An approach to model the interventions of unconventional emergency

Aim at preventing, or controlling if prevention is not possible, the spread of disease. We model several types of commonly-used government interventions in order to quantify this research. Finally we computationally tested the models using an artificial campus. The results show: 1) Campus pandemics extinguish even without intervention 2) Small scale inoculation programs are ineffectual, but large scale inoculation programs will bring non-linear increases in benefits 3) Identifying and isolating the infectious and their `strong social group´ quickly dramatically lowers spread 4)Isolation Plus Close Public-space Intervention will decrease the peak value and the last time. This study can support quantitative experimentation and prediction of infectious diseases within predefined areas, and assessment of intervention strategies.