A Theoretical Framework to Quantify the Tradeoff Between Individual and Population Benefits of Expanded Antibiotic Use.

IF 2 4区 数学 Q2 BIOLOGY
Cormac R LaPrete, Sharia M Ahmed, Damon J A Toth, Jody R Reimer, Valerie M Vaughn, Frederick R Adler, Lindsay T Keegan
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引用次数: 0

Abstract

The use of antibiotics during a disease outbreak presents a critical tradeoff between immediate treatment benefits to the individual and the long-term risk to the population. Typically, the extensive use of antibiotics has been thought to increase selective pressures, leading to resistance. This study explores scenarios where expanded antibiotic treatment can be advantageous for both individual and population health. We develop a mathematical framework to assess the impacts on outbreak dynamics of choosing to treat moderate infections not treated under current guidelines, focusing on cholera as a case study. We derive conditions under which treating moderate infections can sufficiently decrease transmission and reduce the total number of antibiotic doses administered. We identify two critical thresholds: the Outbreak Prevention Threshold (OPT), where expanded treatment reduces the reproductive number below 1 and halts transmission, and the Dose Utilization Threshold (DUT), where expanded treatment results in fewer total antibiotic doses used than under current guidelines. For cholera, we find that treating moderate infections can feasibly stop an outbreak when the untreated reproductive number is less than 1.42 and will result in fewer does used compared to current guidelines when the untreated reproductive number is less than 1.53. These findings demonstrate that conditions exist under which expanding treatment to include moderate infections can reduce disease spread and the selective pressure for antibiotic resistance. These findings extend to other pathogens and outbreak scenarios, suggesting potential targets for optimized treatment strategies that balance public health benefits and antibiotic stewardship.

一个量化扩大抗生素使用的个人和群体利益权衡的理论框架。
在疾病暴发期间使用抗生素是对个人的即时治疗益处和对人群的长期风险之间的关键权衡。通常,广泛使用抗生素被认为会增加选择压力,导致耐药性。本研究探讨了扩大抗生素治疗对个人和人群健康都有利的情况。我们开发了一个数学框架,以评估选择治疗未按现行指南治疗的中度感染对疫情动态的影响,重点关注霍乱作为一个案例研究。我们得出治疗中度感染可以充分减少传播和减少抗生素总剂量的条件。我们确定了两个关键阈值:爆发预防阈值(OPT),其中扩大治疗将繁殖数降低到1以下并阻止传播,以及剂量利用阈值(DUT),其中扩大治疗导致使用的抗生素总剂量低于当前指南。对于霍乱,我们发现,当未经治疗的生殖数小于1.42时,治疗中度感染可以切实阻止疫情爆发,并且当未经治疗的生殖数小于1.53时,与目前的指南相比,使用的剂量会更少。这些发现表明,在一定条件下,将治疗扩大到包括中度感染可以减少疾病传播和抗生素耐药性的选择压力。这些发现延伸到其他病原体和爆发情景,提出了平衡公共卫生利益和抗生素管理的优化治疗策略的潜在目标。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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