A national growth mixture modeling analysis of county-level COVID-19 incidence rate trajectories and health inequities during three successive pandemic waves in 2020 Article Swipe
Pengsheng Ni
,
Julie Alperen
,
Tara Tripp
,
Prasad Patil
,
Michael Rickles
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-25074-5
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-25074-5
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Metadata
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- Language
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- https://doi.org/10.1038/s41598-025-25074-5
- https://www.nature.com/articles/s41598-025-25074-5.pdf
- OA Status
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- References
- 34
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4416460180Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-025-25074-5Digital Object Identifier
- Title
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A national growth mixture modeling analysis of county-level COVID-19 incidence rate trajectories and health inequities during three successive pandemic waves in 2020Work title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
- Publication date
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2025-11-21Full publication date if available
- Authors
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Pengsheng Ni, Julie Alperen, Tara Tripp, Prasad Patil, Michael RicklesList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-025-25074-5Publisher landing page
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https://www.nature.com/articles/s41598-025-25074-5.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-025-25074-5.pdfDirect OA link when available
- Cited by
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0Total citation count in OpenAlex
- References (count)
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34Number of works referenced by this work
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