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
{"title":"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","authors":"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","doi":"10.1016/j.epidem.2023.100734","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><p>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.</p><p>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.</p></div>","PeriodicalId":49206,"journal":{"name":"Epidemics","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755436523000701/pdfft?md5=41aee9a81b2e351e51317db259a7d544&pid=1-s2.0-S1755436523000701-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective\",\"authors\":\"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\",\"doi\":\"10.1016/j.epidem.2023.100734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p><p>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.</p><p>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.</p></div>\",\"PeriodicalId\":49206,\"journal\":{\"name\":\"Epidemics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1755436523000701/pdfft?md5=41aee9a81b2e351e51317db259a7d544&pid=1-s2.0-S1755436523000701-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1755436523000701\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755436523000701","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective
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.
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
