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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:

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Using Zebrafish Models of Human Influenza A Virus Infections to Screen Antiviral Drugs and Characterize Host Immune Cell Responses
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SeqMonitor: influenza analysis pipeline and visualization.

Norman Macdonald1, Donovan Parks, Robert Beiko

  • 1Faculty of Computer Science, Dalhousie University, Halifax, NS.

Plos Currents
|December 23, 2009
PubMed
Summary
This summary is machine-generated.

Researchers developed SeqMonitor, a system to manage and analyze daily influenza genome submissions. This tool aids in tracking viral polymorphisms geographically and temporally, crucial for public health and research.

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Area of Science:

  • Virology
  • Bioinformatics
  • Genomics

Background:

  • Increasing volume of influenza genome sequences submitted daily to public repositories.
  • Need for efficient data management and analysis tools for rapidly evolving viruses.
  • Challenges in tracking viral polymorphisms and their association with metadata.

Purpose of the Study:

  • To develop a system for managing and analyzing the growing influx of influenza sequence data.
  • To provide a framework for studying polymorphic associations with metadata.
  • To enable geographical and temporal tracking of viral polymorphisms.

Main Methods:

  • Development of an influenza sequence pipeline.
  • Creation of a polymorphism data warehouse.
  • Implementation of an interactive web-based analysis program (SeqMonitor).

Main Results:

  • A system capable of managing the flow of influenza sequence data.
  • A framework for studying associations between polymorphisms and metadata.
  • Tools for downloading data subsets and tracking polymorphisms over time and location.

Conclusions:

  • SeqMonitor provides a valuable resource for researchers and public health officials managing influenza data.
  • The system facilitates deeper understanding of viral evolution and spread.
  • Effective management of genomic data is essential for influenza surveillance.