Quantifying the basic reproduction number and underestimated fraction of Mpox cases worldwide at the onset of the outbreak.

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Journal of The Royal Society Interface Pub Date : 2024-07-01 Epub Date: 2024-07-24 DOI:10.1098/rsif.2023.0637
Nicola Luigi Bragazzi, Sarafa Adewale Iyaniwura, Qing Han, Woldegebriel Assefa Woldegerima, Jude Dzevela Kong
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Abstract

In 2022, there was a global resurgence of mpox, with different clinical-epidemiological features compared with previous outbreaks. Sexual contact was hypothesized as the primary transmission route, and the community of men having sex with men (MSM) was disproportionately affected. Because of the stigma associated with sexually transmitted infections, the real burden of mpox could be masked. We quantified the basic reproduction number (R 0) and the underestimated fraction of mpox cases in 16 countries, from the onset of the outbreak until early September 2022, using Bayesian inference and a compartmentalized, risk-structured (high-/low-risk populations) and two-route (sexual/non-sexual transmission) mathematical model. Machine learning (ML) was harnessed to identify underestimation determinants. Estimated R 0 ranged between 1.37 (Canada) and 3.68 (Germany). The underestimation rates for the high- and low-risk populations varied between 25-93% and 65-85%, respectively. The estimated total number of mpox cases, relative to the reported cases, is highest in Colombia (3.60) and lowest in Canada (1.08). In the ML analysis, two clusters of countries could be identified, differing in terms of attitudes towards the 2SLGBTQIAP+ community and the importance of religion. Given the substantial mpox underestimation, surveillance should be enhanced, and country-specific campaigns against the stigmatization of MSM should be organized, leveraging community-based interventions.

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量化疫情爆发时全球麻风腮病例的基本繁殖数量和被低估的比例。
2022 年,麻疹腮腺炎在全球再次爆发,其临床流行病学特征与以往的疫情不同。性接触被假定为主要传播途径,男男性行为者(MSM)群体受到的影响尤为严重。由于与性传播感染相关的耻辱感,麻疹的实际负担可能会被掩盖。我们采用贝叶斯推断法和分区风险结构(高/低风险人群)及双途径(性/非性传播)数学模型,量化了从疫情爆发到 2022 年 9 月初 16 个国家的基本繁殖数(R 0)和被低估的天花病例比例。利用机器学习(ML)来确定低估的决定因素。估计的 R 0 介于 1.37(加拿大)和 3.68(德国)之间。高危人群和低危人群的低估率分别在 25-93% 和 65-85% 之间。相对于报告病例,估计的麻风病例总数在哥伦比亚最高(3.60),在加拿大最低(1.08)。在 ML 分析中,可以发现两个国家集群,它们对 2SLGBTQIAP+ 群体的态度和宗教的重要性各不相同。鉴于 mpox 被严重低估,应加强监测,并应组织针对具体国家的运动,利用基于社区的干预措施,消除对 MSM 的污名化。
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
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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