Seroprevalence of SARS-CoV-2 infection in the Tyrolean district of Schwaz at the time of the rapid mass vaccination in March 2021 following B.1.351-variant outbreak.

In order to curb the rapid dissemination of the B.1.351 variant of SARS-CoV-2 in the district of Schwaz and beyond, the EU allocated additional vaccine doses at the beginning of March 2021 to implement a rapid mass vaccination of the population (16+). The aim of our study was to determine the seroprevalence of SARS-CoV-2 among the adult population in the district of Schwaz at the time of the implementation. Data on previous history of infections, symptoms and immunization status were collected using a structured questionnaire. Blood samples were used to determine SARS-CoV-2 specific anti-spike, anti-nucleocapsid and neutralizing antibodies. We recruited 2,474 individuals with a median age (IQR) of 42 (31-54) years. Using the official data on distribution of age and sex, we found a standardized prevalence of undocumented infections at 15.0% (95% CI: 13.2-16.7). Taken together with the officially documented infections, we estimated that 24.0% (95% CI: 22.5-25.6) of the adult population had prior SARS-CoV-2 infection. Hence, the proportion of undocumented infections identified by our study was 55.8% (95% CI: 52.7-58.5). With a vaccination coverage of 10% among the adults population at that time, we imply that a minimum of two-thirds of the target popuation was susceptible to the circulating threat when this unique campaign started.

Variation in patterns and volumes of injuries admitted to a level one trauma center during lockdown for COVID-19.

INTRODUCTION: Due to the global COVID-19 pandemic, a ban on sports outside one's home and a prohibition on travel between communities were imposed in spring 2020 in Tyrol, Austria. The aim of this study was to evaluate the impact of these restrictions on a level one trauma center. The objective was to identify the most common injury patterns to ensure targeted prevention in times of an ongoing pandemic. MATERIAL AND METHODS: Patients who presented themselves to our trauma center between weeks 7 and 22 in 2020 were retrospectively compared to a mean of the patients of the three previous years (2017-2019). The evaluated variables were the number of patients, age, gender, country of residence, place of accident, time of treatment, injured body region and anatomical structure, number of surgical intervention and severely injured patients. RESULTS: Comparing the mean count of treated patients per week in 2020 of the pre-lockdown period (n = 804.6) with the lockdown period (n = 201.8) a decrease in admissions by 69.7% could be observed. The admission incidence was 9.9 times higher in previous years than in 2020 during the lockdown period. Among the injuries treated during the lockdown the largest increase in relative numbers was in home injuries, head or face injuries and superficial or penetrating injuries. There was a decrease of seriously injured patients as well as patients that needed surgery during the lockdown compared to previous years. CONCLUSIONS: We observed a significant change in the pattern and volume of injuries during a strict lockdown. Intervention programs to reduce the risk of home injuries should be introduced. Furthermore, in order to save resources during a pandemic, specific guidelines on patient management and treatment should be established for the respective medical specialties. TRIAL REGISTRATION: 1157/2020, 10.12.2020.

Estimating seroprevalence of SARS-CoV-2 antibodies using three self-reported symptoms: development of a prediction model based on data from Ischgl, Austria.

We report the development of a regression model to predict the prevalence of severe acute respiratory syndrome coronavirus (SARS-CoV-2) antibodies on a population level based on self-reported symptoms. We assessed participant-reported symptoms in the past 12 weeks, as well as the presence of SARS-CoV-2 antibodies during a study conducted in April 2020 in Ischgl, Austria. We conducted multivariate binary logistic regression to predict seroprevalence in the sample. Participants (n = 451) were on average 47.4 years old (s.d. 16.8) and 52.5% female. SARS-CoV-2 antibodies were found in n = 197 (43.7%) participants. In the multivariate analysis, three significant predictors were included and the odds ratios (OR) for the most predictive categories were cough (OR 3.34, CI 1.70-6.58), gustatory/olfactory alterations (OR 13.78, CI 5.90-32.17) and limb pain (OR 2.55, CI 1.20-6.50). The area under the receiver operating characteristic curve was 0.773 (95% CI 0.727-0.820). Our regression model may be used to estimate the seroprevalence on a population level and a web application is being developed to facilitate the use of the model.