Skip to main content

Antibody seroprevalence and rate of asymptomatic infections with SARS-CoV-2 in Austrian hospital personnel

Abstract

Background

The aims of this study are to determine (i) SARS-CoV-2 antibody positive employees in Austrian trauma hospitals and rehabilitation facilities, (ii) number of active virus carriers (symptomatic and asymptomatic) during the study, (iii) antibody decline in seropositive subjects over a period of around 6 months, (iv) the usefulness of rapid antibody tests for outpatient screening.

Method

A total of 3301 employees in 11 Austrian trauma hospitals and rehabilitation facilities of the Austrian Social Insurance for Occupational Risks (AUVA) participated in this open uncontrolled prospective cohort study.

Rapid lateral flow tests, detecting a combination of IgM and IgM against SARS-CoV-2), two different types of CLIA (Diasorin, Roche), RT-PCR tests and serum neutralization tests (SNTs) were performed. The tests were conducted twice, with an interval of 42.4 ± 7.7 (Min = 30, Max = 64) days. Positive participants were re-tested with CLIA/SNT at a third time point after 188.0 ± 12.8 days.

Results

Only 27 out of 3301 participants (0.82%) had a positive antibody test at any time point during the study confirmed via neutralization test. Among positively tested participants in either test, 50.4% did not report any symptoms consistent with common manifestations of COVID-19 during the study period or within the preceding 6 weeks. In the group who tested positive during or prior to study inclusion the most common symptoms of an acute viral illness were rhinitis (21.9%), and loss of taste and olfactory sense (21.9%).

Based on the neutralization test as the true condition, the rapid antibody test performed better on serum than whole blood as 84.6% instead of 65.4% could be detected correctly. Concerning both CLIA tests overall the Roche test detected 24 (sensitivity = 88.9%) and the Diasorin test 22 positive participants (sensitivity = 81.5%).

In participants with a positive SNT result, a significant drop in neutralizing antibody titre from 31.8 ± 22.9 (Md = 32.0) at T1 to 26.1 ± 17.6 (Md = 21.3) at T2 to 21.4 ± 13.4 (Md = 16.0) at T3 (χ2 = 23.848, df = 2, p < 0.001) was observed (χ2 = 23.848, df = 2, p < 0.001)—with an average time of 42.4 ± 7.7 days between T1 and T2 and 146.9 ± 13.8 days between T2 and T3.

Conclusions

During the study period (May 11th–August 3rd) only 0.82% were tested positive for antibodies in our study cohort. The antibody concentration decreases significantly over time with 14.8% (4 out of 27) losing detectable antibodies.

Peer Review reports

Background

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in December 2019 in Wuhan, China. On March 11th 2020, the World Health Organization (WHO) announced the current “corona virus disease 2019” (COVID-19) outbreak as a pandemic. The first laboratory-confirmed case of COVID-19 in Austria was announced on February 27, 2020. The incidence of infection follows an exponential growth, and the mean basic reproduction number was estimated to range from 2.24 to 3.58 [1]. After a complete lockdown in March/April 2020, the epidemiologic situation in Austria remained stable with daily infection numbers well below 5/100.000 population until mid of August. Recently the numbers of confirmed cases continue to increase daily indicating a second wave of infections [2].

The incubation period, defined as the time from infection to symptom onset, falls within the range of 2–14 days with 95% confidence and has a mean of around 5 days [3]. Backer et al. found similar results and reported an estimated mean incubation period of 6.4 days (95% CI = 5.6–7.7), ranging from 2.1 to 11.1 days (2.5th-97.5th percentile) [4].

It has been reported that some individuals, particularly persons of younger age, infected with SARS-CoV-2 remain asymptomatic while real-time reverse transcription polymerase chain reaction (RT-PCR) tests were positive [5, 6]. Also, comparable levels of viral load in upper respiratory specimens were found in asymptomatic individuals and symptomatic patients [7]. Asymptomatic or pre-symptomatic SARS-CoV-2 virus carriers represent a considerable pool for transmission of infection considering the communicable period is reported to be up to 3 weeks [8,9,10,11]. However, the proportion of asymptomatic cases remains unclear, estimations from studies vary between 18 and 33.3% [12]. There is evidence that this group of persons may transmit the infection for a period of at least 1 week although remaining PCR-positive for several weeks [13]. This is particularly important in health care settings where patients and employees are at risk for exposure and infection [14].

RT-PCR of the viral nucleic acid can also yield to false-negative results [5, 15,16,17]. False negative rates of up to 20% have been reported leading to failure to quarantine infected individuals [18,19,20]. Additional serological testing of virus specific IgG and IgM antibodies is recommended because antibodies represent longer lasting markers of infection with SARS-CoV-2 in contrast to methods of pathogen detection, with the latter being detectable only transiently at the time of pathogen presence at sites where diagnostic material is collected [5, 21].

It is assumed, that most individuals who are infected with SARS-CoV-2 develop antibodies within 3 weeks after onset of Covid-19 symptoms [14, 22, 23]. However, some studies reported a rapid waning of antibody titers indicating that humoral immunity against SARS-CoV-2 may be very short-lived, particularly in patients with asymptomatic infection [21, 24]. As there is still discussion about the diagnostic values of different antigens used in immunoassays, tests for detection of neutralizing antibodies are considered to be the gold standard for all kinds of routine tests.

Sensitivity rates as well as specificity rates of recently evolved and currently available rapid antibody tests are not yet reliable enough [16, 25, 26]. Additionally, many of those tests are not entirely specific for the SARS-CoV-2 virus, because of a cross-reactivity to other human SARS viruses like HCoV-OC43, HCoV-HKU1, HCoV-229E and HCoV-NL63 [23]. Therefore, it is recommended to evaluate the antibody status via laboratory based enzyme linked immunosorbent assay (ELISA), chemiluminescent immunoassay (CLIA) and/or serum neutralization test (SNT) [27].

