Modeling on Social Health Literacy Level Prediction

Area of Science:

• Public Health
• Environmental Health
• Health Policy

Background:

• Growing emphasis on resident health and a shift from disease-centered to health-centered healthcare.
• The critical need to enhance urban health levels and identify influencing factors.

Purpose of the Study:

• To quantify the relationship between residents' health literacy and various indicators.
• To develop a predictive model for urban health literacy.
• To identify key factors affecting health literacy.

Main Methods:

• Selection of appropriate indicators and development of a mathematical model.
• Establishment of the Social Prediction Model (SPM) using reciprocal linear combination.
• Qualitative prediction and quantitative analysis of citizen health literacy.

Main Results:

• The SPM model effectively predicts regional health literacy based on key variables.
• Environmental factors were identified as the most significant influence on health literacy.
• Experimental consistency confirmed the model's effectiveness and robustness.

Conclusions:

• The SPM model provides a timely and reasonable framework for measuring resident health literacy.
• Understanding environmental impacts is crucial for improving public health.
• The study supports a proactive, health-centered approach to urban health management.