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Estimating the Fatality Burden of SARS-CoV2

Published: 17 December 2020 Publication History

Abstract

As the world struggles with the SARS-CoV2 pandemic, public health officials and governments continue to refine the key metrics that are used to capture and compare the state of the pandemic and the effects of responses within and between countries and regions. This work presents a novel fatality metric, the COVID-19 burden, which normalises SARS-CoV2 fatalities with respect to historical mortality rates over the same period of time. We argue that this measure provides an improved basis for comparing fatality rates between countries, and we present an analysis of this measure across 174 countries, using data up to November 15, 2020, to better understand the impact of the virus in different countries and regions.

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  • (2021)Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 PandemicFrontiers in Digital Health10.3389/fdgth.2021.6557453Online publication date: 28-May-2021

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    cover image Digital Government: Research and Practice
    Digital Government: Research and Practice  Volume 2, Issue 2
    COVID-19 Commentaries and Case Study
    April 2021
    119 pages
    EISSN:2639-0175
    DOI:10.1145/3442345
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 December 2020
    Online AM: 25 November 2020
    Accepted: 01 November 2020
    Revised: 01 November 2020
    Received: 01 September 2020
    Published in DGOV Volume 2, Issue 2

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    Author Tags

    1. COVID-19
    2. Data science

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    • Science Foundation Ireland through the Insight Centre for Data Analytics

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    • (2021)Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 PandemicFrontiers in Digital Health10.3389/fdgth.2021.6557453Online publication date: 28-May-2021

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