Antiviral treatment for the control of pandemic influenza: some logistical constraints

被引:30
作者
Arinaminpathy, N. [1 ]
McLean, A. R. [1 ]
机构
[1] Univ Oxford, Dept Zool, Inst Emergent Infect Humans, James Martin Century Sch 21st, Oxford OX1 3PS, England
关键词
mathematical modelling; influenza; pandemic; antiviral treatment;
D O I
10.1098/rsif.2007.1152
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
Disease control programmes for an influenza pandemic will rely initially on the deployment of antiviral drugs such as Tamiflu, until a vaccine becomes available. However, such control programmes may be severely hampered by logistical constraints such as a finite stockpile of drugs and a limit on the distribution rate. We study the effects of such constraints using a compartmental modelling approach. We find that the most aggressive possible antiviral programme minimizes the final epidemic size, even if this should lead to premature stockpile run- out. Moreover, if the basic reproductive number R-0 is not too high, such a policy can avoid run- out altogether. However, where run- out would occur, such benefits must be weighed against the possibility of a higher epidemic peak than if a more conservative policy were followed. Where there is a maximum number of treatment courses that can be dispensed per day, reflecting amanpower limit on antiviral distribution, our results suggest that such a constraint is unlikely to have a significant impact ( i. e. increasing the final epidemic size by more than 10%), as long as drug courses sufficient to treat at least 6% of the population can be dispensed per day.
引用
收藏
页码:545 / 553
页数:9
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