Cargando…

An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA

BACKGROUND: The objective of the study was to measure the risk of death due to COVID-19 in relation to individuals’ characteristics, and severity of their disease during the dominant periods of Alpha, Delta, and Omicron variants have influenced mortality rates. METHODS: This study was conducted usin...

Descripción completa

Detalles Bibliográficos
Autores principales: Tabatabai, Mohammad, Juarez, Paul D., Matthews-Juarez, Patricia, Wilus, Derek M., Ramesh, Aramandla, Alcendor, Donald J., Tabatabai, Niki, Singh, Karan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125879/
https://www.ncbi.nlm.nih.gov/pubmed/37083205
http://dx.doi.org/10.1177/21501319231170164
_version_ 1785030118947684352
author Tabatabai, Mohammad
Juarez, Paul D.
Matthews-Juarez, Patricia
Wilus, Derek M.
Ramesh, Aramandla
Alcendor, Donald J.
Tabatabai, Niki
Singh, Karan P.
author_facet Tabatabai, Mohammad
Juarez, Paul D.
Matthews-Juarez, Patricia
Wilus, Derek M.
Ramesh, Aramandla
Alcendor, Donald J.
Tabatabai, Niki
Singh, Karan P.
author_sort Tabatabai, Mohammad
collection PubMed
description BACKGROUND: The objective of the study was to measure the risk of death due to COVID-19 in relation to individuals’ characteristics, and severity of their disease during the dominant periods of Alpha, Delta, and Omicron variants have influenced mortality rates. METHODS: This study was conducted using COVID-19 Centers for Disease Control and Prevention (CDC) Case Surveillance Public Data Taskforce for 57 states, and United States territories between January 1, 2020 and March 20, 2022. Multivariable binary Hyperbolastic regression of type I was used to analyzes the data. RESULTS: Seniors and ICU-admitted patients had the highest risk of death. For each additional percent increase in fully vaccinated individuals, the odds of death deceased by 1%. The odds of death prior to vaccine availability, compared to post vaccine availability, was 1.27. When comparing the time periods each variant was dominant, the odds of death was 3.45-fold higher during Delta compared to Alpha. All predictor variables had P-values ≤.001. CONCLUSION: There was a noticeable difference in the odds of death among subcategories of age, race/ethnicity, sex, PMCs, hospitalization, ICU, vaccine availability, variant, and percent of fully vaccinated individuals.
format Online
Article
Text
id pubmed-10125879
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-101258792023-04-25 An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA Tabatabai, Mohammad Juarez, Paul D. Matthews-Juarez, Patricia Wilus, Derek M. Ramesh, Aramandla Alcendor, Donald J. Tabatabai, Niki Singh, Karan P. J Prim Care Community Health Original Research BACKGROUND: The objective of the study was to measure the risk of death due to COVID-19 in relation to individuals’ characteristics, and severity of their disease during the dominant periods of Alpha, Delta, and Omicron variants have influenced mortality rates. METHODS: This study was conducted using COVID-19 Centers for Disease Control and Prevention (CDC) Case Surveillance Public Data Taskforce for 57 states, and United States territories between January 1, 2020 and March 20, 2022. Multivariable binary Hyperbolastic regression of type I was used to analyzes the data. RESULTS: Seniors and ICU-admitted patients had the highest risk of death. For each additional percent increase in fully vaccinated individuals, the odds of death deceased by 1%. The odds of death prior to vaccine availability, compared to post vaccine availability, was 1.27. When comparing the time periods each variant was dominant, the odds of death was 3.45-fold higher during Delta compared to Alpha. All predictor variables had P-values ≤.001. CONCLUSION: There was a noticeable difference in the odds of death among subcategories of age, race/ethnicity, sex, PMCs, hospitalization, ICU, vaccine availability, variant, and percent of fully vaccinated individuals. SAGE Publications 2023-04-21 /pmc/articles/PMC10125879/ /pubmed/37083205 http://dx.doi.org/10.1177/21501319231170164 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Tabatabai, Mohammad
Juarez, Paul D.
Matthews-Juarez, Patricia
Wilus, Derek M.
Ramesh, Aramandla
Alcendor, Donald J.
Tabatabai, Niki
Singh, Karan P.
An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title_full An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title_fullStr An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title_full_unstemmed An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title_short An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA
title_sort analysis of covid-19 mortality during the dominancy of alpha, delta, and omicron in the usa
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125879/
https://www.ncbi.nlm.nih.gov/pubmed/37083205
http://dx.doi.org/10.1177/21501319231170164
work_keys_str_mv AT tabatabaimohammad ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT juarezpauld ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT matthewsjuarezpatricia ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT wilusderekm ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT ramesharamandla ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT alcendordonaldj ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT tabatabainiki ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT singhkaranp ananalysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT tabatabaimohammad analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT juarezpauld analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT matthewsjuarezpatricia analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT wilusderekm analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT ramesharamandla analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT alcendordonaldj analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT tabatabainiki analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa
AT singhkaranp analysisofcovid19mortalityduringthedominancyofalphadeltaandomicronintheusa