Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Arnaout, Ramy, Arnaout, Rima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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
_version_ 1784688894324768768
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
work_keys_str_mv AT arnaoutramy visualizingomicroncovid19deathsvscasesovertime
AT arnaoutrima visualizingomicroncovid19deathsvscasesovertime