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DotMapper: an open source tool for creating interactive disease point maps.

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This summary is machine-generated.

Interactive dot mapping aids tuberculosis investigations by visualizing case data. This user-friendly application helps identify geographic patterns and epidemiological links, improving disease control efforts.

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Area of Science:

  • Epidemiology
  • Public Health
  • Geographic Information Systems (GIS)

Background:

  • Molecular strain typing enhances understanding of tuberculosis (TB) epidemiology and control.
  • Investigating molecular clusters to detect unidentified TB cases remains a challenge.
  • Interactive dot mapping offers a potential solution for identifying epidemiological links.

Purpose of the Study:

  • To develop a user-friendly application for interactive disease dot mapping.
  • To facilitate the identification of geographic patterns and epidemiological links in TB cases.

Main Methods:

  • Developed a flexible application using R and Shiny, a web application framework.
  • The application generates interactive maps displaying case locations and epidemiological characteristics.
  • Features include color-coding by variables, filtering by characteristics and date, and spatial-temporal analysis.

Main Results:

  • The application enables rapid production of disease dot maps without requiring specialist GIS training.
  • Identifies geographic patterns in TB molecular clusters, aiding hypothesis generation for disease transmission.
  • Facilitates outlier identification and guides targeted public health control measures.

Conclusions:

  • DotMapper is a user-friendly tool for visualizing TB case data and epidemiological features.
  • Enhanced understanding of TB transmission through this application can improve case detection and reduce public health impact.
  • The system is flexible with broad international potential for geo-coded health investigations.