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The Interaction between Seasonality and Pulsed Interventions against Malaria in Their Effects on the Reproduction Number

机译:季节性和脉冲性疟疾干预措施对繁殖数量的影响

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摘要

The basic reproduction number (R 0) is an important quantity summarising the dynamics of an infectious disease, as it quantifies how much effort is needed to control transmission. The relative change in R 0 due to an intervention is referred to as the effect size. However malaria and other diseases are often highly seasonal and some interventions have time-varying effects, meaning that simple reproduction number formulae cannot be used. Methods have recently been developed for calculating R 0 for diseases with seasonally varying transmission. I extend those methods to calculate the effect size of repeated rounds of mass drug administration, indoor residual spraying and other interventions against Plasmodium falciparum malaria in seasonal settings in Africa. I show that if an intervention reduces transmission from one host to another by a constant factor, then its effect size is the same in a seasonal as in a non-seasonal setting. The optimal time of year for drug administration is in the low season, whereas the best time for indoor residual spraying or a vaccine which reduces infection rates is just before the high season. In general, the impact of time-varying interventions increases with increasing seasonality, if carried out at the optimal time of year. The effect of combinations of interventions that act at different stages of the transmission cycle is roughly the product of the separate effects. However for individual time-varying interventions, it is necessary to use methods such as those developed here rather than inserting the average efficacy into a simple formula.
机译:基本繁殖数(R 0)是总结传染病动态的重要量,因为它量化了控制传播所需的工作量。由于干预引起的R 0的相对变化称为效应大小。但是,疟疾和其他疾病通常是高度季节性的,并且某些干预措施会随时间变化,这意味着不能使用简单的繁殖数公式。最近已经开发出用于计算具有季节性变化传播的疾病的R 0的方法。我扩展了这些方法,以计算在非洲的季节性环境中,重复进行多次大规模药物施用,室内残留喷洒和其他针对恶性疟原虫疟疾的干预措施的效果大小。我发现,如果一项干预措施将一个宿主向另一宿主的传播减少一个恒定因素,那么其影响大小在季节性和非季节性情况下是相同的。一年中最佳的给药时间是在淡季,而室内残留喷雾或降低感染率的疫苗的最佳时间恰好在旺季之前。通常,如果在一年中的最佳时间进行,随时间变化的干预措施的影响会随着季节的增加而增加。在传播周期的不同阶段起作用的干预措施组合的效果大约是各个效果的乘积。但是,对于随时间变化的个体干预,有必要使用此处开发的方法,而不是将平均功效插入简单的公式中。

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