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

Naturalistic Observations02:30

Naturalistic Observations

16.8K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
16.8K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

134
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
134
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

350
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...
350

You might also read

Related Articles

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

Sort by
Same author

The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study.

Journal of medical Internet research·2026
Same author

Characteristics of pediatric SARS-CoV-2 healthcare-associated infection outbreaks in Germany, 2020-2023: a retrospective observational study.

European journal of pediatrics·2025
Same author

Establishing Syndromic Surveillance of Acute Coronary Syndrome, Myocardial Infarction, and Stroke: Registry Study Based on Routine Data From German Emergency Departments.

JMIR public health and surveillance·2025
Same author

Towards a leptospirosis early warning system in northeastern Argentina.

Journal of the Royal Society, Interface·2023
Same author

Understanding COVID-19 reporting behaviour to support political decision-making: a retrospective cross-sectional study of COVID-19 data reported to WHO.

BMJ open·2023
Same author

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021.

Communications medicine·2022
Same journal

Another 10 years of PLOS Computational Biology: A data-driven reflection on trends in genomics research.

PLoS computational biology·2026
Same journal

Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.

PLoS computational biology·2026
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Nov 29, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

359

EventEpi-A natural language processing framework for event-based surveillance.

Auss Abbood1, Alexander Ullrich1, Rüdiger Busche2,3

  • 1Robert Koch Institute (RKI), Berlin, Germany.

Plos Computational Biology
|November 20, 2020
PubMed
Summary
This summary is machine-generated.

Automated natural language processing improves event-based surveillance (EBS) by extracting key outbreak data from informal sources. This framework enhances public health response by efficiently identifying and scoring relevant disease outbreak information.

More Related Videos

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.7K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.5K

Related Experiment Videos

Last Updated: Nov 29, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

359
Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.7K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.5K

Area of Science:

  • Public Health Informatics
  • Computational Epidemiology
  • Natural Language Processing

Background:

  • Event-based surveillance (EBS) relies on informal sources for detecting disease outbreaks, a process currently manual and time-consuming.
  • Public health institutes like the WHO and RKI manually screen numerous articles for relevant outbreak information.
  • Automating this media screening process is crucial for timely and efficient public health response.

Purpose of the Study:

  • To develop a natural language processing (NLP) framework for automated information extraction and relevance scoring to support EBS.
  • To gain insights into the factors that determine the relevance of outbreak-related articles.
  • To improve the efficiency and effectiveness of public health event detection.

Main Methods:

  • Scraped relevant sources (WHO Disease Outbreak News, ProMED) for EBS.
  • Utilized EpiTator for epidemiological named entity recognition to extract disease, country, date, and case counts.
  • Trained a naive Bayes classifier for date and case count extraction and a logistic regression model for relevance scoring using embeddings.

Main Results:

  • Successfully extracted key data (disease, country, date, case count) from outbreak articles.
  • Achieved a sensitivity of 0.82 and balanced accuracy of 0.61 for relevance scoring using logistic regression.
  • Integrated functionalities into the EventEpi web application for automated analysis and database population.

Conclusions:

  • The developed NLP framework significantly enhances event-based surveillance by automating information extraction and relevance scoring.
  • The EventEpi application provides a production-ready tool for improving public health outbreak detection.
  • Further improvements are possible with larger datasets and algorithm fine-tuning, but the current framework shows promising results for EBS.