Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

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...

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Introduction to Epidemiology

Introduction to Epidemiology

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,...

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Study Designs in Epidemiology

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

You might also read

Related Articles

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

Sort by

Same author

Impact of Age on Hospital Outcomes Following Minimally Invasive Posterior Lumbar Interbody Fusion: Retrospective Analysis of the Nationwide Inpatient Sample Database from 2016 to 2020.

JMIR medical informatics·2026

Same author

Factors Associated With Demoralization in Patients With Parkinson's Disease.

Journal of the Academy of Consultation-Liaison Psychiatry·2025

Same author

Impact of nicotine product use on outcomes of patients receiving cervical disc arthroplasty: a propensity score analysis of the united States nationwide inpatient sample 2005-2020.

Journal of orthopaedic surgery and research·2025

Same author

The Interrelationship of Benefit Finding, Demoralization, and Stigma among Patients with Parkinson's Disease and Their Caregivers.

Healthcare (Basel, Switzerland)·2024

Same author

Substantial discrepancies in dengue case estimates between the Global Burden of Disease Study and Taiwan Centers for Disease Control.

Journal of travel medicine·2024

Same author

The emergence and successful elimination of SARS-CoV-2 dominant strains with increasing epidemic potential in Taiwan's 2021 outbreak.

Heliyon·2023

Search research articles

Related Experiment Video

Updated: Jun 4, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Evaluation of an adjustable epidemiologic information system.

Jiunn-Shyan Julian Wu¹, Fu-Yuan Shih, Chan-Hsien Chiu

¹Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China.

|February 8, 2011

Summary

This summary is machine-generated.

Taiwan's Adjustable Epidemiologic Information System (AEIS) significantly reduced disease response times and improved public health surveillance. This system enhances infectious disease control by streamlining data collection and analysis for faster interventions.

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Related Experiment Videos

Last Updated: Jun 4, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

Public Health
Epidemiology
Health Informatics

Background:

Established in 2006, the Adjustable Epidemiologic Information System (AEIS) in Taiwan aimed to improve infectious disease epidemic response.
AEIS was integrated into the existing public health network to facilitate timely public health actions.

Purpose of the Study:

To evaluate the performance of the AEIS from 2006 to 2008.
To assess the impact of AEIS on response times and public health outcomes for infectious diseases.

Main Methods:

Performance evaluation based on response times (RT) and public health impact.
Analysis of personnel response time (PRT) and personnel-system interface (PSI) metrics.
Assessment of epidemic cluster duration for diseases like rubella.

Main Results:

AEIS implementation led to a significant reduction in overall response times, primarily due to decreased PRT.
Personnel-system interface (PSI) for new infectious diseases (H5N1, chikungunya) was drastically improved compared to SARS.
A significant shortening trend in the duration of rubella epidemic clusters was observed, correlating with reduced PRT.

Conclusions:

AEIS is a novel, well-integrated tool for infectious disease control within Taiwan's public health infrastructure.
The system offers flexible data collection, integration, and analysis, improving response efficiency and early case identification.
AEIS shows potential for broader application in managing other acute public health events requiring coordinated data management and action.