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COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study
Background In 2023, breakthrough COVID-19 infections among vaccinated individuals and reinfections in previously infected people have become common. Additionally, infections are due to Omicron subvariants of the virus that behave differently from those at the onset of the pandemic. Understanding how...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482361/ https://www.ncbi.nlm.nih.gov/pubmed/37680261 http://dx.doi.org/10.7759/cureus.44684 |
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author | Ko, Luke Malet, Gary Chang, Lisa L Nguyen, Huu Mayes, Robert |
author_facet | Ko, Luke Malet, Gary Chang, Lisa L Nguyen, Huu Mayes, Robert |
author_sort | Ko, Luke |
collection | PubMed |
description | Background In 2023, breakthrough COVID-19 infections among vaccinated individuals and reinfections in previously infected people have become common. Additionally, infections are due to Omicron subvariants of the virus that behave differently from those at the onset of the pandemic. Understanding how vaccination and natural immunity influence COVID-19 infection rates is crucial, especially in high-density congregate settings such as prisons, to inform public health strategies. Methods We analyzed COVID-19 surveillance data from January to July 2023 across 33 California state prisons, primarily a male population of 96,201 individuals. We computed the incidence rate of new COVID-19 infections among COVID-bivalent-vaccinated and entirely unvaccinated groups (those not having received either the bivalent or monovalent vaccine). Results Our results indicate that the infection rates in the bivalent-vaccinated and entirely unvaccinated groups are 3.24% (95% confidence interval (CI): 3.06-3.42%) and 2.72% (CI: 2.50-2.94%), respectively, with an absolute risk difference of only 0.52%. When the data were filtered for those aged 50 and above, the infection rates were 4.07% (CI: 3.77-4.37%) and 3.1% (CI: 2.46-3.74%), respectively, revealing a mere 0.97% absolute risk difference. Among those aged 65 and above, the infection rates were 6.45% (CI: 5.74-7.16%) and 4.5% (CI: 2.57-6.43%), respectively, with an absolute risk difference of 1.95%. Conclusion We note low infection rates in both the vaccinated and unvaccinated groups, with a small absolute difference between the two across age groups. A combination of monovalent and bivalent vaccines and natural infections likely contributed to immunity and a lower level of infection rates compared to the height of the pandemic. It is possible that a degree of 'herd immunity' has been achieved. Yet, using p<0.05 as the threshold for statistical significance, the bivalent-vaccinated group had a slightly but statistically significantly higher infection rate than the unvaccinated group in the statewide category and the age ≥50 years category. However, in the older age category (≥65 years), there was no significant difference in infection rates between the two groups. This suggests that while the bivalent vaccine might offer protection against severe outcomes, it may not significantly reduce the risk of infections entirely. Further research is needed to understand the reasons behind these findings and to consider other factors, such as underlying health conditions. This study underscores the importance of developing vaccines that target residual COVID-19 infections, especially in regard to evolving COVID-19 variants. |
format | Online Article Text |
id | pubmed-10482361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-104823612023-09-07 COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study Ko, Luke Malet, Gary Chang, Lisa L Nguyen, Huu Mayes, Robert Cureus Infectious Disease Background In 2023, breakthrough COVID-19 infections among vaccinated individuals and reinfections in previously infected people have become common. Additionally, infections are due to Omicron subvariants of the virus that behave differently from those at the onset of the pandemic. Understanding how vaccination and natural immunity influence COVID-19 infection rates is crucial, especially in high-density congregate settings such as prisons, to inform public health strategies. Methods We analyzed COVID-19 surveillance data from January to July 2023 across 33 California state prisons, primarily a male population of 96,201 individuals. We computed the incidence rate of new COVID-19 infections among COVID-bivalent-vaccinated and entirely unvaccinated groups (those not having received either the bivalent or monovalent vaccine). Results Our results indicate that the infection rates in the bivalent-vaccinated and entirely unvaccinated groups are 3.24% (95% confidence interval (CI): 3.06-3.42%) and 2.72% (CI: 2.50-2.94%), respectively, with an absolute risk difference of only 0.52%. When the data were filtered for those aged 50 and above, the infection rates were 4.07% (CI: 3.77-4.37%) and 3.1% (CI: 2.46-3.74%), respectively, revealing a mere 0.97% absolute risk difference. Among those aged 65 and above, the infection rates were 6.45% (CI: 5.74-7.16%) and 4.5% (CI: 2.57-6.43%), respectively, with an absolute risk difference of 1.95%. Conclusion We note low infection rates in both the vaccinated and unvaccinated groups, with a small absolute difference between the two across age groups. A combination of monovalent and bivalent vaccines and natural infections likely contributed to immunity and a lower level of infection rates compared to the height of the pandemic. It is possible that a degree of 'herd immunity' has been achieved. Yet, using p<0.05 as the threshold for statistical significance, the bivalent-vaccinated group had a slightly but statistically significantly higher infection rate than the unvaccinated group in the statewide category and the age ≥50 years category. However, in the older age category (≥65 years), there was no significant difference in infection rates between the two groups. This suggests that while the bivalent vaccine might offer protection against severe outcomes, it may not significantly reduce the risk of infections entirely. Further research is needed to understand the reasons behind these findings and to consider other factors, such as underlying health conditions. This study underscores the importance of developing vaccines that target residual COVID-19 infections, especially in regard to evolving COVID-19 variants. Cureus 2023-09-04 /pmc/articles/PMC10482361/ /pubmed/37680261 http://dx.doi.org/10.7759/cureus.44684 Text en Copyright © 2023, Ko et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Infectious Disease Ko, Luke Malet, Gary Chang, Lisa L Nguyen, Huu Mayes, Robert COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title | COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title_full | COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title_fullStr | COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title_full_unstemmed | COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title_short | COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study |
title_sort | covid-19 infection rates in vaccinated and unvaccinated inmates: a retrospective cohort study |
topic | Infectious Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482361/ https://www.ncbi.nlm.nih.gov/pubmed/37680261 http://dx.doi.org/10.7759/cureus.44684 |
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