The aims of this study were to determine (i) how many employees in Austrian trauma hospitals and rehabilitation facilities have virus specific immunoglobulin response, and/or neutralizing antibodies against SARS-CoV-2, indicating that they have recovered from infection with or without having shown symptoms at any time, (ii) how many were actively infected during the study period and did not show COVID-19 associated symptoms while included in the study, (iii) the antibody decline in seropositive subjects over a period of around 6 months, and (iv) the utility of rapid antibody tests for outpatient screening.

Methods

This is an open, uncontrolled, three-time prospective cohort study.

Study population

All employees in Austrian trauma hospitals and rehabilitation facilities of the Austrian Social Insurance for Occupational Risks (AUVA) have been invited to participate in the study. In total, 3301 hospital employees were enrolled in eleven participating hospitals and rehabilitation facilities in Austria. The mean (SD) age in the cohort was 43.8 (11.9) years, 2246 (68%) are female, 1049 (31.8%) are male, and 6 (0.2%) refused to disclose their gender. Written informed consent has been obtained from all study participants.

Study procedures

The study procedures are depicted in Fig. 1. A rapid antibody test (lateral flow test) for SARS-CoV-2 specific IgG and/or IgM antibodies, and an RT-PCR test based on oropharyngeal swab samples, as well as the CLIA test and SNT (if indicated) were offered to all employees in Austrian trauma hospitals and rehabilitation facilities. The rapid antibody tests and PCR tests were conducted twice, with 42.4 ± 7.7 (Min = 30, Max = 64) days in between testing. The lab-based CLIA and/or SNT was conducted only if the rapid antibody test showed a positive or questionable result or if a prior positive PCR was known. Participants who had positive antibody tests in CLIA and/or SNT, were invited for a third blood sample collection 186.8 ± 11.5 days after their initial positive result to determine antibody kinetics (Fig. 2).

Fig. 1
figure1

Study procedures; Figure created with draw.io

Fig. 2
figure2

Time intervals of testing; Figure created with Biorender.com

Individuals who agreed to participate in the study were asked to fill out an additional questionnaire to identify special risk factors which consisted of the following items:

  • Demographics (name, contact details, gender, age, height, bodyweight)

  • Code of the hospital or rehabilitation facility

  • If the participant is a smoker including a quantification of smoking habit

  • If the person had been tested for SARS-CoV-2 previously (with either an antibody test or a RT-PCR) including the test result

  • Survey flu like symptoms (at present or within the previous 6 weeks)

    • Fever

    • Cough

    • Dyspnea

    • Nasal congestion

    • Sore throat

    • Headaches

    • Myalgia

    • Impaired sense of smell or taste

    • Diarrhea

  • Questions related to the living situation

    • How many people live in the same household

    • How many adolescents below the age of 15 years live in the same household

    • Inquiry of flu like symptoms within the family members/housemates

  • Questions related to commuting

    • Use of public transportation

    • By car

    • by bike

    • Walking

  • Survey on traveling activities within the previous 6 weeks

    • Eastern Austria

    • Western Austria

    • Italy

    • Within Europe

    • Outside of Europe

  • Attendance on large-scale events with more than 100 people within the last 6 weeks

  • Job description (divided into 25 categories: medical doctors, nurses, administrative staff, cleaning staff, medical-technical staff, laboratory staff, etc.)

  • Working hours within the last 4 weeks and periods of absence

  • Inquiry of comorbidities

    • Hypertension

    • Diabetes mellitus

    • Coronary artery disease

    • Chronic obstructive pulmonary disease (COPD)

    • Chronic kidney disease

  • Inquiry of immunosuppression and allergies

  • Test results of the IgG and/or IgM rapid antibody test (lateral flow test)

  • Test result of the RT-PCR test based on oropharyngeal swab samples

  • Test result of the CLIA (IgG antibodies by Diasorin, mixed antibody reaction by Roche)/SNT

The period of sample collection was from May 11th until August 23rd 2020 [T1: May 11th to June 30th, T2: June 9th to August 23rd] for the PCR and LFA, and until December 4th 2020 for the additional blood sample collection in subjects with positive results prior.

Real-time reverse transcription polymerase chain reaction (RT-PCR) tests

RNA isolation

Total RNA was isolated from 200 µL of virus media using the commercially available Maxwell RSC Viral Total Nucleic Acid Purification Kit (Promega, AS1330) in combination with the Maxwell RSC48 system. Samples were mixed with 200 µL lysis buffer, 20 µL Proteinase K, and 0.5 µL internal positive control (IPC, Ingenetix Viroreal SARS & SARS-CoV-2, DHUV02313x5) followed by vigorous mixing for a minimum of 10 s and 10 min incubation at room temperature. Afterwards samples were applied to Promega Maxwell cartridges and subject to automated processing on the Maxwell RSC 48 system according to the manufacturer’s instructions. Samples were purified with paramagnetic particles that serve as mobile solid phase. Total RNA was eluted in 50 µL nuclease-free water.

SARS-CoV-2 screening assay

The CE-IVD ViroReal SARS-CoV-2 & SARS Kit (Ingenetix, Austria, Cat: DHUV02313x5) was used for detection of SARS-CoV-2 nucleocapsid RNA in the clinical sample material. Probes were designed to detect the nucleocapsid protein gene (N gene) of SARS-CoV-2 as well as SARS-CoV and SARS-related coronavirus. Other beta coronaviruses are not detected with this kit. The primer and probe design chosen by this assay is not identical to the WHO design, as it intends to cover possible future changes in the virus sequence, therefore a highly conserved region in all SARS coronavirus clusters of the N gene was chosen as target region. This allows universal detection of all so far known SARS-CoV strains including SARS-CoV-2 and SARS-like CoV without discriminating between strains.

The test uses a one-step reverse transcription real-time PCR (RT-PCR) reaction. A probe-specific amplification curve at 530 nm (FAM channel) indicates the amplification of virus-specific RNA. An internal RNA positive control (RNA IPC) is detected in Cy5 channel and was used as internal PCR control for both RNA extraction as well as RT-PCR efficiency. The target for the RNA IPC is extracted together with the sample. To set up the reaction 5 µL isolated RNA were mixed with 2 µL nuclease free water (NFW), 2.5 µL reaction mix and 0.5 µL SARS-CoV-2 & SARS Assay Mix + RNA IPC Assay Mix. RT-qPCR was performed under following conditions: RT: 50 °C for 15 min, Activation: 95 °C for 20 s, PCR 45 cycles: 95 °C for 5 s and 60 °C for 30 s. Cycle of quantification (Cq) was calculated with the second derivative maximum method.

