使用机械网络模型对2022年mopox疫情进行建模
Emma G Crenshaw1, Jukka-Pekka Onnela2
1Department of Biostatistics, Harvard TH Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA. emma_crenshaw@g.harvard.edu.
BMC infectious diseases
|November 5, 2025
概括
行为改变和疫苗接种显著减少了同性恋,双性恋和其他与男性发生性关系的男性 (GBMSM) 之间的mopox传播. 早期和广泛的干预对控制疫情最有效.
科学领域:
- 流行病学 流行病学
- 网络科学 网络科学
- 公共卫生 公共卫生
背景情况:
- 2022年mopox疫情不成比例地影响了同性恋,双性恋和其他与男性发生性关系的男性 (GBMSM),突出了有效控制策略的需要.
- 由于新的传播动态和疫情的规模,在最佳管理方面存在不确定性.
研究的目的:
- 为了模拟mopox在美国的GBMSM群体中传播的情况.
- 评估行为适应和疫苗接种对mopox传播动态的影响.
主要方法:
- 使用基于代理的动态网络模型来模拟mopox传输.
- 该模型结合了基于数据的网络演变和行为适应.
主要成果:
- 行为改变,减少一次性伴侣关系和疫苗接种有效地预防mopox传播.
- 早期疫苗接种和行为适应,即使在人口的一个子集,显著减少累积感染.
- 持续的合作伙伴关系推动了早期的疫情传播,而一次性合作伙伴关系后来成为流行病的主要驱动因素.
结论:
- 机械网络模型对于研究性传播感染如mopox.有价值.
- 个人层面的行为和关系类型在mopox传播和疫情控制中起着至关重要的作用.
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