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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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Spirochetes, unique bacteria in the phylum Spirochaetes, are gram-negative, motile, tightly coiled, slender, and flexible. They inhabit aquatic sediments and animals, with some causing diseases like syphilis. Spirochetes are classified into eight genera based on habitat, pathogenicity, phylogeny, and characteristics.Their distinctive motility arises from endoflagella, located within the cell’s periplasm. These endoflagella anchor at the cell poles and extend along the cell length, encased...
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LegionellaDB - A Database on Legionella Outbreaks.

Inês G Gonçalves1, Henrique S Fernandes2, Ana Melo3

  • 1Faculty of Engineering, Department of Chemical Engineering, University of Porto, Porto, Portugal; M2BE, Aragon Institute of Engineering Research, Mechanical Engineering Department, University of Zaragoza, Zaragoza, Spain.

Trends in Microbiology
|February 22, 2021
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Summary

LegionellaDB is a new online database detailing Legionella outbreaks, compiled from scientific literature. It allows users to explore, contribute to, and analyze Legionella outbreak data.

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Area of Science:

  • Microbiology and Epidemiology
  • Infectious Disease Surveillance

Background:

  • Legionella bacteria cause Legionnaires' disease, a severe pneumonia.
  • Outbreak data is crucial for understanding transmission and prevention.
  • A centralized, accessible resource for Legionella outbreak information was lacking.

Purpose of the Study:

  • To introduce LegionellaDB, the first comprehensive database of Legionella outbreaks.
  • To provide a dynamic and extensible platform for accessing and analyzing outbreak data.
  • To facilitate research and public health efforts related to Legionella.

Main Methods:

  • Metadata analysis of peer-reviewed manuscripts from PubMed and SCOPUS.
  • Database development with features for searching, data submission, visualization, and download.
  • Online maintenance and curation of outbreak information.

Main Results:

  • LegionellaDB is established as a unique online resource.
  • The database enables detailed searching and statistical visualization of outbreaks.
  • Users can contribute data, enhancing the database's comprehensiveness.

Conclusions:

  • LegionellaDB serves as a valuable tool for researchers and public health professionals.
  • The database supports improved understanding and management of Legionella outbreaks.
  • Continuous updates and user contributions will enhance its utility.