A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective

IF 3 3区医学 Q2 INFECTIOUS DISEASES Epidemics Pub Date : 2023-12-13 DOI:10.1016/j.epidem.2023.100734

Epke A. Le Rutte , Andrew J. Shattock , Cheng Zhao , Soushieta Jagadesh , Miloš Balać , Sebastian A. Müller , Kai Nagel , Alexander L. Erath , Kay W. Axhausen , Thomas P. Van Boeckel , Melissa A. Penny

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Abstract

This short communication reflects upon the challenges and recommendations of multiple COVID-19 modelling and data analytic groups that provided quantitative evidence to support health policy discussions in Switzerland and Germany during the SARS-CoV-2 pandemic.

Capacity strengthening outside infectious disease emergencies will be required to enable an environment for a timely, efficient, and data-driven response to support decisions during any future infectious disease emergency.

This will require 1) a critical mass of trained experts who continuously advance state-of-the-art methodological tools, 2) the establishment of structural liaisons amongst scientists and decision-makers, and 3) the foundation and management of data-sharing frameworks.

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从建模角度看持续提供结构性支持以最大限度地提高传染病建模效率以应对未来突发公共卫生事件的理由

这篇简短的文章反映了多个 COVID-19 建模和数据分析小组所面临的挑战和提出的建议，这些小组在 SARS-CoV-2 大流行期间为瑞士和德国的卫生政策讨论提供了定量证据。这就需要：1）拥有足够数量的训练有素的专家，不断推进最先进的方法工具；2）在科学家和决策者之间建立结构性联络；3）建立和管理数据共享框架。

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.