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用于设计和解释传染病干预试验的模拟

Simulations for designing and interpreting intervention trials in infectious diseases.

作者信息

Halloran M Elizabeth, Auranen Kari, Baird Sarah, Basta Nicole E, Bellan Steven E, Brookmeyer Ron, Cooper Ben S, DeGruttola Victor, Hughes James P, Lessler Justin, Lofgren Eric T, Longini Ira M, Onnela Jukka-Pekka, Özler Berk, Seage George R, Smith Thomas A, Vespignani Alessandro, Vynnycky Emilia, Lipsitch Marc

机构信息

Vaccine and Infectious Disease Division, Fred Hutchinson Research Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA.

Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA.

出版信息

BMC Med. 2017 Dec 29;15(1):223. doi: 10.1186/s12916-017-0985-3.

Abstract

BACKGROUND

Interventions in infectious diseases can have both direct effects on individuals who receive the intervention as well as indirect effects in the population. In addition, intervention combinations can have complex interactions at the population level, which are often difficult to adequately assess with standard study designs and analytical methods.

DISCUSSION

Herein, we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly with regard to emerging infectious diseases, one that more accurately reflects the dynamics of the transmission process. In an increasingly complex world, simulations can explicitly represent transmission dynamics, which are critical for proper trial design and interpretation. Certain ethical aspects of a trial can also be quantified using simulations. Further, after a trial has been conducted, simulations can be used to explore the possible explanations for the observed effects.

CONCLUSION

Much is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods, and the conduct of clinical trials.

摘要

背景

传染病干预措施不仅会对接受干预的个体产生直接影响,还会对人群产生间接影响。此外,干预措施的组合在人群层面可能会产生复杂的相互作用,而采用标准的研究设计和分析方法往往难以对其进行充分评估。

讨论

在此,我们敦促采用一种新的范式来设计和解释传染病干预试验,尤其是针对新发传染病的试验,这种范式能更准确地反映传播过程的动态变化。在日益复杂的世界中,模拟可以明确呈现传播动态,这对于正确的试验设计和解释至关重要。试验的某些伦理方面也可以通过模拟进行量化。此外,在试验进行之后,模拟可用于探究观察到的效果的可能解释。

结论

通过多学科方法,在传染病动力学、流行病学、统计科学、经济学、模拟方法以及临床试验实施等领域的专家之间建立合作,将会大有收获。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86e7/5747936/6c337c832c91/12916_2017_985_Fig1_HTML.jpg

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