprehensive dataset from official, open-source surveillance reports.
  • Inclusion of over 170 pathogens, 237 countries/territories, and >3300 events (1963-2023).
  • Focus on a subset of human epidemic events with onsets between 2015-2020.
  • Implementation of a specific methodology for consistent epidemiological data structuring.
  • Multiple rounds of manual and automated data review and validation for accuracy.

Main Results:

  • A structured dataset of human epidemic events from 2015-2020 has been compiled.
  • The dataset provides a reliable spatiotemporal view of outbreaks.
  • Data validation ensures accuracy and consistency across diverse events and pathogens.
  • The dataset encompasses a wide range of pathogens and geographical locations.

Conclusions:

  • The developed dataset offers an extensive and standardized resource for epidemiological research.
  • It is well-suited for descriptive epidemiology and investigating the dynamics of disease emergence.
  • The standardized approach enhances the reliability of spatiotemporal outbreak analysis.
  • This resource facilitates a deeper understanding of global epidemic patterns.