SARS-CoV-2 confirmation assay

Positive results from the screening assay SARS-CoV-2 were confirmed on the basis of an independent detection of the SARS-CoV-2 specific E-Gene. This protocol is based on a publication from Corman et al. “Detection of 2019 novel coronavirus (2019nCoV) by real time-RT-PCR” [28] using Superscript III RT-qPCR System (Thermo Fisher, Cat: 12574026). Per reaction, 3.44 µL RNA were mixed with 5 µL reaction mix, 0.4 µL RT/Polymerase, 0.4 µL 1 µg/µL BSA, 0.16 µL MgSO4 and 0.2 µL of each E-Gene forward and reverse primer and probe. RT-qPCR is performed under following conditions: RT: 55 °C for 10 min, Activation: 95 °C for 3 min, PCR 45 cycles: 95 °C for 15 s and 58 °C for 30 s. Cq-value was calculated with the second derivative maximum method. Sequences of the used primers and probes are shown below.

Gene & Reagent Sequence Conc.*
E-gene FW primer ACAGGTACGTTAATAGTTAATAGCGT 400 nM
E-gene Rev PRIMER ATATTGCAGCAGTACGCACACA 400 nM
E-gene probe /5Cy5/ACACTAGCCATCCTTACTGCGCTTCG/3BHQ_2/ 200 nM
  1. *Concentration in nM/L based on the final reaction mix, e.g. 1.5 µL of a 10 µM primer working solution per 25 µL total reaction yields a final concentration of 600 nM as indicated in the table.

Rapid antibody test: SARS-CoV-2 antibody lateral flow assay (LFA)

IgG–IgM combined LFAs were performed according to the instructions-for-use (TAmiRNA GmbH, Austria). In brief, all test components were brought to room temperature. Sera or plasma aliquots were completely thawed before testing, or whole blood was freshly collected using safety lancets. The test cassette was removed from the sealed pouch and the required amount of sample (20 µL serum/plasma or 20 µL whole blood) was pipetted into the specimen well using clean disposable pipets. Immediately after the sample was applied to the sample inlet, three drops of sample buffer were applied to the buffer well. Results were read within the specified time window of 15 min. A positive result in this specific LFA is indicative of the mere presence of IgM and/or IgG antibodies against SARS-CoV-2 virus in human blood. The rapid test kit does not allow a distinction between IgG and IgM antibodies, nor provides a quantification of those.

Laboratory-based CLIA (Roche and Diasorin)

SARS-CoV-2 specific antibodies were measured from serum samples with two assays: (i) a eCLIA assay (Roche Elecsys Anti-SARS-CoV-2) on a cobas e601 analyzer. This immunoassay against the nucleoprotein (N-Ag) allows the in vitro qualitative detection of antibodies (IgM and IgG) to SARS-CoV-2 in human serum and plasma. Samples with a cutoff index COI < 1.0 are classified as non-reactive. (ii) A quantitative CLIA assay targeting IgG antibodies against the S1/S2 protein (Diasorin LIAISON SARS-CoV-2 S1/S2 IgG) on a LIAISON XL analyzer. Results are expressed in arbitrary units (AU/mL). Samples with < 12.0 AU/mL are classified as negative; 12.0 ≤ × < 15.0 as borderline and ≥ 15.0 as positive.

According to the manufacturer, for the Roche Elecsys Anti-SARS-CoV-2 assay sensitivity rates range between 65.5 and 100% depending on the time between diagnosis and sample collection (65.5% 0–6 days, 88.1% 7–13 days, and 100% more than 14 days after diagnosis, respectively).

Sensitivity rates for the Diasorin LIAISON SARS-CoV-2 S1/S2 IgG range between 25 and 97.4% and are also dependent on the time since diagnosis via RT-PCR according to the manufacturer (25% less than 5 days, 90.4% 5–15 days, and 97.4% more than 15 days after diagnosis).

Serum neutralization test (SNT)

Cell lines and viruses

Vero 76 clone E6 cells (CCLV-RIE929, Friedrich-Loeffler-Institute, Riems, Germany) were cultured in minimum essential medium Eagle (E-MEM) with Hank's balanced salt solution (HBSS) (BioWhittaker, Lonza, Szabo Scandic, Austria), supplemented with 10% fetal bovine serum (Corning, Szabo Scandic, Austria) (FBS) and were used to titrate virus preparations and for the neutralization assays. Vero E6 TMPRSS-2 (provided by Stefan Pöhlmann; Deutsches Primatenzentrum, Göttingen, Germany)—initially described in Hoffmann et al.—were cultured in Dulbecco’s modified Eagle’s medium (DMEM) with 10% fetal bovine serum (FBS) and used for virus passaging and isolating infectious virus from clinical samples [29]. The virus used for the neutralization assay was originally isolated from a clinical specimen (NP swab), taken in mid-March 2020, and further passaged twice on Vero E6 TMPRSS-2 cells.

Serum neutralization test (SNT)

A serum neutralization test in 96-well microplates was performed to determine the serum neutralizing antibody titers of study participants essentially as described in Laferl et al. [30] with the following alterations: Human sera were heat-treated for 30 min at 56 °C and diluted 1–4 in triplicates in serum-free DMEM medium as starting point for the assay. The virus isolate used for the SNT was sequenced by NGS and the sequence uploaded to the GISAID database with the following accession ID EPI_ISL_583577.

SNT was used as a reference in this study because neutralization assays are proposed to have the highest validity for CoV serology [23].

Statistical analysis

Statistical analysis was performed using SPSS statistical software (version 26, SPSS Inc., Chicago, Illinois, USA). Figures were compiled with Biorender.com, draw.io, and Microsoft Excel (Microsoft Corp., Redmond, WA, USA). Results of the PCR and rapid antibody test were included in the eCRF at both time points together with all questionnaire data. If a CLIA and/or SNT was indicated, results of these tests have also been included in the eCRF.

