气候变化和人类流动性对登革热传播的交互影响

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
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引用次数: 0

摘要

病媒传染的流行病,特别是登革热等黄病毒,在全球范围内不断升级,带来了日益严峻的挑战。气候变化和人类流动性增加等诱发因素在全球范围内扩大了登革热的易感性,但其潜在机制仍难以捉摸。在本文中,我们扩展了双斑块登革热传播模型,纳入了蚊子的水生阶段,并通过居住时间矩阵整合了宿主个体在斑块间的移动。通过这种方法,我们得出了基本繁殖数,并将其与气候变化和人类流动性直接联系起来。我们的研究结果揭示了人类流动性对登革热传播的双向影响:从气候不适宜的地区向适宜地区的流动性增加会提高基本繁殖数,而反之则会降低基本繁殖数。此外,与对称模式相比,非对称流动率可能更有利于登革热的传播。如果再加上气候变化,非对称的人类流动会进一步加剧登革热的传播。这些见解为人类流动性在登革热传播动态中的作用提供了新的视角,并为干预策略提供了参考,尤其是在登革热疫情由人类流动性驱动的城市环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive effects of climate change and human mobility on dengue transmission
The global escalation of vector-borne epidemics, particularly flaviviruses like dengue fever, presents a growing challenge. Contributing factors such as climate change and increased human mobility have expanded the vulnerability to dengue fever worldwide, yet the underlying mechanisms remain elusive. In this paper, we extend a two-patch dengue transmission model by incorporating the aquatic stage of mosquitoes and integrating the movement of host individuals between patches via a residence-time matrix. Through this approach, we derive the basic reproduction number and directly link it to climate change and human mobility. Our findings reveal bidirectional impacts of human mobility on dengue transmission: an increase in mobility from climatically unsuitable to suitable patches heightens the basic reproduction number, while the reverse pattern diminishes it. Moreover, an asymmetric mobility rate proves potentially more conducive to dengue spread than a symmetric pattern. When coupled with climate changes, asymmetric human mobility further exacerbates dengue fever transmission. These insights offer novel perspectives on the role of human mobility in dengue transmission dynamics and inform intervention strategies, particularly in urban settings where dengue epidemics are driven by human mobility.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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