Evidence map›Paper›PMID 34205538›Full record

ArticleInfectious disease reports2021

Global Temporal Patterns of Age Group and Sex Distributions of COVID-19.

Russell Leong, Tin-Suet Joan Lee, Zejia Chen, Chelsea Zhang, Jianping Xu

Open access · goldAbstract read
In one paragraph

Article in Infectious disease reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Observational
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  4. Identifying age- and sex-specific COVID-19 mortality trends over time in six countries.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Russell LeongFaculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada.ORCID 0000-0002-5030-7487
Tin-Suet Joan LeeFaculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada.
Zejia ChenFaculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada.ORCID 0000-0002-4286-7871
Chelsea ZhangFaculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada.
Jianping XuDepartment of Biology and Institute of Infectious Diseases Research, McMaster University, Hamilton, ON L8S 4K1, Canada.ORCID 0000-0003-2915-2780
McMaster University · CA

Funding

Michael G. DeGroote Institute for Infectious Disease Research, McMaster University 2019-3
6 · The paper itself

Abstract

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.

Indexed as

case fatality ratesCOVID-19 casesCOVID-19 deathsCOVID-19 hospitalizationsnational dataweekly changes

Identifiers

PMID34205538
PMCPMC8293195
OpenAlexW3175672070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.