
Epidemiology and Vaccinal Prevention, Год журнала: 2025, Номер 24(1), С. 59 - 67
Опубликована: Март 9, 2025
Relevance . Hospital-acquired acute respiratory viral infections (ARVI) are a significant cause of high morbidity in pediatric hospitals, especially departments for small children. To control HCAI, there is still need evidence-based anti-epidemic and preventive measures. Mathematical modeling known to be an attractive approach objectively assessing infection In this study, we demonstrate effectiveness timely isolation the source (i.e. infected individuals) which might revealed large hospital. Materials & Methods We developed agent-based model spread nosocomial assess patients with ARVI. Primary data on incidence ARVI, number beds, frequency multidisciplinary non-infectious children's hospital at regional level were used. The also implements ability agent change department. simulate measure, included simulation execution local algorithm actions by doctor event detection patient ARVI (50% probability non-compliance isolation; almost all sources isolated; 100% decision-making, ideal option). Results maximum absolute daily increase cases observed scenarios where rules isolating violated; here median equaled 32.9 (IQR 32.4-33.4) cases, ranging from 4.0 34.8 cases. With indicator decreased: 50% source, was 5.7 (5-6.5); 90% – 3.1 (2.8-3.6); 2.9 (2.6-3.4) According estimates, when comparing over time, noted their unequal involvement epidemic process wave-like infection. Statistically differences predicted different probabilities revealed. Conclusion used This allowed us correctly describe among hospital, as well our model, took into account various options interaction agents each other. addition, fit importations studied how they could facilitate solid evidence obtained identified healthcare settings, can justify
Язык: Английский