The sensitivity of the rapid antibody and CLIA test was calculated with respect to the neutralization test for all three time points separately. To provide an overall estimation as well, every positive person was counted as one case over time, which was feasible due to the consistent test results. As blood was only sampled in case of a positive prior PCR or a positive or questionable rapid antigen test, sensitivity estimations are biased in favor of these tests and specificity cannot be determined.

Data are analyzed exploratively; for comparison of groups concerning sociodemographic and medical variables chi-square-tests and t-tests depending on the scale are applied. Reduction in antibody concentration between time points is tested via Friedman test and Spearman correlation is used to evaluate dependencies between reduction in antibody concentration, age of the participants, and days between T1/T2 and T2/T3, respectively.

Results

Details on demography and occupation of the study participants are summarized in Table 1.

Table 1 Sociodemographic variables—all groups

At first time point (T1), a total of n1 = 3301 hospital employees could be enrolled whereby sociodemographic variables (see Table 1) were comparable to the total AUVA population. At the second test time point (T2), which was on average 40.1 ± 9.8 days later, a reduced number of n2 = 2941 could be re-tested by means of a PCR test.

Within the study cohort, 334 persons (10.1%) had comorbidities that are considered to be associated with a more severe course of disease in Covid-19 (see Table 2). Among the participants with comorbidities, 257 (7.8%) had hypertension, 41 (1.2%) had diabetes mellitus, 19 (0.6%) had coronary artery disease, 43 (1.3) had COPD, and 14 (0.4%) had chronic kidney disease. These 334 individuals, together with an additional 31 (0.9%) immunocompromised persons are considered a risk group in the event of infection with SARS-CoV-2. Furthermore 1116 (33.8%) participants reported to have allergies (Table 2).

Table 2 Health variables—all groups

A total of 769 (23.3%) employees are smokers, whereby 513 (15.5%) smoke between six and 15 cigarettes per day, 212 (6.4%) smoke more than 15 cigarettes per day, and 44 (1.3%) stated to use other products containing nicotine. Chi-squared analysis revealed that in individuals who smoke, the incidence of flu-like symptoms within 6 weeks before study enrollment was significantly higher (11%) compared to non-smokers (9%, p < 0.001, Cramer V = 0.71).

Participants with positive test results (PCR and/or antibody tests)

A total of nP = 32 participants were tested SARS-CoV-2 positive at any time point either prior to the study (i.e. prior positive PCR-Test = Group A) or were tested positively for antibodies during the study (positive or questionable/inconclusive rapid antibody test and/or positive CLIA (Roche and/or Diasorin) = Group B). (Sociodemographic and health characteristics of these groups can be found in Tables 1 and 2, respectively.)

Nineteen (59.4%) out of 32 test-positive participants reported no symptoms of an acute viral illness within 6 weeks prior to study enrollment as well as during the study period.

SNT was performed if any antibody test was positive. Due to limited serum sample availability SNT was performed on 28 sera at T1, on 26 sera at T2 and 25 sera at T3 with 25 out of which neutralizing activity was observed (one test was questionable) at T1, one participant showed neutralizing activity starting T2 and another one starting T3. One participant lost neutralizing antibodies between T1 and T2 and another three participants lost them between T2 and T3 (see also Figs. 3 and 4).

Fig. 3
figure3

Group A—SNT, CLIA (Roche and Diasorin) and rapid antibody test (LFA) with either whole blood (LFA(B)) or blood serum (LFA(S)) at T1, T2 and T3

Fig. 4
figure4

Group B—SNT, CLIA (Roche and Diasorin) and rapid antibody test (LFA) with either whole blood (LFA(B)) or serum (LFA(S)) at T1, T2 and T3

Concerning clinical signs, rhinitis (21.9%) and loss of taste and olfactory sense were the most prominent symptoms (21.9%; Table 3) in the group who tested positive at any time during or prior to study inclusion.

Table 3 Symptoms—all groups

Active virus carriers during the study period

Only one person had a positive PCR test result at T1 on May 12th. This participant was a medical doctor, who already tested positive 60 days before study inclusion and is therefore allocated to group A in our analysis.

Group A: participants with a positive PCR test prior to study inclusion

Fifteen employees had positive PCR test results for acute SARS-CoV-2 infection prior to study inclusion, with an average of 44.5 ± 20.0 days between a prior positive PCR and T1 in the present study. Out of these, eight persons suffered from symptoms in the preceding 6 weeks.

Thirteen of these employees showed a positive neutralization test, for one participant the neutralization test result was below the threshold of a 1:4 dilution, and for another participant no blood sample could be obtained. Based on the blood samples only for seven of these participants the rapid antibody test was positive—including the person with the neutralization value below the threshold—so the sensitivity for the rapid antibody test in group A at T1 was only 46.2% (Fig. 3). Using the rapid antibody test with serum nine positive results (sensitivity = 69.2%) and the one participant with the neutralization value below the threshold could be detected correctly.

A total of 13 participants had a positive CLIA-test from Roche again including the one person with the neutralization test below the threshold, resulting in a sensitivity of 92.3% when compared with the neutralization test. Based on the CLIA- test from Diasorin ten participants were positive, again including the NT negative participant (sensitivity = 69.2%).

At the second timepoint (T2), a neutralization test result could only be obtained for eleven participants (all of them have tested positive at T1). The rapid antibody test based on whole blood was only positive for four of them (sensitivity = 36.4%), while based on blood serum it was positive for seven (sensitivity = 63.6%). Concerning both CLIA tests, the Roche test detected all eleven positive participants (sensitivity = 100%) and the Diasorin test only nine positive participants (sensitivity = 81.8%).

For twelve participants a neutralization test result was obtained at (T3), showing that two persons lost their antibodies between T2 and T3 (marked with T3(−) in Fig. 3); both CLIA tests detected all nine positive participants (sensitivity = 100%), the Roche test resulted in one false positive whereas the Diasorin test detected all three negative participants correctly.

