Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: statistical methods

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: July 3, 2024

Introduction The COVID-19 pandemic has profoundly impacted global health systems, requiring the monitoring of infection waves and strategies to control transmission. Estimating time-varying reproduction number is crucial for understanding epidemic guiding interventions. Methods Probability distributions serial interval are estimated Pre-Delta Delta periods. We conducted a comparative analysis numbers, taking into account population immunity variant differences. incorporated regional heterogeneity age distribution population, as well evolving variants vaccination rates over time. transmission dynamics were analyzed with vaccination. Results computed without considering variant-based immunity. In addition, values significantly differed by variants, emphasizing immunity’s importance. Enhanced efforts stringent measures effective in reducing variant. Conversely, appeared less influenced levels, due lower rates. Furthermore, during period, there was significant difference between region-specific non-region-specific particularly distinct pattern differences observed Gangwon, Gyeongbuk, Jeju Korea. Discussion This research elucidates concerning dominance variant, efficacy vaccinations, influence levels. It highlights necessity targeted interventions extensive coverage. study makes contribution disease mechanisms informs public strategies.

Language: Английский

Coronavirus (COVID-19) Pandemic – A Comprehensive Review of Demographics, Comorbidities, Vaccines, Therapeutic Development, Blood Type, and Long Covid

Annals of Public Health Reports, Journal Year: 2023, Volume and Issue: 7(1)

Published: March 11, 2023

The study summarizes the pandemic COVID-19's impact on symptoms, demographics, comorbidities, and vaccine therapeutic development demonstrates an association with cases mortality for past two years.

Language: Английский

Logistic regression analysis of the value of biomarkers, clinical symptoms, and imaging examinations in COVID-19 for SARS-CoV-2 nucleic acid detection

Medicine, Journal Year: 2024, Volume and Issue: 103(19), P. e38186 - e38186

Published: May 10, 2024

The detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleic acid provides a direct basis for diagnosing Disease 2019. However, test false-negative results are common in practice and may lead to missed diagnosis. Certain biomarkers, clinical symptoms, imaging examinations related SARS-CoV-2 potential predictors. We examined results, examination data 116 confirmed cases asymptomatic infections Zhuhai, China. Patients were divided into acid-positive -false-negative groups. Predictive values the rate calculated by Least Absolute Shrinkage Selection Operators regression analysis binary logistic analysis, areas under curve these indicators calculated. Hemoglobin (OR = 1.018, 95% CI: 1.006–1.030; P .004) was higher respiratory tract-positive group than acid-negative group, but platelets 0.996, 0.993–0.999; .021) eosinophils 0.013, 0.001–0.253; lower; 0.563, 0.614, 0.642, respectively. Some biomarkers can predict viral rates 2019 auxiliary diagnostic tests.

Language: Английский