Related Experiment Video
Updated: Jun 25, 2025
07:31
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.1K
Using a general practice research database to assess the spatio-temporal COVID-19 risk
Oana Petrof1, Thomas Neyens2,3, Bert Vaes4
1I-Biostat, Hasselt University, Diepenbeek, Belgium. oana.petrof@uhasselt.be.
BMC Primary Care
|May 21, 2024
Summary
The Intego general practitioner database effectively tracks COVID-19 trends, similar to national data. This allows for detailed patient characteristic analysis, aiding public health pandemic response.
Area of Science:
- Epidemiology
- Public Health
- Health Informatics
Background:
- General practitioners (GPs) in Flanders initially collected COVID-19 data.
- The Intego registry captures detailed patient data from electronic medical records.
- National data from Sciensano lacked patient characteristics.
Purpose of the Study:
- To compare spatio-temporal COVID-19 modeling using Intego and Sciensano data.
- To assess Intego's capability in detecting epidemiological trends.
- To validate Intego data for future COVID-19 related research.
Main Methods:
- Spatio-temporal analyses were conducted at municipality and health sector levels.
- COVID-19 incidence spread was analyzed using two distinct data sources.
- Comparative analysis focused on the consistency of epidemiological trends.
Main Results:
- Both Intego and Sciensano data yielded comparable epidemiological results.
- Male sex was associated with decreased odds of COVID-19.
- Older age categories and comorbidities (kidney disease, heart disease, diabetes) increased COVID-19 odds.
Conclusions:
- The Intego database serves as a valuable alternative data source during pandemics.
- Findings support public health officials in planning disease outbreak monitoring and control.
- Intego data enhances understanding of COVID-19 through detailed patient characteristics.
Related Concept Videos
01:18Steps in Outbreak Investigation
123
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:
123
01:40Archival Research
16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
01:26Introduction to Epidemiology
718
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
718
01:26Principles of Disease Surveillance
91
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...
91