Concerning those participants where a positive neutralization test was obtained, a significant decrease of the value from 26.5 ± 14.7 (Md = 32.0) at T1 to 21.8 ± 16.2 (Md = 16.0) at T2 and to 17.8 ± 9.8 (Md = 16.0) at T3 could be seen (χ2 = 10.4, df = 2, p = 0.006)—with an average time between T1 and T2 of 40.3 ± 6.1 days and between T2 and T3 of 151.6 ± 8.1 days.

Group B: participants with a positive antibody test during the study, either rapid antibody and/or CLIA at T1 and/or T2

Seventeen employees were tested positive for antibodies during the study, either with the rapid antibody test and/or one of the CLIA tests, whereby the latter were only performed in individuals with a prior positive or questionable rapid antibody test. For 14 of these participants a neutralization test for validation could be performed. The majority was asymptomatic as only five participants reported symptoms in the preceding 6 weeks.

At T1, 13 persons of group B had a positive rapid antibody test based on whole blood, which could be confirmed for nine persons via neutralization test (confirmed positive = 75.0%; Fig. 4). [A venous blood sample was only collected in individuals with a positive or questionable rapid antibody test, therefore we were not able to calculate sensitivity rate and had to fall back to confirmed positives.] Using blood serum for the rapid antibody test, which was available only for 13 persons, all of them were positive—compared with the neutralization test but also one negative participant and one participant with a questionable result (confirmed positive = 100.0%).

The CLIA-Roche test was positive for nine persons (sensitivity = 81.8%) and the CLIA-Diasorin test was positive for ten persons (sensitivity = 90.9%) again compared to the neutralization test (Fig. 4). At T2 neutralization tests could be performed for fifteen persons; one additional person who had a negative PCR and negative rapid antibody test at T1 but reported on flu-like symptoms prior to T1 was tested positive at T2 (No 16, marked T2(+) in Fig. 4) and one person seemingly lost his/her antibodies in the 41 days after T1 (No 21, marked T2(−) in Fig. 4). Based on whole blood, 12 persons were tested positive with the rapid antibody test, whereby ten cases (confirmed positive = 83.3%) which also showed neutralization activity. Although, based on blood serum, 14 persons had positive results in the LFA, 11 of which also showed neutralization activity (confirmed positive = 91.7%). The CLIA-Roche showed a sensitivity of 91.7% and the CLIA-Diasorin one of 100.0% for T2 using SNT as reference.

Thirteen participants could be re-tested at T3 with the neutralization test showing a positive result for eleven persons. One additional participant became positive (No 17, marked with T3(+) in Fig. 4) which had so far only been positive in the rapid antibody test at T1 and T2, but reported flu-like symptoms between T2 and T3. Another person lost detectable antibodies (No 23, marked with T3(−) in Fig. 4). The CLIA-Diasorin test correctly identified all positive (sensitivity = 100.0%) and negative participants while the CLIA-Roche test resulted in one false negative result (sensitivity = 90.9%).

Concerning those four participants (no 17, 18, 19, 20) who are marked with an asterisk in Fig. 4, only the rapid antibody test was positive either at T1 and/or T2—so it may be hypothesized that they have always been false positive in the rapid antibody test and participant no 17, who showed antibodies at T3 most probably had corona between T2 and T3.

Also, in group B a significant decrease in the neutralization test value from 37.5 ± 29.0 (Md = 32.0) at T1 to 30.1 ± 18.6 (Md = 26.7) at T2 to 24.4 ± 15.6 (Md = 28) at T3 could be seen (χ2 = 14.389, df = 2, p = 0.001)—with an average time of 43.7 ± 8.5 days, and 143.6 ± 16.2 days between T1/T2, and T2/T3, respectively.

The rapid antibody test shows a low sensitivity of only 46.2% (T1)/36.4% (T2) based on blood and 69.2% (T1)/63.6% (T2) based on serum in a group of participants who had been PCR positive recently. But, in a group where a positive or questionable rapid antibody test result was obtained, the ratio of confirmed positive results was 75.0% (T1)/83.3% (T2) based on blood and 100.0% (T1)/91.7% (T2) based on serum. Summarizing these findings, the CLIA-Roche shows higher sensitivity than CLIA-Diasorin in participants who have been positive a priori, but in validating the rapid antibody test results CLIA-Diasorin outperformed CLIA-Roche.

Decline of antibody concentration

There was a significant decrease in neutralizing antibody titres from 31.8 ± 22.9 (Md = 32.0) at T1 to 26.1 ± 17.6 (Md = 21.3) at T2 to 21.4 ± 13.4 (Md = 16.0) at T3 (χ2 = 23.848, df = 2, p < 0.001)—with an average time of 42.4 ± 7.7 days between T1 and T2 and 146.9 ± 13.8 days between T2 and T3. Only two participants maintained their antibody titers at all three time points. Generally, the decrease in concentration is independent of the time period between T1/T2 and T2/T3, respectively (ρT1/T2 = 0.065, p T1/T2 = 0.775; ρT2/T3 = 0.042, p T1/T2 = 0.861).

General antibody seroprevalence

No difference in terms of antibody seroprevalence was observed between male and female participants, smokers and non-smokers, the geographical area of the participating center, or the presence of comorbidities or allergies (p > 0.05). Only medical doctors were slightly overrepresented (p = 0.097) in the group of positive cases, and individuals who were tested positive showed somewhat more traveling activities, especially outside Europe in February/March (p = 0.010). The number of persons per household was even slightly smaller (2.34 ± 1.5 vs. 2.73 ± 1.32; z = 1.783, p = 0.075) in the group of persons with antibody seroprevalence with no differences according to the number of children below the age of 15 years (p > 0.05). Only seven persons reported of cohabitants with flu-like symptoms at least 6 weeks prior to the study whereby five had symptoms themselves (the neutralization test confirmed antibody seroprevalence for six persons and for one person the results were questionable). Also, asymptomatic persons do not differ from symptomatic ones in the neutralization test values and comorbidities (p > 0.0.05, each). Finally, persons with positive seroprevalence do not differ according to how they reach their work place (public transport, car, bicycle or walk; p > 0.05).

