LONG Wen, WANG Hui-wen, LI Da-peng. Simulation and Analysis of Probable SARS Recurrence[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 1-4.
Citation:
LONG Wen, WANG Hui-wen, LI Da-peng. Simulation and Analysis of Probable SARS Recurrence[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 1-4.
LONG Wen, WANG Hui-wen, LI Da-peng. Simulation and Analysis of Probable SARS Recurrence[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 1-4.
Citation:
LONG Wen, WANG Hui-wen, LI Da-peng. Simulation and Analysis of Probable SARS Recurrence[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 1-4.
By defining an indicator index system that depicts the epidemic situation of Severe Acute Respiratory Syndrome(SARS), this paper presents a predictive modeling of SARS epidemic. The simulation about the epidemic situation of SARS recurrence is studied based on this modeling. Accordingly the time limit for healthcare system to take actions if SARS recurs is suggested. The result of research indicates that SARS can get control at the beginning if effective actions are taken in time, hereby large-scale prevalence of SARS will be avoided.
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