Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway; Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Influenza Other Respir Viruses. 2013 Nov;7(6):1370-9. doi: 10.1111/irv.12125. Epub 2013 Jun 8.
During the wave 1 of the influenza A(H1N1)pdm09 virus, Norway appeared to be suffering from high mortality rates. However, by the end of the pandemic, it was widely reported that the number of deaths were much lower than previous years.
The mortality burden from influenza is often assessed by two different approaches: counting influenza-certified deaths and estimating the mortality burden using models. The purpose of this study is to compare the number of reported deaths with results from two different models for estimating excess mortality during the pandemic in Norway. Additionally, mortality estimates for the pandemic season are compared with non-pandemic influenza seasons.
Numbers on reported influenza A(N1h1)pdm09 deaths are gived by the Cause of Death Registry at Statistics Norway and an ad hoc registry at the Norwegian Institute of Public Health. Overall and Pnemumonia and Influenza certified mortality is modeled using Poission regression, adjusting for levels of reported influenza-like illness and seasonal and year-to-year variation.
Modelling results suggest that the excess mortality in older age groups is considerably lower during the pandemic than non-pandemic seasons, but there are indications of an excess beyond what was reported during the pandemic. This highlights the benefits of both methods and the importance of explaining where these numbers come from.
在甲型 H1N1pdm09 流感病毒的第 1 波疫情中,挪威似乎面临着高死亡率。然而,到流感大流行结束时,人们广泛报道称,死亡人数远低于前几年。
流感的死亡率负担通常通过两种不同的方法进行评估:统计流感认证死亡人数和使用模型估计死亡率负担。本研究的目的是比较报告的死亡人数与两种不同模型在挪威大流行期间估计超额死亡率的结果。此外,还将大流行季节的死亡率估计与非大流行流感季节进行了比较。
挪威统计局的死因登记处和挪威公共卫生研究所的专门登记处提供了甲型 H1N1pdm09 流感死亡报告的数量。使用泊松回归对总体和肺炎和流感认证死亡率进行建模,调整报告的流感样疾病水平以及季节性和逐年变化。
模型结果表明,大流行期间老年人群的超额死亡率明显低于非大流行季节,但有迹象表明,超额死亡率超过了大流行期间报告的水平。这突出了这两种方法的优势,以及解释这些数字来源的重要性。