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Visualizing omicron: COVID-19 deaths vs. cases over time
For most of the COVID-19 pandemic, the daily focus has been on the number of cases, and secondarily, deaths. The most recent wave was caused by the omicron variant, first identified at the end of 2021 and the dominant variant through the first part of 2022. South Africa, one of the first countries t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017933/ https://www.ncbi.nlm.nih.gov/pubmed/35439253 http://dx.doi.org/10.1371/journal.pone.0265233 |
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author | Arnaout, Ramy Arnaout, Rima |
author_facet | Arnaout, Ramy Arnaout, Rima |
author_sort | Arnaout, Ramy |
collection | PubMed |
description | For most of the COVID-19 pandemic, the daily focus has been on the number of cases, and secondarily, deaths. The most recent wave was caused by the omicron variant, first identified at the end of 2021 and the dominant variant through the first part of 2022. South Africa, one of the first countries to experience and report data regarding omicron (variant 21.K), reported far fewer deaths, even as the number of reported cases rapidly eclipsed previous peaks. However, as the omicron wave has progressed, time series show that it has been markedly different from prior waves. To more readily visualize the dynamics of cases and deaths, it is natural to plot deaths per million against cases per million. Unlike the time-series plots of cases or deaths that have become daily features of pandemic updates during the pandemic, which have time as the x-axis, in a plot of deaths vs. cases, time is implicit, and is indicated in relation to the starting point. Here we present and briefly examine such plots from a number of countries and from the world as a whole, illustrating how they summarize features of the pandemic in ways that illustrate how, in most places, the omicron wave is very different from those that came before. Code for generating these plots for any country is provided in an automatically updating GitHub repository. |
format | Online Article Text |
id | pubmed-9017933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90179332022-04-20 Visualizing omicron: COVID-19 deaths vs. cases over time Arnaout, Ramy Arnaout, Rima PLoS One Research Article For most of the COVID-19 pandemic, the daily focus has been on the number of cases, and secondarily, deaths. The most recent wave was caused by the omicron variant, first identified at the end of 2021 and the dominant variant through the first part of 2022. South Africa, one of the first countries to experience and report data regarding omicron (variant 21.K), reported far fewer deaths, even as the number of reported cases rapidly eclipsed previous peaks. However, as the omicron wave has progressed, time series show that it has been markedly different from prior waves. To more readily visualize the dynamics of cases and deaths, it is natural to plot deaths per million against cases per million. Unlike the time-series plots of cases or deaths that have become daily features of pandemic updates during the pandemic, which have time as the x-axis, in a plot of deaths vs. cases, time is implicit, and is indicated in relation to the starting point. Here we present and briefly examine such plots from a number of countries and from the world as a whole, illustrating how they summarize features of the pandemic in ways that illustrate how, in most places, the omicron wave is very different from those that came before. Code for generating these plots for any country is provided in an automatically updating GitHub repository. Public Library of Science 2022-04-19 /pmc/articles/PMC9017933/ /pubmed/35439253 http://dx.doi.org/10.1371/journal.pone.0265233 Text en © 2022 Arnaout, Arnaout https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Arnaout, Ramy Arnaout, Rima Visualizing omicron: COVID-19 deaths vs. cases over time |
title | Visualizing omicron: COVID-19 deaths vs. cases over time |
title_full | Visualizing omicron: COVID-19 deaths vs. cases over time |
title_fullStr | Visualizing omicron: COVID-19 deaths vs. cases over time |
title_full_unstemmed | Visualizing omicron: COVID-19 deaths vs. cases over time |
title_short | Visualizing omicron: COVID-19 deaths vs. cases over time |
title_sort | visualizing omicron: covid-19 deaths vs. cases over time |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017933/ https://www.ncbi.nlm.nih.gov/pubmed/35439253 http://dx.doi.org/10.1371/journal.pone.0265233 |
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