Institut National de la Santé et de la Recherche Médicale, Paris, France.
Proc Natl Acad Sci U S A. 2010 May 11;107(19):8778-81. doi: 10.1073/pnas.1000886107. Epub 2010 Apr 26.
Until now, mortality and spreading mechanisms of influenza pandemics have been studied only for the 1918, 1957, and 1968 pandemics; none have concerned the 19th century. Herein, we examined the 1889 "Russian" pandemic. Clinical attack rates were retrieved for 408 geographic entities in 14 European countries and in the United States. Case fatality ratios were estimated from datasets in the French, British and German armies, and morbidity and mortality records of Swiss cities. Weekly all-cause mortality was analyzed in 96 European and American cities. The pandemic spread rapidly, taking only 4 months to circumnavigate the planet, peaking in the United States 70 days after the original peak in St. Petersburg. The median and interquartile range of clinical attack rates was 60% (45-70%). The case fatality ratios ranged from 0.1% to 0.28%, which is comparable to those of 1957 and 1968, and 10-fold lower than in 1918. The median basic reproduction number (R(0)) was 2.1, which is comparable to the values found for the other pandemics, despite the different viruses and contact networks. R(0) values varied widely from one city to another, and only a small minority of those values was within the range in which modelers' mitigation scenarios predicted effectiveness. The 1889 and 1918 R(0) correlated for the subset of cities for which both values were available. Social and geographic factors probably shape the local R(0) , and they could be identified to design optimal mitigation scenarios tailored to each city.
到目前为止,人们仅对 1918 年、1957 年和 1968 年的流感大流行的死亡率和传播机制进行了研究,而对 19 世纪的大流行则没有研究。在此,我们研究了 1889 年的“俄罗斯”大流行。我们检索了 14 个欧洲国家和美国的 408 个地理实体的临床攻击率。从法国、英国和德国军队的数据集以及瑞士城市的发病率和死亡率记录中估计了病死率。分析了 96 个欧洲和美国城市的每周全因死亡率。该大流行迅速传播,仅用了 4 个月就传遍了全球,在美国圣彼得堡出现首例病例 70 天后达到高峰。临床攻击率的中位数和四分位间距为 60%(45-70%)。病死率范围为 0.1%-0.28%,与 1957 年和 1968 年的病死率相当,比 1918 年低 10 倍。基本繁殖数(R0)的中位数为 2.1,与其他大流行的数值相当,尽管病毒和接触网络不同。从一个城市到另一个城市,R0 值的差异很大,只有一小部分值在模型预测有效性的范围内。对于那些既有 1889 年 R0 值又有 1918 年 R0 值的城市子集,两者呈正相关。社会和地理因素可能塑造了局部 R0,可以确定这些因素,以设计针对每个城市的最佳缓解方案。