Serfling回归模型在深圳市流感超额死亡估计中的应用  

Application of Serfling cyclical regression model in the estimation of influenza-associated excess mortality in Shenzhen

作　　者：黄智峰 刘晓剑[2] 吴永胜[2] 杨连朋 邹宇华 李烨[4] 蔡云鹏[4] 

机构地区：[1]广东药科大学公共卫生学院社会医学教研室,广东广州510310 [2]深圳市疾病预防控制中心信息科,广东深圳518000 [3]汕头大学医学院伤害预防研究中心,广东汕头515000 [4]中国科学院深圳先进技术研究院生物医学信息技术研究中心,广东深圳518000

出　　处：《中华疾病控制杂志》2017年第11期1170-1174,共5页Chinese Journal of Disease Control & Prevention

基　　金：国家高技术研究发展计划(2015AA020109)

摘　　要：目的运用Serfling回归模型评估深圳市2013-2015年深圳市因流感引起的死亡负担,为了解深圳市流感的流行程度和制定疫苗接种策略提供参考依据。方法收集深圳市2013-2015年根本死因为全死因(allcause,AC)、呼吸和循环系统疾病(respiratory and circulatory disease,R&C)、流感和肺炎(pneumonia and influenza,P&I)三类死亡数据,并划分全年龄组、<65岁组和≥65岁组,分别拟合Serfling回归模型,估计深圳市2013-2015年的超额死亡数和超额死亡率。结果 2013-2015年用AC估计的深圳市年平均流感超额死亡数为652.80人,年均超额死亡率为6.11/10万。用R&C估计的深圳市年平均流感超额死亡数为449.78人,年均超额死亡率为4.21/10万。用P&I估计的深圳市年平均流感超额死亡数为44.94人,年均超额死亡率为0.42/10万。结论 Serfling回归模型显示老年人是流感超额死亡发生的高危人群,尤其是已患有呼吸和循环系统疾病的人群。Objective To estimate the excess mortality caused by influenza in Shenzhen from 2013 to 2015,in order to provide scientific reference for understanding the epidemic characteristics of influenza and formulating the strategy of vaccination. Methods All reported influenza deaths in Shenzhen from 2013 to 2015 were collected and divided into three groups,including all-age, 65 years old and ≥65 years old groups. Based on the data of all cause deaths（ AC）,respiratory and circulatory deaths（ RC） and pneumonia and influenza deaths（ PI）,age-specific Serfling cyclical regression model was established to estimate the influenza-associated excess mortality and death numbers for three groups. Results From 2013 to 2015,the AC-based estimates of the annually averaged excess death and mortality due to influenza were652. 80 and 6. 11 per 100 000 person years respectively. The RC-based estimates excess death and mortality due to influenza were 449. 78 and 4. 21 per 100 000 person years respectively. The PI-based estimates excess death and mortality due to influenza were 44. 94 and 0. 42 per 100 000 person years respectively. Conclusions Serfling cyclical regression model shows that the elderly,especially those already suffer from respiratory and circulatory system diseases are the high-risk groups of excess death due to influenza.

关 键 词：流行性感冒 流行病学方法 死亡率 

分 类 号：R183[医药卫生—流行病学] R181[医药卫生—公共卫生与预防医学]