The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic

Achim Doerre; Gabriele Doblhammer

doi:10.1371/journal.pone.0268119

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Open Access

Peer-reviewed

Research Article

The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic

Achim Doerre ,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: achim.doerre@gmail.com

Affiliation Department of Economics, University of Rostock, Rostock, Germany

https://orcid.org/0000-0001-9297-3675

⨯
Gabriele Doblhammer

Roles Conceptualization, Investigation, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Sociology and Demography, University of Rostock, Rostock, Germany
⨯

The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic

Achim Doerre,
Gabriele Doblhammer

Published: May 6, 2022
https://doi.org/10.1371/journal.pone.0268119

About the Authors

Achim Doerre

Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: achim.doerre@gmail.com

Affiliation Department of Economics, University of Rostock, Rostock, Germany

https://orcid.org/0000-0001-9297-3675

Gabriele Doblhammer

Roles Conceptualization, Investigation, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Sociology and Demography, University of Rostock, Rostock, Germany

Competing Interests

The authors have declared that no competing interests exist.

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COVID 19
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Death rates
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Infectious disease epidemiology
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Medical risk factors
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Age groups
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Compartment models
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Sex ratio
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Pandemics
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