Being a Public Health Statistician During a Global Pandemic

IF 3.4 1区数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2022-05-01 DOI:10.1214/22-sts859

B. Mukherjee

引用次数: 5

Abstract

In this perspective, I first share some key lessons learned from the experience of modeling the transmission dynamics of SARS-CoV-2 in India since the beginning of the COVID-19 pandemic in 2020. Second, I discuss some interesting open problems related to COVID-19 where statisticians have a lot to contribute to in the coming years. Finally, I emphasize the need for having integrated and resilient public health data systems: good data coupled with good models are at the heart of effective policymaking.

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在全球大流行期间担任公共卫生统计学家

从这个角度来看，我首先分享自2020年COVID-19大流行开始以来在印度建立SARS-CoV-2传播动态模型的经验教训。其次，我将讨论与COVID-19相关的一些有趣的开放问题，统计学家在未来几年可以做出很多贡献。最后，我强调需要建立综合和有弹性的公共卫生数据系统:良好的数据加上良好的模型是有效决策的核心。

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

Statistical Science 数学-统计学与概率论

CiteScore

6.50

自引率

1.80%

发文量

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.

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