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Global Temporal Patterns of Age Group and Sex Distributions of COVID-19
Since the beginning of 2020, COVID-19 has been the biggest public health crisis in the world. To help develop appropriate public health measures and deploy corresponding resources, many governments have been actively tracking COVID-19 in real time within their jurisdictions. However, one of the key...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293195/ https://www.ncbi.nlm.nih.gov/pubmed/34205538 http://dx.doi.org/10.3390/idr13020054 |
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author | Leong, Russell Lee, Tin-Suet Joan Chen, Zejia Zhang, Chelsea Xu, Jianping |
author_facet | Leong, Russell Lee, Tin-Suet Joan Chen, Zejia Zhang, Chelsea Xu, Jianping |
author_sort | Leong, Russell |
collection | PubMed |
description | Since the beginning of 2020, COVID-19 has been the biggest public health crisis in the world. To help develop appropriate public health measures and deploy corresponding resources, many governments have been actively tracking COVID-19 in real time within their jurisdictions. However, one of the key unresolved issues is whether COVID-19 was distributed differently among different age groups and between the two sexes in the ongoing pandemic. The objectives of this study were to use publicly available data to investigate the relative distributions of COVID-19 cases, hospitalizations, and deaths among age groups and between the sexes throughout 2020; and to analyze temporal changes in the relative frequencies of COVID-19 for each age group and each sex. Fifteen countries reported age group and/or sex data of patients with COVID-19. Our analyses revealed that different age groups and sexes were distributed differently in COVID-19 cases, hospitalizations, and deaths. However, there were differences among countries in both their age group and sex distributions. Though there was no consistent temporal change across all countries for any age group or either sex in COVID-19 cases, hospitalizations, and deaths, several countries showed statistically significant patterns. We discuss the potential mechanisms for these observations, the limitations of this study, and the implications of our results on the management of this ongoing pandemic. |
format | Online Article Text |
id | pubmed-8293195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82931952021-07-22 Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 Leong, Russell Lee, Tin-Suet Joan Chen, Zejia Zhang, Chelsea Xu, Jianping Infect Dis Rep Article Since the beginning of 2020, COVID-19 has been the biggest public health crisis in the world. To help develop appropriate public health measures and deploy corresponding resources, many governments have been actively tracking COVID-19 in real time within their jurisdictions. However, one of the key unresolved issues is whether COVID-19 was distributed differently among different age groups and between the two sexes in the ongoing pandemic. The objectives of this study were to use publicly available data to investigate the relative distributions of COVID-19 cases, hospitalizations, and deaths among age groups and between the sexes throughout 2020; and to analyze temporal changes in the relative frequencies of COVID-19 for each age group and each sex. Fifteen countries reported age group and/or sex data of patients with COVID-19. Our analyses revealed that different age groups and sexes were distributed differently in COVID-19 cases, hospitalizations, and deaths. However, there were differences among countries in both their age group and sex distributions. Though there was no consistent temporal change across all countries for any age group or either sex in COVID-19 cases, hospitalizations, and deaths, several countries showed statistically significant patterns. We discuss the potential mechanisms for these observations, the limitations of this study, and the implications of our results on the management of this ongoing pandemic. MDPI 2021-06-21 /pmc/articles/PMC8293195/ /pubmed/34205538 http://dx.doi.org/10.3390/idr13020054 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Leong, Russell Lee, Tin-Suet Joan Chen, Zejia Zhang, Chelsea Xu, Jianping Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title | Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title_full | Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title_fullStr | Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title_full_unstemmed | Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title_short | Global Temporal Patterns of Age Group and Sex Distributions of COVID-19 |
title_sort | global temporal patterns of age group and sex distributions of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293195/ https://www.ncbi.nlm.nih.gov/pubmed/34205538 http://dx.doi.org/10.3390/idr13020054 |
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