Predicting the Prevalence of Diabetes in Wisconsin Using System Dynamics
ISEF · 2015 Biomedical Engineering
Overview
Diabetes is a disease that affects 250 million people worldwide, and is one of the fastest growing diseases. Once acquired, the patient is faced with lifelong medication, treatment, and risks for organ failure. The incidence of diabetes in the US mirrors the worldwide trend. However, projections for diabetes in Wisconsin are not readily available. This study looks to predict the prevalence of diabetes in Wisconsin over the next 25 years. It uses a simulation technique called system dynamics to examine the prevalence of diabetes in Wisconsin. The use of a simulation technique provides an opportunity to model progress of the disease through different stages, and also understand the implications of organ failure in extreme cases of the disease. The simulation is run for a variety of scenarios. The effect of changes in the level of obesity is examined. In addition, the impact of alternative health care coverage is also studied. The simulation is also run for an extended period to check for convergence. The results suggest that the number of diabetics in Wisconsin will increase steadily over the next few years. The numbers will increase dramatically if the obesity epidemic is not turned around. Overall, unless there is a change in current patterns, diabetes in Wisconsin will increase considerably, though it may lag the prevalence for the US.
Competition history
- ISEF 2015
Resources
Related projects
CWSF · 2026
In Silico Diabetes Management and Prediction: A Personalized Hybrid Physics-ML System
ISEF · 2016
A Biophysical Model of the Neuroendocrine Circuit in the Pancreas: Towards Better Diabetes Care
ISEF · 2023
DiaVest II: A Non-Invasive Glucose Monitoring System for Diabetes Management
ISEF · 2021
Wearable Risk Indicator via Sugar Tracking (WRIST): A Novel, Wearable, Non-Invasive Glucose Monitoring System via Quantitative Spectroscopy Analysis
ISEF · 2022
Creating a Low-Cost Non-Invasive Blood Glucose Monitoring and Automatic Insulin Injection System With an Artificial Neural Network and Raspberry Pi
ISEF · 2019
Drugs to Defeat Diabetes: Comparing Diabetes Drug Treatment Efficacy after Metformin using Big Data
ISEF · 2025
Epigenetic Analysis for Diabetes Risk and Resiliency
JSHS · 2025
Decoding Diabetes: Harnessing AI to Accurately Predict Real-Time and Future Blood Glucose Levels for Diabetes Management Using Diet, Exercise, Insulin Intake, and Heart Rate Variability
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: Regeneron International Science and Engineering Fair