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Communicable diseases platform (CDP): Real-Time clinical analytics for infections.

Manuri De Silva1, Alice Voskoboynik2, Sailavan Ramesh2

  • 1Department of General Medicine, The Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia.

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|January 15, 2026
PubMed
Summary

The Communicable Diseases Platform (CDP) integrates clinical and demographic data for pediatric respiratory illnesses, improving surveillance. This dynamic platform aids in predicting disease burden and enhancing outbreak control for better public health management.

Keywords:
Communicable diseasesDataEpidemiologyInfectionsNotifiablePlatformSurveillance

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Area of Science:

  • Pediatric infectious diseases
  • Public health surveillance
  • Health informatics

Background:

  • Communicable diseases, particularly respiratory infections, are a major cause of pediatric hospitalizations.
  • Current surveillance methods for communicable diseases are often manual, retrospective, and lack integrated demographic and clinical data.
  • The Communicable Diseases Platform (CDP) was developed to address these limitations by aggregating comprehensive data.

Purpose of the Study:

  • To introduce the Communicable Diseases Platform (CDP) as a novel data aggregation tool.
  • To demonstrate the CDP's capability in integrating demographic and clinical data for communicable disease surveillance in a pediatric hospital setting.
  • To highlight the potential of the CDP in improving understanding of disease patterns and facilitating outbreak control.

Main Methods:

  • The CDP pilot phase involved extracting de-identified, aggregated data from electronic medical records for pediatric patients with positive respiratory swabs.
  • Data spanned from 2016 to 2025, encompassing positivity rates and cumulative hospital admissions.
  • A dashboard was developed for data visualization, allowing filtering by pathogen, age, presentation type, and interventions.

Main Results:

  • The CDP successfully aggregated both demographic and clinical data for communicable disease presentations.
  • The dashboard provided insights into positivity rates and hospital admission trends.
  • Data filtering capabilities allowed for detailed analysis of specific pathogens, age groups, and interventions.

Conclusions:

  • The CDP enhances the understanding of clinical profiles, disease burden, and seasonal patterns of communicable diseases in children.
  • This improved surveillance supports more effective outbreak control, patient flow prediction, and clinical monitoring.
  • Future developments aim to integrate immunization data and employ machine learning for real-time vaccine effectiveness and predictive disease modeling.