Ignite Creation Date:
2025-12-25 @ 3:03 AM
Ignite Modification Date:
2025-12-26 @ 1:43 AM
Study NCT ID:
NCT06162533
Status:
COMPLETED
Last Update Posted:
2023-12-08
First Post:
2023-11-30
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Severe Acute Respiratory Syndrome Coronavirus 2 Re-Infection Risk and Vaccine Efficacy in Austria
Sponsor:
Medical University of Graz
Organization:
Study Overview
Official Title:
SARS-CoV-2 Re-Infection Risk and Vaccine Efficacy in Austria: SARIVA Study
Status:
COMPLETED
Status Verified Date:
2023-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
SARIVA
Brief Summary:
The coronavirus disease 2019 (COVID-19) pandemic was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, we aim to evaluate how strong and how long are individuals in Austria after vaccination and/or infection with SARS-CoV-2 protected against COVID-19 disease.
In this project, we will analyze national health data from all inhabitants of Austria (about 9 million persons) during the COVID-19 pandemic. The population of Austria will be stratified into different groups according to previous vaccinations against SARS-CoV-2 and previous SARS-CoV-2 infections.
We primarily evaluate how strong and how long after vaccination against SARS-CoV-2 and/or infection with SARS-CoV-2, the risk for COVID-19 deaths is reduced or altered as compared to less vaccinated and/or infected persons. As secondary study aims, we perform such analyses also for SARS-CoV-2 infections, hospitalizations and intensive care unit (ICU) stays, with or due to SARS-CoV-2. These analyses will be performed during different time periods of the COVID-19 pandemic, and we will also perform various subgroup analyses as for example according to age and gender. Given that antibodies against SARS-CoV-2 are usually detected after vaccination and/or infection, we will use such antibody data from blood donors in Tyrol, to elucidate how well the national health data on SARS-CoV-2 infections and vaccinations match with the respective antibody data, and how well these antibody data indicate risk of COVID-19 deaths and infections.
We will calculate the probability of dying due to a SARS-CoV-2 infection (case/infection fatality rate) for different times of the COVID-19 pandemic, in order to document the health threat due to SARS-CoV-2. Based on all these data, we will calculate how many persons have to be vaccinated against SARS-CoV-2 to prevent one COVID-19 death at different times during this COVID-19 pandemic. We will consider the respective COVID-19 policies such as mask mandates, lock-downs, SARS-CoV-2 test mandates in our analyses and will evaluate the impact of these policies on COVID-19 deaths and diseases. In addition, we will evaluate data on total mortality according to the number of SARS-CoV-2 vaccinations and/or infections, and we will aim to collaborate with other research groups in order to extend our analyses.
In conclusion, the results of this study should provide an overview on the COVID-19 pandemic with respect to protection conferred by vaccinations and previous SARS-CoV-2 infections, as well as the health threat of SARS-CoV-2, in order to provide knowledge for future COVID-19 policy and future pandemics.
In this project, we will analyze national health data from all inhabitants of Austria (about 9 million persons) during the COVID-19 pandemic. The population of Austria will be stratified into different groups according to previous vaccinations against SARS-CoV-2 and previous SARS-CoV-2 infections.
We primarily evaluate how strong and how long after vaccination against SARS-CoV-2 and/or infection with SARS-CoV-2, the risk for COVID-19 deaths is reduced or altered as compared to less vaccinated and/or infected persons. As secondary study aims, we perform such analyses also for SARS-CoV-2 infections, hospitalizations and intensive care unit (ICU) stays, with or due to SARS-CoV-2. These analyses will be performed during different time periods of the COVID-19 pandemic, and we will also perform various subgroup analyses as for example according to age and gender. Given that antibodies against SARS-CoV-2 are usually detected after vaccination and/or infection, we will use such antibody data from blood donors in Tyrol, to elucidate how well the national health data on SARS-CoV-2 infections and vaccinations match with the respective antibody data, and how well these antibody data indicate risk of COVID-19 deaths and infections.
We will calculate the probability of dying due to a SARS-CoV-2 infection (case/infection fatality rate) for different times of the COVID-19 pandemic, in order to document the health threat due to SARS-CoV-2. Based on all these data, we will calculate how many persons have to be vaccinated against SARS-CoV-2 to prevent one COVID-19 death at different times during this COVID-19 pandemic. We will consider the respective COVID-19 policies such as mask mandates, lock-downs, SARS-CoV-2 test mandates in our analyses and will evaluate the impact of these policies on COVID-19 deaths and diseases. In addition, we will evaluate data on total mortality according to the number of SARS-CoV-2 vaccinations and/or infections, and we will aim to collaborate with other research groups in order to extend our analyses.
In conclusion, the results of this study should provide an overview on the COVID-19 pandemic with respect to protection conferred by vaccinations and previous SARS-CoV-2 infections, as well as the health threat of SARS-CoV-2, in order to provide knowledge for future COVID-19 policy and future pandemics.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: