Yip Paul S F, Lam K F, Lau Eric H Y, Chau Pui-Hing, Tsang Kenneth W, Chao Anne
University of Hong Kong, People's Republic of China.
National Tsing Hua University, Hsinchu, Taiwan.
J R Stat Soc Ser A Stat Soc. 2005 Jan;168(1):233-243. doi: 10.1111/j.1467-985X.2004.00345.x. Epub 2004 Dec 15.
In an outbreak of a completely new infectious disease like severe acute respiratory syndrome (SARS), estimation of the fatality rate over the course of the epidemic is of clinical and epidemiological importance. In contrast with the constant case fatality rate, a new measure, termed the 'realtime' fatality rate, is proposed for monitoring the new emerging epidemic at a population level. A competing risk model implemented via a counting process is used to estimate the realtime fatality rate in an epidemic of SARS. It can capture and reflect the time-varying nature of the fatality rate over the course of the outbreak in a timely and accurate manner. More importantly, it can provide information on the efficacy of a certain treatment and management policy for the disease. The method has been applied to the SARS data from the regions affected, namely Hong Kong, Singapore, Toronto, Taiwan and Beijing. The magnitudes and patterns of the estimated fatalities are virtually the same except in Beijing, which has a lower rate. It is speculated that the effect is linked to the different treatment protocols that were used. The standard estimate of the case fatality rate that was used by the World Health Organization has been shown to be unable to provide useful information to monitor the time-varying fatalities that are caused by the epidemic.
在诸如严重急性呼吸综合征(SARS)这种全新传染病的爆发中,对疫情期间病死率的估算具有临床和流行病学意义。与固定的病死率不同,我们提出了一种名为“实时”病死率的新指标,用于在人群层面监测新出现的疫情。通过计数过程实现的竞争风险模型被用于估算SARS疫情中的实时病死率。它能够及时、准确地捕捉并反映疫情期间病死率随时间变化的特性。更重要的是,它能够提供有关该疾病某种治疗和管理策略疗效的信息。该方法已应用于受影响地区(即香港、新加坡、多伦多、台湾和北京)的SARS数据。除北京病死率较低外,估算出的死亡人数规模和模式基本相同。据推测,这种差异与所采用的不同治疗方案有关。世界卫生组织使用的病死率标准估算值已被证明无法为监测疫情导致的随时间变化的死亡情况提供有用信息。