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Key transmission parameters of an institutional outbreak during the 1918 influenza pandemic estimated by mathematical modelling

机译:通过数学模型估算1918年流感大流行期间机构性暴发的关键传播参数

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Aim To estimate the key transmission parameters associated with an outbreak of pandemic influenza in an institutional setting (New Zealand 1918). Methods Historical morbidity and mortality data were obtained from the report of the medical officer for a large military camp. A susceptible-exposed-infectious-recovered epidemiological model was solved numerically to find a range of best-fit estimates for key epidemic parameters and an incidence curve. Mortality data were subsequently modelled by performing a convolution of incidence distribution with a best-fit incidence-mortality lag distribution. Results Basic reproduction number (R0) values for three possible scenarios ranged between 1.3, and 3.1, and corresponding average latent period and infectious period estimates ranged between 0.7 and 1.3 days, and 0.2 and 0.3 days respectively. The mean and median best-estimate incidence-mortality lag periods were 6.9 and 6.6 days respectively. This delay is consistent with secondary bacterial pneumonia being a relatively important cause of death in this predominantly young male population. Conclusion These R0 estimates are broadly consistent with others made for the 1918 influenza pandemic and are not particularly large relative to some other infectious diseases. This finding suggests that if a novel influenza strain of similar virulence emerged then it could potentially be controlled through the prompt use of major public health measures.
机译:目的在机构环境中估计与大流行性流感爆发有关的关键传播参数(新西兰,1918年)。方法:从大型军营的医务人员的报告中获得历史发病率和死亡率数据。数值求解了易感暴露传染恢复的流行病学模型,以找到一系列关键流行参数和发病曲线的最佳拟合估计值。随后通过对发病率分布与最合适的发病率-死亡率滞后分布进行卷积来对死亡率数据进行建模。结果三种可能情况的基本繁殖数(R 0 )值在1.3和3.1之间,相应的平均潜伏期和传染期估计值分别在0.7和1.3天之间以及0.2和0.3天之间。最佳估计的平均发病率-死亡率滞后期分别为6.9天和6.6天。这种延迟与继发性细菌性肺炎是主要的年轻男性人群相对重要的死亡原因相一致。结论这些R 0 估计与1918年流感大流行的其他估计大致一致,相对于某些其他传染病而言,估计值并不特别大。这一发现表明,如果出现了一种新的类似毒力的流感毒株,则有可能通过迅速使用主要的公共卫生措施加以控制。

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