Accounting for Pandemic: Better Numbers for Management and Policy

Pub Date : 2021-11-10 DOI:10.1515/ael-2021-0075
Y. Biondi
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引用次数: 1

Abstract

Abstract Infection, hospitalization and mortality statistics have played a pivotal role in forming social attitudes and support for policy decisions about the 2020-21 SARS-CoV-2 (COVID-19) pandemic. This article raises some questions on some of the most widely-used indicators, such as the case fatality rate, derived from these statistics, recommending replacing them with information based on regular stratified statistical sampling, coupled with diagnostic assessment. Some implications for public health policies and pandemic management are developed, opposing individualistic and holistic approaches.
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流行病核算:更好的管理和政策数据
感染、住院和死亡统计数据在形成对2020-21年新冠肺炎大流行的社会态度和政策决策支持方面发挥了关键作用。本文对从这些统计数据中得出的一些最广泛使用的指标(如病死率)提出了一些问题,建议用基于常规分层统计抽样和诊断评估的信息来取代这些指标。对公共卫生政策和流行病管理的一些影响被开发出来,反对个人主义和整体方法。
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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