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Waterborne Disease Outbreak Detection: A Simulation-Based Study.

Damien Mouly1, Sarah Goria2, Michael Mounié3

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This summary is machine-generated.

A new algorithm using health insurance data effectively detects waterborne disease outbreaks (WBDOs) in France. This method significantly improves upon traditional surveillance, offering a promising tool for public health.

Keywords:
health insurance datasimulation studyspace–time detectionwaterborne disease outbreak

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Area of Science:

  • Epidemiology
  • Public Health Surveillance
  • Health Informatics

Background:

  • Waterborne disease outbreaks (WBDOs) are a persistent public health concern in developed nations.
  • Current WBDO surveillance in France relies on voluntary reporting of acute gastrointestinal infections (AGIs), exhibiting low sensitivity.
  • There is a need for improved methods to detect WBDOs effectively.

Purpose of the Study:

  • To evaluate the performance of a novel detection algorithm for WBDOs using health insurance data.
  • To assess the algorithm's sensitivity and positive predictive value in simulated outbreak scenarios.
  • To identify factors influencing the detection of WBDOs.

Main Methods:

  • Development of a space-time detection algorithm utilizing health insurance data.
  • Simulation of daily baseline counts of acute gastrointestinal infections (AGIs).
  • Superimposition of 2,000 simulated WBDO signals onto baseline data for performance evaluation.
  • Calculation of sensitivity (Se) and positive predictive value (PPV) for the algorithm.
  • Multivariate regression analysis to determine factors associated with WBDO detection.

Main Results:

  • The algorithm achieved a sensitivity of 73.0%, detecting nearly three-quarters of simulated WBDOs.
  • The positive predictive value was high at 90.5%, indicating that most detected signals were true WBDOs.
  • Detection probability increased with the size of the simulated waterborne disease outbreak.

Conclusions:

  • The developed detection algorithm demonstrates significant value for enhancing WBDO surveillance in France.
  • The findings support the implementation of this algorithm into a national surveillance system.
  • Utilizing health insurance data offers a sensitive and specific approach to detecting waterborne disease outbreaks.