Chun Byung-Chul
Department of Preventive Medicine, Korea University Medical College.
J Prev Med Public Health. 2005 Nov;38(4):379-85.
The impact of the next influenza pandemic is difficult to predict. It is dependent on how virulent the virus is, how rapidly it spreads from population to population, and the effectiveness of prevention and response efforts. Despite the uncertainty about the magnitude of the next pandemic, estimates of the health and economic impact remain important to aid public health policy decisions and guide pandemic planning for health and emergency sectors. Planning ahead in preparation for an influenza pandemic, with its potentially very high morbidity and mortality rates, is essential for hospital administrators and public health officials. The estimation of pandemic impact is based on the previous pandemics--we had experienced at least 3 pandemics in 20th century. But the epidemiological characteristics--ie, start season, the impact of 1st wave, pathogenicity and virulence of the viruses and the primary victims of population were quite different from one another. I reviewed methodology for estimation and modelling of pandemic impact and described some nations's results using them in their national preparedness plans. And then I showed the estimates of pandemic influenza impact in Korea with FluSurge and FluAid. And, I described the results of pandemic modelling with parameters of 1918 pandemic for the sake of education and training of the first-line responder health officials to the epidemics. In preparing influenza pandemics, the simulation and modelling are the keys to reduce the uncertainty of the future and to make proper policies to manage and control the pandemics.
下一次流感大流行的影响难以预测。这取决于病毒的毒性、在人群之间传播的速度以及预防和应对措施的有效性。尽管下一次大流行的规模存在不确定性,但对健康和经济影响的估计对于协助公共卫生政策决策以及指导卫生和应急部门的大流行规划仍然很重要。鉴于流感大流行可能导致非常高的发病率和死亡率,提前为其做准备对医院管理人员和公共卫生官员来说至关重要。对大流行影响的估计是基于以往的大流行——20世纪我们至少经历了3次大流行。但每次大流行的流行病学特征——即开始季节、第一波疫情的影响、病毒的致病性和毒性以及主要受害人群——彼此差异很大。我回顾了大流行影响的估计和建模方法,并描述了一些国家在其国家防备计划中使用这些方法的结果。然后我展示了韩国使用FluSurge和FluAid对大流行性流感影响的估计。并且,为了对一线应对疫情的卫生官员进行教育和培训,我描述了以1918年大流行参数进行的大流行建模结果。在为流感大流行做准备时,模拟和建模是减少未来不确定性以及制定适当政策来管理和控制大流行的关键。