THE APPLICATIONS OF MULTILEVEL STRUCTURAL EQUATION MODELING IN PUBLIC HEALTH SURVEY
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Abstract
This article shows that the application of concept of public health survey of health conditions using Multilevel Structural Equation Model (MSEM) with health survey. MSEM was chosen in order to be farsighted the digital disrupted and pandemic of coronavirus-19 disease among the change of technology, health survey with new normal that these have been little and unclear. This study was to the explained of individual-between levels, and strength/weakness of MSEM in public health survey. Methods: Public health survey was chosen in order to handle data transformation.
The results showed that MSEM at the individual level is determined by public health survey about at 50- 100 groups, and the between level is determined by the health facilities about 450-9800 peoples. The performance on MSEM showed improvement, especially on the efficiency of the new modeling needed for digital disruptions. It helped to reduce the complexity in health conditions. MSEM have performed the prevention and control of pandemics, all health behaviors, quality of life, life expectancy, cancer, chronic diseases, occupation health and safety. These should also be applied to the public health survey for the novel of performance variables, the body of knowledge, the application among active surveillance in digital disruption.
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