Abstract

Purpose: The purpose of this study was to examine how epidemiological factors, vaccination parameters, and informatics infrastructure collectively shape the effectiveness of optimized vaccination strategies through an informatics-based simulation perspective. The study aimed to integrate these three domains into a unified framework to understand their combined influence on vaccination outcomes. Method: A quantitative, cross-sectional survey design was employed, and data were collected from 157 respondents with knowledge of public health and vaccination processes. A structured questionnaire measured epidemiological factors, vaccination parameters, informatics infrastructure, and strategy effectiveness. Data were analyzed using SPSS, employing descriptive statistics, chi-square tests, and regression analysis to identify significant relationships among variables. Findings: Results showed that epidemiological factors (infection rate, recovery rate, transmission dynamics), vaccination parameters (efficacy, rate, coverage), and informatics infrastructure (data integration, system efficiency, real-time access) were all significantly associated with vaccination strategy effectiveness. Regression findings confirmed all three dimensions as strong predictors, demonstrating their combined influence on improved coverage, infection reduction, and resource efficiency. Originality/Implications: This study provides a novel, integrated framework linking epidemiological, operational, and informatics dimensions to vaccination strategy optimization. The findings highlight the importance of real-time data systems and simulation-based planning for improving vaccination outcomes and strengthening public health preparedness.