期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 5, 期 22, 页码 545-553出版社
ROYAL SOC
DOI: 10.1098/rsif.2007.1152
关键词
mathematical modelling; influenza; pandemic; antiviral treatment
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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