R 数字的故事：一个不起眼的流行病学数字如何影响我们的生活？第二部分：建模

Q3 Mathematics

Significance Pub Date : 2024-04-07 DOI:10.1093/jrssig/qmae027

Gavin Freeguard

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引用次数: 0

摘要

在几乎没有可靠数据的情况下，如何在创纪录的时间内建立一个复杂的流行病学模型？加文-弗里瓜德（Gavin Freeguard）在其六部曲系列的第二部中介绍了英国不同的建模小组如何使用不同的数据来源和假设来理解 Covid-19 的感染率，以及这种多样性如何被证明是一种优势而非劣势

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The story of the R number: How an obscure epidemiological figure took over our lives. Part 2: Modelling

How do you build a complex epidemiological model in record time with little or no reliable data? In the second instalment of his six-part series, Gavin Freeguard describes how different modelling groups in the UK used different data sources and assumptions to try to understand Covid-19 infection rates, and how this diversity proved to be a strength rather than a weakness

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来源期刊

Significance Mathematics-Statistics and Probability

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： Significance is a quarterly magazine for anyone interested in statistics and the analysis and interpretation of data. Its aim is to communicate and demonstrate in an entertaining, thought-provoking and non-technical way the practical use of statistics in all walks of life and to show informatively and authoritatively how statistics benefit society.