Tracking temporal variations of fatality and symptomology correlated with COVID-19 dominant variants and vaccine effectiveness in the United States

• Main Authors: Shao Lin (Author), Han Liu (Author), Quan Qi (Author), Ian Trees (Author), Donghong Gao (Author), Samantha Friedman (Author), Xiaobo Romeiko Xue (Author), David Lawrence (Author)
• Formato: Libro
• Publicado: Frontiers Media S.A., 2024-09-01T00:00:00Z.
• Subjects: article
• Acceso en liña: Connect to this object online.

Summary

IntroductionWe described how COVID-19 fatality and symptoms varied by dominant variant and vaccination in the US.MethodsUsing the Restricted Access Dataset from the US CDC (1/1/2020-10/20/2022), we conducted a cross-sectional study assessing differences in COVID-19 deaths, severity indicators (hospitalization, ICU, pneumonia, abnormal X-ray, acute respiratory distress syndrome, mechanical ventilation) and 12 mild symptoms by dominant variant/vaccination periods using logistic regression after controlling for confounders.ResultsWe found the highest fatality during the dominant periods of Wild (4.6%) and Delta (3.4%). Most severe symptoms appeared when Delta was dominant (Rate range: 2.0-9.4%). Omicron was associated with higher mild symptoms than other variants. Vaccination showed consistent protection against death and severe symptoms for most variants (Risk Ratio range: 0.41-0.93). Boosters, especially the second, provided additional protection, reducing severe symptoms by over 50%.DiscussionThis dataset may serve as a useful tool to monitor temporospatial changes of fatality and symptom for case management and surveillance.

descrición da copia

2296-2565
10.3389/fpubh.2024.1419886