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Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

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Principles of Disease Surveillance01:26

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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Automated Microbial Diagnostics01:24

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Related Experiment Video

Updated: May 12, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

Innovative technology for web-based data management during an outbreak.

Shamir N Mukhi1, Tammy L Stuart Chester, Justine DA Klaver-Kibria

  • 1Canadian Network for Public Health Intelligence ; National Microbiology Laboratory - Public Health Agency of Canada.

Online Journal of Public Health Informatics
|April 10, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces Web Data, a new technology for managing outbreak data efficiently. It improves data access and collection, aiding faster outbreak response and investigation.

Keywords:
DataEpidemiologyInformaticsIntegrationLaboratoryOutbreakSurveillance

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Area of Science:

  • Public Health Informatics
  • Epidemiology
  • Health Data Management

Background:

  • Effective outbreak investigation and response are hindered by fragmented data collection and poor linkage of clinical, epidemiological, and laboratory information.
  • Current systems often lack automation and integration, leading to delays and inefficiencies during public health emergencies.

Purpose of the Study:

  • To describe an innovative web-based technology, Web Data, designed for rapid, interactive, and adaptive data management during outbreaks.
  • To evaluate the benefits and limitations of the Web Data technology through user feedback from its implementation during the 2009 H1N1 pandemic.

Main Methods:

  • Development of a web-based data management system (Web Data) for outbreak situations.
  • Implementation and evaluation of Web Data during the 2009 H1N1 pandemic by the Winnipeg Regional Health Authority and the Provincial Laboratory for Public Health of Alberta.
  • Data collection on user experiences via a questionnaire to identify benefits and limitations.

Main Results:

  • Key benefits identified include improved secure data access, increased efficiency, reduced errors, enhanced electronic data collection and transfer, rapid database modification, and user-defined data extraction.
  • Limitations highlighted areas for improvement, such as better understanding of privacy policies and enhanced data sharing capabilities between jurisdictions to prevent duplicate entries.

Conclusions:

  • Web Data offers significant advantages for outbreak data management, improving efficiency and data accessibility.
  • Further development is needed to address privacy concerns and facilitate inter-jurisdictional data sharing for more robust public health surveillance.