Discussion

In our study cohort, only 32 out of 3301 participants (0.96%) had a positive antibody test at any time point during the study whereby results could be confirmed for 27 via neutralization test. Taking our weak sensitivity estimates into account (Group A: 36.4% [whole blood] to 69.2% [serum]) the real value might be three times larger at worst. This is still remarkably low compared to a large multicenter study in the USA, where 6% had detectable SARS-CoV-2 antibodies [14]. Also, a large study on 61 075 residents of Spain reported a seroprevalence between 4.6 and 5% (by point-of-care test and immunoassay, respectively) where sample collection took place between April 27 and May 11, 2020 [31]. Another study by Korth et al. on 316 healthcare workers who had contact to COVID-19 patients in a tertiary hospital in Essen, Germany found a SARS-CoV-2-IgG antibody seroprevalence of 1.6% between March 25th and April 21th, 2020 [32]. This may be partly explained by the different epidemiological situation in the respective countries. Austria had a low incidence during sample collection of this study with a 14-day notification rate of reported cases per 100 000 population ranging between 0.0 and 88.2 during the study period (May 11th–August 23rd) [33].

The timing of our study was unfortunate in terms of detecting active virus carriers because testing took basically place between the 1st and 2nd “wave” when the incidence rate was by far the lowest in 2020. Additionally, the occupational risk was reduced in the participating trauma hospitals/rehabilitation centers because infected patients have been transferred to specifically implemented corona wards in other hospitals in Austria.

Asymptomatic cases

Among participants who had positive test results in either of the antibody tests, 50.4% did not report any symptoms consistent with common manifestations of COVID-19 (fever, fatigue, dry cough, dyspnea, nasal congestion, headaches, myalgia, or diarrhea [1, 9, 34,35,36]) in the preceding 6 weeks irrespective of their age. It has to be acknowledged, that there might have been symptomatic cases of COVID-19 in our cohort at the very beginning of the pandemic in Austria, which would not have been captured in our query of symptoms. Previous literature reported that around 30% of seropositive participants were asymptomatic [21, 31, 37]. Antibody levels were lower in smokers and in women who had a less severe course of disease of COVID-19, and were generally elevated in older adults [21].

Sensitivity and specificity of antibody tests

Sensitivity and specificity rates of different SARS-CoV-2 antibody tests vary between 53 and 94%, and between 91 and 99.5%, respectively [38] Due to the pandemic, an urgent need for outpatient and rapid field detection of antibodies against SARS-CoV-2 virus emerged. Therefore, a valid antibody test it is of utmost interest for society and previous literature has reported about validity of several rapid antibody tests:

Li et al. used the SARS-CoV-2 rapid IgG–IgM combined antibody test kit to detect IgM and IgG antibodies against SARS-CoV-2 virus in human blood. The study reported a sensitivity of 88.66%, and a specificity of 90.63%, considering a positive test result if IgM, or IgG, or both are positive. In their study, 64.48% (256 out of 397) of positive patients had both IgM and IgG antibodies 8–33 days after infection symptoms appeared, and test results from venous blood and fingertip blood matched with 100% consistency [25]. Another study by Lee et al. used the ALLTEST 2019-nCoV IgG/IgM Rapid Test Cassette and found a sensitivity of 100%, a specificity of 98.0%, and an accuracy rate of 98.6% for the anti-SARS-CoV-2 IgG antibody. IgG appeared at post-exposure 18–21 days or the illness day 11. The relative sensitivity for the IgM antibody was reported to be 85% (95% CI 62.1–96.8%) [26].

In contrast, sensitivity rates of the antibody lateral flow assay in our study showed a wide variation ranging between 36.0 and 69.2% depending on the type of sampling (whole blood or serum) and the time point of sample collection (T1 vs. T2) in the group who had tested positive via PCR prior to study inclusion. The rapid antibody test generally shows higher sensitivity when based on serum than on whole blood.

Summarizing these results, the rapid antibody test based on whole blood can—at best—be used for a pre-screening for suspected cases. Based on serum, the test showed better sensitivity which may be due to higher antibody concentration in serum versus whole blood.

In our study, the CLIA tests showed an overall sensitivity of 88.9% in the Roche test and 81.5% in the Diasorin test using the neutralization test as a reference.

Antibody production and waning

Guo et al. conducted a longitudinal study on 82 confirmed and 58 probable cases using a nucleocapsid-based CLIA and found that the production of IgM, IgA and IgG antibodies against SARS-CoV-2 were positive as early as day 1 after symptom onset. The median duration of IgM and IgA antibody detection were 5 days (IQR 3–6), while IgG was detected 14 days (IQR 10–18) after symptom onset. IgM antibody levels increased between days 8 and 14; but did not increase further between days 15 and 21, or after day 21. The IgG antibodies could be detected on days 0–7, and continued to increase on days 8–14, as well as days 15–21, and plateaued by day 21 [16].

Previous literature reported, that antibodies remained stable for 4 months after diagnosis [21, 37]. In our study, a significant decline in neutralizing antibody concentration was observed between time points of testing within a period of approximately 6 months, but SNT tests remained well above threshold in most patients indicating persistence of neutralizing antibodies. This result supports national vaccination recommendations in post-COVID patients which recommend suspending vaccination in such individuals [39, 40]. This is in contrast to US recommendations (no suspension of vaccination) [41].

Limitations

Antibody seroprevalence may be underestimated if participants had not yet produced a sufficient antibody response at the time of sample collection, or if antibody titers had already declined since the infection. We tried to reduce this bias by conducting the PCR and LFA tests twice with approximately 6 weeks in between testing (between T1 and T2) and an additional serum sample collection for CLIA/SNT after another 3 months (between T2 and T3).

A further limitation that has to be acknowledged is the potential for selection bias since a sample collection of whole blood was only performed in individuals with a positive or questionable LFA. Therefore, sensitivity and specificity cannot be determined for the LFA based on neutralization test results in group B (no positive PCR during or prior to the study).

Conclusion

This study identified the following factors related to SARS-CoV-2 infection among health care workers in Austrian trauma centers and rehabilitation facilities: During the study period (May 11th–December 21th) only 0.82% were tested positive for neutralizing antibodies, indicating that non-pharmaceutical interventions and other epidemiological interventions as recommended in Austria at the time of the study were widely effective in keeping infection rates low.

