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Modeling on Social Health Literacy Level Prediction

机译:社会健康素养水平预测建模

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摘要

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.
机译:如今,居民的健康水平已成为人们关注的焦点。在卫生服务从“以病为中心”向“以健康为中心”发展的背景下,提高城市卫生水平,明确影响城市卫生的因素具有重要意义。因此,本文通过选择合适的指标并建立数学模型,量化了居民健康素养水平与环境、平均预期寿命、传染病死亡率等指标之间的关系。基于采集到的指标数据与相应健康水平值的倒数线性组合,建立了社会健康素养水平(SPM)预测模型,对公民健康素养水平进行了定性预测和定量分析。基于SPM模型,我们仅根据本文确定的主要变量,就可以大致预测一个地区的健康素养水平。实验的一致性表明,该模型是有效且鲁棒的,表明环境因素是影响居民健康素养水平的最重要因素。实际数据表明,SPM模型是衡量居民健康素养水平的及时合理框架。

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