Prospective COVID-19 post-Immunization Serological Cohort in Munich - Determination of immune response in vaccinated subjects
- Conditions
- COVID-19SARS-CoV-2
- Registration Number
- DRKS00030407
- Lead Sponsor
- Abteilung für Infektions- und Tropenmedizin, LMU Klinikum
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 6500
Inclusion Criteria
Adult (over 18 years) individuals from the Munich municipality and from counties (Landkreise) in the vicinity of Munich who received their first COVID-19 vaccination and – after thorough information and consideration - explicitly consent to the study procedures.
Exclusion Criteria
Diseases and conditions that impede an informant consent, insufficient command of the German language to a degree that impedes informed consent.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Seroprevalence and -incidence of SARS-CoV-2 antibodies in Health Care Workers in the Munich population
- Secondary Outcome Measures
Name Time Method Baseline visit:<br>- Determining the baseline immune status of people who are receiving Covid-19-vaccines in Munich and the prevalence of individuals (silently and symptomatic) infected before vaccination.<br>Follow-up visits:<br>- Describe and compare the dynamics of antibody titers of vaccinated individuals over time and in relation to the vaccine they received or preexisting immunity.<br>- Determine the relative risk of post-immunization infection with COVID-19 (variants) in relation to the antibody titer at the time of infection. In the case of post-immunization infections, the affected individuals should be recruited by other studies which analyse breakthrough infections more specifically. <br>- Collect through a short, structured questionnaire data on COVID-infection-19 status, vaccine status, factors that may influence immune response (e.g. immune suppression) and basic demographic data that allow a matching of population demographics with data of the KoCo19 study.