Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection

IF 3.4 1区 数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2022-05-01 DOI:10.1214/22-sts860
Xihong Lin
{"title":"Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection","authors":"Xihong Lin","doi":"10.1214/22-sts860","DOIUrl":null,"url":null,"abstract":"In this article, I will discuss my experience as a statistician involved in COVID-19 research in multiple capacities in the last two years, especially in the early phase of the pandemic. I will reflect on the challenges and the lessons I have learned in pandemic research regarding data collection and access, epidemic modeling and data analysis, open science and real time dissemination of research findings, implementation science, media and public communication, and partnerships between academia, government, industry and civil society. I will also make several recommendations on navigating the next stage of the pandemic and preparing for future pandemics.","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Science","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/22-sts860","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 3

Abstract

In this article, I will discuss my experience as a statistician involved in COVID-19 research in multiple capacities in the last two years, especially in the early phase of the pandemic. I will reflect on the challenges and the lessons I have learned in pandemic research regarding data collection and access, epidemic modeling and data analysis, open science and real time dissemination of research findings, implementation science, media and public communication, and partnerships between academia, government, industry and civil society. I will also make several recommendations on navigating the next stage of the pandemic and preparing for future pandemics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从COVID-19大流行中吸取的教训:统计学家的反思
在这篇文章中,我将讨论我作为一名统计学家在过去两年中以多种身份参与新冠肺炎研究的经验,尤其是在大流行的早期阶段。我将反思我在流行病研究中所面临的挑战和吸取的教训,包括数据收集和获取、流行病建模和数据分析、研究结果的开放科学和实时传播、实施科学、媒体和公共传播,以及学术界、政府、工业界和民间社会之间的伙伴关系。我还将就应对疫情的下一阶段和为未来的疫情做好准备提出几点建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
期刊最新文献
On the mixed-model analysis of covariance in cluster-randomized trials. Replicable Bandits for Digital Health Interventions. On the Use of Auxiliary Variables in Multilevel Regression and Poststratification. Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis. Variable Selection Using Bayesian Additive Regression Trees.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1