Transmissibility of the Influenza Virus in the 1918 Pandemic

被引:60
作者
White, Laura Forsberg [1 ]
Pagano, Marcello [1 ]
机构
[1] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02215 USA
来源
PLOS ONE | 2008年 / 3卷 / 01期
基金
美国国家卫生研究院;
关键词
D O I
10.1371/journal.pone.0001498
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background. With a heightened increase in concern for an influenza pandemic we sought to better understand the 1918 Influenza pandemic, the most devastating epidemic of the previous century. Methodology/Principal Findings. We use data from several communities in Maryland, USA as well as two ships that experienced well-documented outbreaks of influenza in 1918. Using a likelihood-based method and a nonparametric method, we estimate the serial interval and reproductive number throughout the course of each outbreak. This analysis shows the basic reproductive number to be slightly lower in the Maryland communities (between 1.34 and 3.21) than for the enclosed populations on the ships (R-0 = 4.97, SE = 3.31). Additionally the effective reproductive number declined to sub epidemic levels more quickly on the ships (within around 10 days) than in the communities (within 30-40 days). The mean serial interval for the ships was consistent (3.33, SE = 5.96 and 3.81, SE = 3.69), while the serial intervals in the communities varied substantially (between 2.83, SE = 0.53 and 8.28, SE = 951.95). Conclusions/Significance. These results illustrate the importance of considering the population dynamics when making statements about the epidemiological parameters of Influenza. The methods that we employ for estimation of the reproductive numbers and the serial interval can be easily replicated in other populations and with other diseases.
引用
收藏
页数:6
相关论文
共 24 条
[21]   Estimates of the reproduction numbers of Spanish influenza using morbidity data [J].
Vynnycky, Emilia ;
Trindall, Amy ;
Mangtani, Punam .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2007, 36 (04) :881-889
[22]   Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures [J].
Wallinga, J ;
Teunis, P .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2004, 160 (06) :509-516
[23]  
WHITE LF, 2007, STAT MED IN PRESS
[24]  
FLUWEB HIST INFLUENZ