The antibody concentration in individuals who tested positive for a SARS-CoV-2 infection decreases significantly over a period of 6 months with 14.8% (4 out of 27) losing detectable antibodies.

Also, the results of rapid antibody tests are questionable due to a wide variability in their sensitivity rates.

Availability of data and materials

Data can be made available upon reasonable request to the corresponding author with permission of the Austrian Social Insurance for Occupational Risks (AUVA).

Abbreviations

AUVA:

Austrian Social Insurance for Occupational Risks

CLIA:

Chemiluminescent immunoassay

COVID-19:

Corona virus disease 2019

COPD:

Chronic obstructive pulmonary disease

Cq:

Cycle of quantification

DMEM:

Dulbecco’s modified Eagle’s medium

eCRF:

Electronic case report form

ELISA:

Enzyme linked immunosorbent assay

FBS:

Fetal bovine serum

HCW:

Health care workers

IgA:

Immunoglobulin A

IgG:

Immunoglobulin G

IgM:

Immunoglobulin M

LFA:

Lateral flow assay

NFW:

Nuclease free water

NGS:

Next generation sequencing

RNA:

Ribonucleic acid

RT-PCR:

Real-time reverse transcription polymerase chain reaction

SARS:

Severe acute respiratory syndrome

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

SNT:

Serum neutralization test

T1:

First study related sample collection

T2:

Second study related sample collection

T3:

Third study related sample collection

References

  1. 1.

    Lai C-C, Shih T-P, Ko W-C, Tang H-J, Hsueh P-R. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges. Int J Antimicrob Agents. 2020;55(3): 105924. https://doi.org/10.1016/j.ijantimicag.2020.105924.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Amtliches Dashboard COVID19: öffentlich zugängliche Informationen. Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz; 2020. https://info.gesundheitsministerium.at/dashboard.html?l=de.

  3. 3.

    Linton NM, Kobayashi T, Yang Y, et al. Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J Clin Med. 2020;9(2):538. https://doi.org/10.3390/jcm9020538.

    Article  PubMed Central  Google Scholar 

  4. 4.

    Backer JA, Klinkenberg D, Wallinga J. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020. Eurosurveillance. 2020. https://doi.org/10.2807/1560-7917.ES.2020.25.5.2000062.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Dong X, Cao Y, Lu X, et al. Eleven faces of coronavirus disease 2019. Allergy. 2020. https://doi.org/10.1111/all.14289.

    Article  PubMed  Google Scholar 

  6. 6.

    Lin C, Ding Y, Xie B, et al. Asymptomatic novel coronavirus pneumonia patient outside Wuhan: the value of CT images in the course of the disease. Clin Imaging. 2020;63:7–9. https://doi.org/10.1016/j.clinimag.2020.02.008.

    Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Zou L, Ruan F, Huang M, et al. SARS-CoV-2 viral load in upper respiratory specimens of infected patients. N Engl J Med. 2020;382(12):1177–9. https://doi.org/10.1056/NEJMc2001737.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Chan JF-W, Yuan S, Kok K-H, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet. 2020;395(10223):514–23. https://doi.org/10.1016/S0140-6736(20)30154-9.

    CAS  Article  Google Scholar 

  9. 9.

    Hu Z, Song C, Xu C, et al. Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. Sci China Life Sci. 2020. https://doi.org/10.1007/s11427-020-1661-4.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Heymann DL, Shindo N, WHO Scientific and Technical Advisory Group for Infectious Hazards. COVID-19: what is next for public health? The Lancet. 2020;395(10224):542–45. https://doi.org/10.1016/S0140-6736(20)30374-3.

  11. 11.

    Bai Y, Yao L, Wei T, et al. Presumed asymptomatic carrier transmission of COVID-19. JAMA. 2020. https://doi.org/10.1001/jama.2020.2565.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Mizumoto K, Kagaya K, Zarebski A, Chowell G. Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill. 2020. https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000180.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    PCR positives: what do they mean? Centre for Evidence-Based Medicine. 2020.

  14. 14.

    Self WH, Tenforde MW, Stubblefield WB, Feldstein LR, Steingrub JS. Seroprevalence of SARS-CoV-2 among frontline health care personnel in a multistate hospital network—13 academic medical centers, April–June 2020. MMWR. 2020;69:1–7.

    Article  Google Scholar 

  15. 15.

    Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology. 2020. https://doi.org/10.1148/radiol.2020200343.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Guo L, Ren L, Yang S, et al. Profiling early humoral response to diagnose novel coronavirus disease (COVID-19). Clin Infect Dis. 2020. https://doi.org/10.1093/cid/ciaa310.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Kucirka LM, Lauer SA, Laeyendecker O, Boon D, Lessler J. Variation in false-negative rate of reverse transcriptase polymerase chain reaction-based SARS-CoV-2 tests by time since exposure. Ann Intern Med. 2020;173(4):262–7. https://doi.org/10.7326/M20-1495.

    Article  PubMed  Google Scholar 

  18. 18.

    Li Y, Yao L, Li J, et al. Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19. J Med Virol. 2020;92(7):903–8. https://doi.org/10.1002/jmv.25786.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Li D, Wang D, Dong J, et al. False-negative results of real-time reverse-transcriptase polymerase chain reaction for severe acute respiratory syndrome coronavirus 2: role of deep-learning-based ct diagnosis and insights from two cases. Korean J Radiol. 2020;21(4):505–8. https://doi.org/10.3348/kjr.2020.0146.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Ferrari D, Sabetta E, Ceriotti D, et al. Routine blood analysis greatly reduces the false-negative rate of RT-PCR testing for COVID-19. Acta Biomed. 2020;91(3):1–8. https://doi.org/10.23750/abm.v91i3.9843.

    CAS  Article  Google Scholar 

  21. 21.

