Improving the contribution of mathematical modelling evidence to guidelines and policy: Experiences from tuberculosis

IF 3 3区医学 Q2 INFECTIOUS DISEASES

Epidemics Pub Date : 2024-08-06 DOI:10.1016/j.epidem.2024.100786

C. Finn McQuaid , Nicolas A. Menzies , Rein M.G.J. Houben , Gabriella B. Gomez , Anna Vassall , Nimalan Arinaminpathy , Peter J. Dodd , Richard G. White

引用次数: 0

Abstract

We read with great interest the recent paper by Lo et al., who argue that there is an urgent need to ensure the quality of modelling evidence used to support international and national guideline development. Here we outline efforts by the Tuberculosis Modelling and Analysis Consortium, together with the World Health Organization Global Task Force on Tuberculosis Impact Measurement, to develop material to improve the quality and transparency of country-level tuberculosis modelling to inform decision-making.

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提高数学建模证据对指导方针和政策的贡献：结核病方面的经验。

我们饶有兴趣地阅读了 Lo 等人最近发表的论文，他们认为迫切需要确保用于支持国际和国家指导方针制定的建模证据的质量。在此，我们简要介绍了结核病建模与分析联合会与世界卫生组织结核病影响测量全球工作组一起，为提高国家级结核病建模的质量和透明度，为决策提供信息而开发材料所做的努力。

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

Epidemics INFECTIOUS DISEASES-

CiteScore

6.00

自引率

7.90%

发文量

审稿时长

140 days

期刊介绍： Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.