Coronavirus disease 2019 and gender-related mortality in European countries: A meta-analysis

•The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository.•COVID-19-related mortality is higher in European men than in European women.•The male–female mortality risk ratio is 1.60 (95 % CI 1.53, 1.68). To examine mortality rates related to coro...

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Published in:Maturitas Vol. 141; pp. 59 - 62
Main Authors: Pérez-López, Faustino R., Tajada, Mauricio, Savirón-Cornudella, Ricardo, Sánchez-Prieto, Manuel, Chedraui, Peter, Terán, Enrique
Format: Journal Article
Language:English
Published: Ireland Elsevier B.V 01-11-2020
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Abstract •The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository.•COVID-19-related mortality is higher in European men than in European women.•The male–female mortality risk ratio is 1.60 (95 % CI 1.53, 1.68). To examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. PubMed, preprint medRxiv and bioRxiv repositories, and Google were searched for the terms COVID-19, mortality rates, gender, and Europe. Only Google provided a website with appropriate information. COVID-19 cases and deaths from European countries were extracted by gender from the Global Health 50/50 repository up to May 23, 2020. Extracted data included country, the total number of COVID-19 cases and the number of related deaths by gender. Random effects models with the inverse variance method were used for meta-analyses. Results are reported as death risk ratios (RRs). We identified information from 23 European countries that reported separately by gender mortality rates related to COVID-19. The sample comprised 484,919 men and 605,229 women positive for COVID-19. The mortality rate was significantly higher in men than in women (risk ratio = 1.60, 95 % confidence interval [CI] 1.53, 1.68). The trend was similar when countries reporting < 5000, or < 10,000 cases were excluded from the analysis (RR = 1.60, 95 % CI 1.52, 1.69 and RR = 1.68; CI 1.62, 1.76, respectively). In Europe, the new zoonotic coronavirus causes significantly more deaths in men than in women.
AbstractList • The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository. • COVID-19-related mortality is higher in European men than in European women. • The male–female mortality risk ratio is 1.60 (95 % CI 1.53, 1.68).
To examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. PubMed, preprint medRxiv and bioRxiv repositories, and Google were searched for the terms COVID-19, mortality rates, gender, and Europe. Only Google provided a website with appropriate information. COVID-19 cases and deaths from European countries were extracted by gender from the Global Health 50/50 repository up to May 23, 2020. Extracted data included country, the total number of COVID-19 cases and the number of related deaths by gender. Random effects models with the inverse variance method were used for meta-analyses. Results are reported as death risk ratios (RRs). We identified information from 23 European countries that reported separately by gender mortality rates related to COVID-19. The sample comprised 484,919 men and 605,229 women positive for COVID-19. The mortality rate was significantly higher in men than in women (risk ratio = 1.60, 95 % confidence interval [CI] 1.53, 1.68). The trend was similar when countries reporting < 5000, or < 10,000 cases were excluded from the analysis (RR = 1.60, 95 % CI 1.52, 1.69 and RR = 1.68; CI 1.62, 1.76, respectively). In Europe, the new zoonotic coronavirus causes significantly more deaths in men than in women.
•The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository.•COVID-19-related mortality is higher in European men than in European women.•The male–female mortality risk ratio is 1.60 (95 % CI 1.53, 1.68). To examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. PubMed, preprint medRxiv and bioRxiv repositories, and Google were searched for the terms COVID-19, mortality rates, gender, and Europe. Only Google provided a website with appropriate information. COVID-19 cases and deaths from European countries were extracted by gender from the Global Health 50/50 repository up to May 23, 2020. Extracted data included country, the total number of COVID-19 cases and the number of related deaths by gender. Random effects models with the inverse variance method were used for meta-analyses. Results are reported as death risk ratios (RRs). We identified information from 23 European countries that reported separately by gender mortality rates related to COVID-19. The sample comprised 484,919 men and 605,229 women positive for COVID-19. The mortality rate was significantly higher in men than in women (risk ratio = 1.60, 95 % confidence interval [CI] 1.53, 1.68). The trend was similar when countries reporting < 5000, or < 10,000 cases were excluded from the analysis (RR = 1.60, 95 % CI 1.52, 1.69 and RR = 1.68; CI 1.62, 1.76, respectively). In Europe, the new zoonotic coronavirus causes significantly more deaths in men than in women.
OBJECTIVETo examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. METHODSPubMed, preprint medRxiv and bioRxiv repositories, and Google were searched for the terms COVID-19, mortality rates, gender, and Europe. Only Google provided a website with appropriate information. COVID-19 cases and deaths from European countries were extracted by gender from the Global Health 50/50 repository up to May 23, 2020. Extracted data included country, the total number of COVID-19 cases and the number of related deaths by gender. Random effects models with the inverse variance method were used for meta-analyses. Results are reported as death risk ratios (RRs). RESULTSWe identified information from 23 European countries that reported separately by gender mortality rates related to COVID-19. The sample comprised 484,919 men and 605,229 women positive for COVID-19. The mortality rate was significantly higher in men than in women (risk ratio = 1.60, 95 % confidence interval [CI] 1.53, 1.68). The trend was similar when countries reporting < 5000, or < 10,000 cases were excluded from the analysis (RR = 1.60, 95 % CI 1.52, 1.69 and RR = 1.68; CI 1.62, 1.76, respectively). CONCLUSIONIn Europe, the new zoonotic coronavirus causes significantly more deaths in men than in women.
Author Terán, Enrique
Pérez-López, Faustino R.
Tajada, Mauricio
Sánchez-Prieto, Manuel
Savirón-Cornudella, Ricardo
Chedraui, Peter
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  surname: Chedraui
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  surname: Terán
  fullname: Terán, Enrique
  organization: Colegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador
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Keywords COVID-19
SARS-CoV-2
Mortality
Coronavirus 2019
Fatalities
Gender
Global health 50/50
Language English
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Snippet •The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository.•COVID-19-related mortality is higher in...
To examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. PubMed, preprint medRxiv and bioRxiv...
OBJECTIVETo examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. METHODSPubMed, preprint medRxiv and...
• The article presents a meta-analysis of COVID-19-related mortality data from the Global Health 50/50 repository. • COVID-19-related mortality is higher in...
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StartPage 59
SubjectTerms Betacoronavirus
Coronavirus 2019
Coronavirus Infections - mortality
COVID-19
Europe - epidemiology
Fatalities
Female
Gender
Global health 50/50
Humans
Male
Mortality
Pandemics
Pneumonia, Viral - mortality
SARS-CoV-2
Sex Distribution
Title Coronavirus disease 2019 and gender-related mortality in European countries: A meta-analysis
URI https://dx.doi.org/10.1016/j.maturitas.2020.06.017
https://www.ncbi.nlm.nih.gov/pubmed/33036704
https://search.proquest.com/docview/2449959020
https://pubmed.ncbi.nlm.nih.gov/PMC7309755
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