Thank you for your feedback and question. Yes, I agree that the early symptoms of diabetes can overlap with other diseases, making syndromic surveillance challenging. So I have an idea to use AI to assist in screening for diabetes by combining symptom-based data with risk assessment information. For example, in Thailand, we have the Thai Risk Score developed by the Diabetes Association of Thailand. This approach can complement areas with limited access to laboratory diagnostics, enhance the accuracy of identifying high-risk individuals , and support early detection efforts.
The symptoms I plan to include in the syndromic surveillance system are derived from the IDF Diabetes Atlas (2021) and align with the typical symptoms of diabetes, such as:
1) Excessive thirst (polydipsia)
2) Frequent urination (polyuria) or bedwetting
3) Lack of energy or fatigue
4) Constant hunger
5) Sudden weight loss
6) Blurred vision
7) Diabetic ketoacidosis