Related Experiment Video
Updated: Oct 7, 2025

06:34
An Optimized Hemagglutination Inhibition HI Assay to Quantify Influenza-specific Antibody Titers
Published on: December 1, 2017
36.7K
COVID-19: vaccination vs. hospitalization.
Oguz Uzun1,2, Tekin Akpolat3, Ayhan Varol4
1Department of Pulmonary Medicine, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey. oguzuzun67@yahoo.com.tr.
Infection
|January 5, 2022
Summary
COVID-19 vaccination significantly reduced hospitalizations. A booster dose, particularly BioNTech after two Sinovac doses, enhanced protection, suggesting vaccination is key to controlling the pandemic.
Area of Science:
- Infectious Diseases
- Immunology
- Public Health
Background:
- Coronavirus disease 2019 (COVID-19) pandemic control relies heavily on vaccination.
- Vaccination rates globally remain below optimal levels, necessitating studies on vaccine effectiveness.
Purpose of the Study:
- To assess the vaccination status of hospitalized patients.
- To compare the effectiveness of two different COVID-19 booster vaccine protocols.
Main Methods:
- A multicenter study involving 1401 patients hospitalized between August 1-10, 2021, across 25 hospitals in 16 cities.
- Patients were categorized into eight groups based on vaccination status, including unvaccinated, two doses of Sinovac, and various booster combinations.
- Data collection focused on hospitalization and intensive care unit (ICU) admission rates.
Main Results:
- Nearly half (47.8%) of hospitalized patients were unvaccinated; 32.9% had received two doses of Sinovac.
- Hospitalizations were lower in patients who received two Sinovac doses followed by a BioNTech booster compared to those who received three Sinovac doses.
- 37.7% of all patients required intensive care unit admission.
Conclusions:
- Effective COVID-19 vaccination strategies are crucial for reducing hospitalizations.
- While the efficacy of two Sinovac doses may wane, a booster dose, especially with BioNTech, can enhance protection.
- The study highlights the importance of vaccination and suggests potential strategies to encourage uptake among unvaccinated individuals.
Related Concept Videos
Vaccinations
45.7K
Overview
45.7K
Contingency Table
2.7K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.7K
Causality in Epidemiology
1.0K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.0K
Hospitals-I
952
Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
952
Controls in Experiments
13.4K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
13.4K
Comparing the Survival Analysis of Two or More Groups
335
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
335

