共 24 条
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.
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页码:545 / 553
页数:9
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