Amidst the rapid pace of globalization and the rising density of populations, the prevalence of epidemic outbreaks has emerged as a heightened cause for apprehension. The emergence and spread of epidemic are determined by the coupling of multiple factors. Herewith, the method of text mining was used to extract these factors, including vaccination, detection, and physical protection. An evolution model considering multiple factors based on system dynamics theory was established to simulate epidemic dynamics. The results of numerical experiment showed that this model would effectively nowcast the epidemic dynamics. The heterogeneous efficacy of multiple interventions on containing the epidemic was estimated, where personal protection, the vaccination rate, and isolation control had negative feedback effects on epidemic evolution; physical protection showed the strongest effect while isolation presented the weakest ones. On this basis, countermeasures to effectively control the outbreak are summarized.