COVID-19 Clinical Trial
— SARIVAOfficial title:
SARS-CoV-2 Re-Infection Risk and Vaccine Efficacy in Austria: SARIVA Study
NCT number | NCT06162533 |
Other study ID # | SARIVA 1.0. |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | July 1, 2023 |
Est. completion date | July 1, 2023 |
Verified date | November 2023 |
Source | Medical University of Graz |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 9090868 |
Est. completion date | July 1, 2023 |
Est. primary completion date | July 1, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Residency in Austria. Exclusion Criteria: - None. |
Country | Name | City | State |
---|---|---|---|
Austria | Medical University of Graz | Graz | |
Austria | Medical University of Innsbruck | Innsbruck | |
Austria | Austrian Agency for Health and Food Safety | Vienna |
Lead Sponsor | Collaborator |
---|---|
Medical University of Graz | AGES, Austrian Science Fund (FWF), Medical University Innsbruck |
Austria,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | COVID-19 death | Death due to COVID-19 | January 1, 2000 to June 30, 2023 | |
Secondary | SARS-CoV-2 infection | Documented SARS-CoV-2 infection | January 1, 2000 to June 30, 2023 | |
Secondary | ICU stay | ICU stay of COVID-19 patients | January 1, 2000 to June 30, 2023 | |
Secondary | Hospitalization | Hospitalization of COVID-19 patients | January 1, 2000 to June 30, 2023 | |
Secondary | All-cause mortality | Death due to all-causes | January 1, 2000 to June 30, 2023 |
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