Modeling on Social Health Literacy Level Prediction

Abstract

Nowadays, the health level of residents has become the focus of people’s attention. Under the background of the development of health service from “disease-centered” to “health-centered,” it is very important to improve the level of urban health and clarify the factors affecting urban health. Therefore, this paper quantifies the relationship between residents’ health literacy level and environment, average life expectancy, infectious disease mortality, and other indicators by selecting appropriate indicators and establishing a mathematical model. Based on the reciprocal linear combination of the collected index data and the corresponding health level value, the prediction model of social health literacy level (SPM) was established, and the qualitative prediction and quantitative analysis of citizens’ health literacy level were studied in depth. Based on the SPM model, we can roughly predict the level of health literacy in a region only based on the main variables identified in this paper. The consistency of the experiment shows that the model is effective and robust, and it reveals that environmental factors are the most important factors affecting residents’ health literacy level. The actual data show that THE SPM model is a timely and reasonable framework to measure the health literacy level of residents.