    Alter G, Seder R. The power of antibody-based surveillance. N Engl J Med. 2020. https://doi.org/10.1056/NEJMsa1201918.6.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Xiang F, Wang X, He X, et al. Antibody detection and dynamic characteristics in patients with COVID-19. Clin Infect Dis. 2020. https://doi.org/10.1093/cid/ciaa461.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Okba N, Muller M, Li W, et al. SARS-CoV-2 specific antibody responses in COVID-19 patients. Emerg Infect Dis. 2020. https://doi.org/10.1101/2020.03.18.20038059.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Huang AT, Garcia-Carreras B, Hitchings MDT, et al. A systematic review of antibody mediated immunity to coronaviruses: kinetics, correlates of protection, and association with severity. Nat Commun. 2020;11(1):1–16. https://doi.org/10.1038/s41467-020-18450-4.

    CAS  Article  Google Scholar 

  25. 25.

    Li Z, Yi Y, Luo X, et al. Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis. J Med Virol. 2020. https://doi.org/10.1002/jmv.25727.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Lee N-Y, Li C-W, Tsai H-P, et al. A case of COVID-19 and pneumonia returning from Macau in Taiwan: clinical course and anti-SARS-CoV-2 IgG dynamic. J Microbiol Immunol Infect. 2020. https://doi.org/10.1016/j.jmii.2020.03.003.

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    To KK-WW, Tsang OT-YY, Leung W-SS, et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect Dis. 2020;20(5):565–74. https://doi.org/10.1016/S1473-3099(20)30196-1.

  28. 28.

    Corman VM, Landt O, Kaiser M, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance. 2020. https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Hoffmann M, Kleine-Weber H, Schroeder S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020;181(2):271-280.e8. https://doi.org/10.1016/j.cell.2020.02.052.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Laferl H, Kelani H, Seitz T, et al. An approach to lifting self-isolation for health care workers with prolonged shedding of SARS-CoV-2 RNA. Infection. 2021;49(1):95–101. https://doi.org/10.1007/s15010-020-01530-4.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Pollán M, Pérez-Gómez B, Pastor-Barriuso R, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. The Lancet. 2020;396(10250):535–44. https://doi.org/10.1016/S0140-6736(20)31483-5.

    Article  Google Scholar 

  32. 32.

    Korth J, Wilde B, Dolff S, et al. SARS-CoV-2-specific antibody detection in healthcare workers in Germany with direct contact to COVID-19 patients. J Clin Virol. 2020. https://doi.org/10.1016/j.jcv.2020.104437.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    European Centre for Disease Prevention and Control—Data on the weekly subnational 14-day notification rate of new COVID-19 cases; 2020. https://www.ecdc.europa.eu/en/publications-data/weekly-subnational-14-day-notification-rate-covid-19. Accessed 11 Dec 2020.

  34. 34.

    Zu ZY, Di JM, Xu PP, Disease C, et al. Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology. 2020. https://doi.org/10.1148/radiol.2020200490.

    Article  PubMed  Google Scholar 

  35. 35.

    Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061. https://doi.org/10.1001/jama.2020.1585.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Xu Z, Shi L, Wang Y, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir Med. 2020. https://doi.org/10.1016/S2213-2600(20)30076-X.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Gudbjartsson DF, Norddahl GL, Melsted P, et al. Humoral immune response to SARS-CoV-2 in Iceland. N Engl J Med. 2020. https://doi.org/10.1056/nejmoa2026116.

    Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Horvath K, Semlitsch T, Jeitler K, Krause R, Siebenhofer A. Antibody tests for COVID-19: what the results tell us. Z Evid Fortbild Qual Gesundhwes. 2020. https://doi.org/10.1016/j.zefq.2020.05.005.

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    BMSGPK. COVID-19-Impfungen: Anwendungsempfehlungen Des Nationalen Impfgremiums; 2021. https://www.sozialministerium.at/dam/jcr:c8dcc8fe-4ec3-4eb7-b1fb-86cc75845f93/COVID-19-Impfungen__Anwendungsempfehlung_des_Nationalen_Impfgremiums_Version_1.2_(Stand_25.01.2021).pdf.

  40. 40.

    Robert Koch Institut. Epidemiologisches Bulletin—Beschluss der STIKO zur 1. Aktualisierung der COVID-19-Impfempfehlung. 2021;1–74. https://www.sozialministerium.at/dam/jcr:c8dcc8fe-4ec3-4eb7-b1fb-86cc75845f93/COVID-19-Impfungen__Anwendungsempfehlung_des_Nationalen_Impfgremiums_Version_1.2_(Stand_25.01.2021).pdf.

  41. 41.

    CDC. Frequently asked questions about COVID-19 vaccination; 2021. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html. Accessed 29 Jan 2021.

Download references

Acknowledgements

The authors would like to thank the Austrian Social Insurance for Occupational Risks (AUVA) for funding of the study.

Funding

The project was funded by the Austrian Social Insurance for Occupational Risks (AUVA) and the authors would like to express their sincere appreciation. The sponsor had no role in the design of the study; analysis, and interpretation of the data; writing, review, or approval of the manuscript; and the decision to submit the manuscript for publication.

Author information

Affiliations

Authors

Contributions

WS, HK, EPS, and IL conceived and designed the study. EPS, HK, PD, JG, HR, LA, MS, MH, TH, RM, WS, and IL were responsible for drafting of the manuscript. EPS and IP were responsible for statistical analysis and interpretation of results. ME, BH, and MH were responsible for CLIA and SNT testing and interpretation of antibody status. CW was responsible for quality control and monitoring of the study. EPS, HK, PD, JG, HR, CW, LA, WS, and IL performed critical revision of the manuscript regarding important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Herwig Kollaritsch.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in this study were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the ethics committee of the Austrian social insurance for occupational risks (AUVA) (Vote No. 04/2020). The study was registered on the ClinicalTrials.gov database (unique identifier: NCT04354779). All participants provided written, informed consent.

Consent for publication

Not applicable.

Competing interest

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Leister, I., Ponocny-Seliger, E., Kollaritsch, H. et al. Antibody seroprevalence and rate of asymptomatic infections with SARS-CoV-2 in Austrian hospital personnel. BMC Infect Dis 21, 915 (2021). https://doi.org/10.1186/s12879-021-06586-7

Download citation

Keywords

  • Severe acute respiratory syndrome coronavirus 2
  • SARS-CoV-2
  • COVID-19 diagnostic testing