Institute of Economics, Geography and Demography, Center for Humanities and Social Sciences, CCHS-CSIC, Spanish National Research Council, Madrid, Spain.
Division of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, GA; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD.
Ann Epidemiol. 2018 May;28(5):267-272. doi: 10.1016/j.annepidem.2017.12.009. Epub 2017 Dec 27.
Although the 1889-1890 influenza pandemic was one of the most important epidemic events of the 19th century, little is known about the mortality impact of this pandemic based on detailed respiratory mortality data sets.
We estimated excess mortality rates for the 1889-1890 pandemic in Madrid from high-resolution respiratory and all-cause individual-level mortality data retrieved from the Gazeta de Madrid, the Official Bulletin of the Spanish government. We also generated estimates of the reproduction number from the early growth phase of the pandemic.
The main pandemic wave in Madrid was evident from respiratory and all-cause mortality rates during the winter of 1889-1890. Our estimates of excess mortality for this pandemic were 58.3 per 10,000 for all-cause mortality and 44.5 per 10,000 for respiratory mortality. Age-specific excess mortality rates displayed a J-shape pattern, with school children aged 5-14 years experiencing the lowest respiratory excess death rates (8.8 excess respiratory deaths per 10,000), whereas older populations aged greater than or equal to 70 years had the highest rates (367.9 per 10,000). Although seniors experienced the highest absolute excess death rates, the standardized mortality ratio was highest among young adults aged 15-24 years. The early growth phase of the pandemic displayed dynamics consistent with an exponentially growing transmission process. Using the generalized-growth method, we estimated the reproduction number in the range of 1.2-1.3 assuming a 3-day mean generation interval and of 1.3-1.5 assuming a 4-day mean generation interval.
Our study adds to our understanding of the mortality impact and transmissibility of the 1889-1890 influenza pandemic using detailed individual-level mortality data sets. More quantitative studies are needed to quantify the variability of the mortality impact of this understudied pandemic at regional and global scales.
尽管 1889-1890 年流感大流行是 19 世纪最重要的流行病事件之一,但基于详细的呼吸道死亡率数据集,人们对该大流行的死亡率影响知之甚少。
我们从马德里的《马德里报》(Gazeta de Madrid)中检索到高分辨率的呼吸道和全因个人死亡率数据集,以此来估计 1889-1890 年流感大流行在马德里的超额死亡率。我们还从大流行的早期增长阶段生成了繁殖数的估计值。
1889-1890 年冬季,马德里的呼吸道和全因死亡率均显示出主要的大流行波。我们对该大流行的超额死亡率估计为全因死亡率为 58.3/10000,呼吸道死亡率为 44.5/10000。特定年龄的超额死亡率呈现出 J 形模式,5-14 岁的学童经历的呼吸道超额死亡人数最少(每 10000 人中有 8.8 人超额呼吸道死亡),而年龄较大的人群(年龄大于或等于 70 岁)的死亡率最高(每 10000 人中有 367.9 人)。尽管老年人的绝对超额死亡率最高,但标准化死亡率比率在 15-24 岁的年轻成年人中最高。大流行的早期增长阶段表现出与指数增长过程一致的动态。使用广义增长法,我们假设平均代际间隔为 3 天,则繁殖数在 1.2-1.3 之间,假设平均代际间隔为 4 天,则繁殖数在 1.3-1.5 之间。
我们的研究使用详细的个人死亡率数据集,增加了对 1889-1890 年流感大流行的死亡率影响和传染性的理解。需要更多的定量研究来量化该研究不足的大流行在区域和全球范围内的死亡率影响的可变性。