Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants
BackgroundCOVID-19 is constantly evolving, and highly populated communities consist of many different characteristics that may contribute to COVID-19 health outcomes. Therefore, we aimed to (1) quantify the relationships between county characteristics and severe and non-severe county-level health ou...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252668/full |
| _version_ | 1797595122290917376 |
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| author | Alexander A. Bruckhaus Yujia Zhang Sana Salehi Aidin Abedi Aidin Abedi Aidin Abedi Dominique Duncan |
| author_facet | Alexander A. Bruckhaus Yujia Zhang Sana Salehi Aidin Abedi Aidin Abedi Aidin Abedi Dominique Duncan |
| author_sort | Alexander A. Bruckhaus |
| collection | DOAJ |
| description | BackgroundCOVID-19 is constantly evolving, and highly populated communities consist of many different characteristics that may contribute to COVID-19 health outcomes. Therefore, we aimed to (1) quantify the relationships between county characteristics and severe and non-severe county-level health outcomes related to COVID-19. We also aimed to (2) compare these relationships across time periods where the Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants were dominant in the U.S.MethodsWe used multiple regression to measure the strength of relationships between healthcare outcomes and county characteristics in the 50 most populous U.S. counties.ResultsWe found many different significant predictors including the proportion of a population vaccinated, median household income, population density, and the proportion of residents aged 65+, but mainly found that socioeconomic factors and the proportion of a population vaccinated play a large role in the dynamics of the spread and severity of COVID-19 in communities with high populations.DiscussionThe present study shines light on the associations between public health outcomes and county characteristics and how these relationships change throughout Delta and Omicron’s dominance. It is important to understand factors underlying COVID-19 health outcomes to prepare for future health crises. |
| first_indexed | 2024-03-11T02:31:58Z |
| format | Article |
| id | doaj.art-aaed85949fdf4629913c038037c4434a |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-11T02:31:58Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-aaed85949fdf4629913c038037c4434a2023-11-18T10:11:02ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-11-011110.3389/fpubh.2023.12526681252668Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variantsAlexander A. Bruckhaus0Yujia Zhang1Sana Salehi2Aidin Abedi3Aidin Abedi4Aidin Abedi5Dominique Duncan6Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United StatesLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United StatesLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United StatesUSC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, United StatesDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United StatesRancho Research Institute, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United StatesLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United StatesBackgroundCOVID-19 is constantly evolving, and highly populated communities consist of many different characteristics that may contribute to COVID-19 health outcomes. Therefore, we aimed to (1) quantify the relationships between county characteristics and severe and non-severe county-level health outcomes related to COVID-19. We also aimed to (2) compare these relationships across time periods where the Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants were dominant in the U.S.MethodsWe used multiple regression to measure the strength of relationships between healthcare outcomes and county characteristics in the 50 most populous U.S. counties.ResultsWe found many different significant predictors including the proportion of a population vaccinated, median household income, population density, and the proportion of residents aged 65+, but mainly found that socioeconomic factors and the proportion of a population vaccinated play a large role in the dynamics of the spread and severity of COVID-19 in communities with high populations.DiscussionThe present study shines light on the associations between public health outcomes and county characteristics and how these relationships change throughout Delta and Omicron’s dominance. It is important to understand factors underlying COVID-19 health outcomes to prepare for future health crises.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252668/fullCOVID-19public healthsocioeconomic factorsregression analysisCOVID-19 vaccines |
| spellingShingle | Alexander A. Bruckhaus Yujia Zhang Sana Salehi Aidin Abedi Aidin Abedi Aidin Abedi Dominique Duncan Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants Frontiers in Public Health COVID-19 public health socioeconomic factors regression analysis COVID-19 vaccines |
| title | Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants |
| title_full | Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants |
| title_fullStr | Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants |
| title_full_unstemmed | Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants |
| title_short | Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants |
| title_sort | relationships between covid 19 healthcare outcomes and county characteristics in the u s for delta b 1 617 2 and omicron b 1 1 529 and ba 1 1 variants |
| topic | COVID-19 public health socioeconomic factors regression analysis COVID-19 vaccines |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252668/full |
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