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行为变化对2022 - 2023年美国猴痘传播的影响:来自同质和异质模型的见解

Behavior changes influence mpox transmission in the United States, 2022-2023: Insights from homogeneous and heterogeneous models.

作者信息

Zhang Wei, Zhang Juan, Liu Quan-Hui, Zhao Shi, Li Wei-Qiang, Ma Jun-Jie, Lu Xin, Boccaletti Stefano, Sun Gui-Quan

机构信息

Data Science and Technology, North University of China, Taiyuan, Shanxi 030051, China.

School of Mathematics, North University of China, Taiyuan, Shanxi 030051, China.

出版信息

PNAS Nexus. 2025 Jan 27;4(2):pgaf025. doi: 10.1093/pnasnexus/pgaf025. eCollection 2025 Feb.

Abstract

In 2022, an unprecedented mpox epidemic rapidly swept the globe, primarily transmitted through sexual contact among men who have sex with men (MSM). However, our understanding of how changes in human behavior influence this outbreak remains incomplete. In this study, we introduce a two-layer network model to investigate the impact of human behavior on mpox transmission within the United States during 2022-2023, leveraging surveillance data. We theoretically explore mpox transmission under behavioral changes using homogeneous and heterogeneous mean-field approximations. While the heterogeneous model captures differences in individual behavior, its variations do not significantly affect the overall spread, validating the feasibility of using only homogeneous models to study behavioral changes. Utilizing infection data, we exhibit the influence of behavior changes across varying transmission levels of mpox, emphasize the significant role of sexual behavior among MSM, and recommend enhancing surveillance of nonsexual cases to enable timely control of spread. Utilizing vaccination data, we demonstrate the critical impact of behavior changes on the transmission capacity of mpox virus, contrasting the limited effectiveness of vaccine campaigns. This study highlights the importance of human behavior in controlling the spread of future outbreaks, offering valuable insights for the strategic development of public health interventions aimed at mitigating such occurrences.

摘要

2022年,一场史无前例的猴痘疫情迅速席卷全球,主要通过男男性行为者(MSM)之间的性接触传播。然而,我们对人类行为变化如何影响此次疫情爆发的理解仍不完整。在本研究中,我们引入了一个两层网络模型,利用监测数据来调查2022 - 2023年美国境内人类行为对猴痘传播的影响。我们使用同质和异质平均场近似从理论上探讨了行为变化下的猴痘传播情况。虽然异质模型捕捉到了个体行为的差异,但其变化对整体传播的影响并不显著,这验证了仅使用同质模型研究行为变化的可行性。利用感染数据,我们展示了行为变化在不同猴痘传播水平上的影响,强调了男男性行为者中性行为的重要作用,并建议加强对非性传播病例的监测,以便及时控制传播。利用疫苗接种数据,我们证明了行为变化对猴痘病毒传播能力的关键影响,对比了疫苗接种运动的有限效果。本研究强调了人类行为在控制未来疫情传播中的重要性,为旨在减轻此类事件的公共卫生干预措施的战略制定提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49af/11803423/3ab4cb593754/pgaf025f1.jpg

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