Wolbachia incompatible insect technique program optimization over large spatial scales using a process-based model of mosquito metapopulation dynamics.

IF 4.4 1区 生物学 Q1 BIOLOGY
Preston Lj Lim, Alex R Cook, Somya Bansal, Jo Yi Chow, Jue Tao Lim
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引用次数: 0

Abstract

Background: Wolbachia incompatible insect technique (IIT) programs have been shown in field trials to be highly effective in suppressing populations of mosquitoes that carry diseases such as dengue, chikungunya, and Zika. However, the frequent and repeated release of Wolbachia-infected male mosquitoes makes such programs resource-intensive. While the need for optimization is recognized, potential strategies to optimize releases and reduce resource utilization have not been fully explored.

Results: We developed a process-based model to study the spatio-temporal metapopulation dynamics of mosquitoes in a Wolbachia IIT program, which explicitly incorporates climatic influence in mosquito life-history traits. We then used the model to simulate various scale-down and redistribution strategies to optimize the existing program in Singapore. Specifically, the model was used to study the trade-offs between the intervention efficacy outcomes and resource requirements of various release program strategies, such as the total number of release events and the number of mosquitoes released. We found that scaling down releases in existing sites from twice a week to only once a week yielded small changes in suppression efficacy (from 87 to 80%), while requiring 44% fewer mosquitoes and release events. Additionally, redistributing mosquitoes from already suppressed areas and releasing them in new areas once a week led to a greater total suppressive efficacy (83% compared to 61%) while also yielding a 16% and 14% reduction in the number of mosquitoes and release events required, respectively.

Conclusions: Both scale-down and redistribution strategies can be implemented to significantly reduce program resource requirements without compromising the suppressive efficacy of IIT. These findings will inform planners on ways to optimize existing and future IIT programs, potentially allowing for the wider adoption of this method for mosquito-borne disease control.

利用基于过程的蚊子元种群动态模型,在大空间尺度上优化沃尔巴克氏体不相容昆虫技术方案。
背景:田间试验表明,沃尔巴克氏体昆虫不相容技术(IIT)计划在抑制登革热、基孔肯雅和寨卡等疾病的蚊子数量方面非常有效。然而,频繁、反复地释放受沃尔巴克氏病感染的雄蚊使得此类计划成为资源密集型项目。虽然优化的必要性已得到认可,但优化释放和减少资源利用的潜在策略尚未得到充分探索:结果:我们开发了一个基于过程的模型来研究沃尔巴克氏体 IIT 计划中蚊子的时空元种群动态,该模型明确地将气候对蚊子生命史特征的影响纳入其中。然后,我们利用该模型模拟了各种缩小规模和重新分配的策略,以优化新加坡的现有项目。具体来说,该模型被用来研究各种释放计划策略的干预效果和资源需求之间的权衡,如释放活动的总数和释放的蚊子数量。我们发现,将现有地点的释放次数从每周两次缩减到每周一次,抑制效果变化不大(从 87% 到 80%),但所需的蚊子和释放次数却减少了 44%。此外,将蚊子从已受抑制的地区重新分配到新的地区,每周释放一次,可提高总抑制效果(83%对61%),同时所需的蚊子数量和释放活动也分别减少了16%和14%:可以实施缩小规模和重新分配两种策略,在不影响 IIT 抑制效果的情况下大幅减少计划所需资源。这些发现将为规划者提供优化现有和未来 IIT 计划的方法,从而有可能更广泛地采用这种方法来控制蚊媒疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Biology
BMC Biology 生物-生物学
CiteScore
7.80
自引率
1.90%
发文量
260
审稿时长
3 months
期刊介绍: BMC Biology is a broad scope journal covering all areas of biology. Our content includes research articles, new methods and tools. BMC Biology also publishes reviews, Q&A, and commentaries.
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