Developing a Web Platform on Wastewater Surveillance data for Public Health

Session Number

CMPS 07

Advisor(s)

Professor Rigel Gjomemo; Discovery Partners Institute

Discipline

Computer Science

Start Date

17-4-2025 11:25 AM

End Date

17-4-2025 11:40 AM

Abstract

As research in the health and medicine field continues to evolve, public healthsurveillance is a way to monitor the spread of diseases within communities. Providing data to the public can reduce disease transmission and support informed decision-making.This project focuses on analyzing and visualizing wastewater data to track trends of COVID-19, influenza A & B, and RSV across approximately 80 locations in Illinois. By leveraging an open-access public database, the project ensures privacy by aggregating data at the community level.The primary objective is to develop an interactive website that is updated periodically to provide the general public and public health officials with wastewater surveillance data. This platform will feature statistical modeling and data visualization techniques to illustrate trends in pathogen levels over time and identify regional similarities and disparities.

The long-term goal of this work is to develop a cost-efficient, privacy-preserving tool that increases community awareness and supports data-driven public health interventions.

Future improvements will focus on enhancing multi-location mapping, optimizing data processing, and ensuring user-friendly access to critical information an analysis.

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Apr 17th, 11:25 AM Apr 17th, 11:40 AM

Developing a Web Platform on Wastewater Surveillance data for Public Health

As research in the health and medicine field continues to evolve, public healthsurveillance is a way to monitor the spread of diseases within communities. Providing data to the public can reduce disease transmission and support informed decision-making.This project focuses on analyzing and visualizing wastewater data to track trends of COVID-19, influenza A & B, and RSV across approximately 80 locations in Illinois. By leveraging an open-access public database, the project ensures privacy by aggregating data at the community level.The primary objective is to develop an interactive website that is updated periodically to provide the general public and public health officials with wastewater surveillance data. This platform will feature statistical modeling and data visualization techniques to illustrate trends in pathogen levels over time and identify regional similarities and disparities.

The long-term goal of this work is to develop a cost-efficient, privacy-preserving tool that increases community awareness and supports data-driven public health interventions.

Future improvements will focus on enhancing multi-location mapping, optimizing data processing, and ensuring user-friendly access to critical information an analysis.