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Article

High Prevalence of Undocumented SARS-CoV-2 Infections in the Pediatric Population of the Tyrolean District of Schwaz

by
Teresa Harthaller
1,†,
Wegene Borena
1,†,
David Bante
1,
Helena Schäfer
1,
Oliver Strallhofer
2,
Thomas Zöggeler
3,
Eva Hochmuth
1,
Luiza Hoch
1,
Annika Rössler
1,
Dorothee von Laer
1,
Janine Kimpel
1 and
Barbara Falkensammer
1,*
1
Institute of Virology, Medical University of Innsbruck, 6020 Innsbruck, Austria
2
Dr. Strallhofer’s Office, 6200 Jenbach, Austria
3
Department of Pediatrics I, Medical University of Innsbruck, 6020 Innsbruck, Austria
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Viruses 2022, 14(10), 2294; https://doi.org/10.3390/v14102294
Submission received: 29 September 2022 / Revised: 13 October 2022 / Accepted: 14 October 2022 / Published: 19 October 2022
(This article belongs to the Special Issue State-of-the-Art Virology Research in Austria)
Browse Figure
Versions Notes

Abstract

:
Complementing the adult seroprevalence data collected at the time of the rapid SARS-CoV-2 mass vaccination in the district of Schwaz in 2021, we set out to establish the seroprevalence of SARS-CoV-2 among the pediatric population of the district. A total of 369 children, mean age 9.9 (SD 3.4), participated in the study, answering a structured questionnaire on the history of SARS-CoV-2 infection, household contacts, symptoms and history of vaccination. We determined binding and neutralizing antibody levels using plasma samples provided. We estimated the overall prevalence of SARS-CoV-2 infection in the general pediatric population at the time of the study using the census data from Statistik Austria and daily reports of officially confirmed cases. Excluding study participants who reported a history of PCR-confirmed infection, the age-standardized seroprevalence of previously unknown SARS-CoV-2 infection among the general pediatric population of the district was 27% (95% CI: 26.1–27.8). Adding this to the officially documented cases, the true overall prevalence was 32.8% (95% CI: 31.9–33.6) in contrast to the officially documented 8.0% (95% CI: 7.5–8.5) by June 2021. This translated into a proportion of 75.7% (95% CI: 74.4–77.0) of cases being officially undocumented, suggesting a high extent of silent SARS-CoV-2 infections in the pediatric population and possibly silent transmission.

1. Introduction

The rapid spread of the coronavirus-disease-2019 (COVID-19)-causing, severe-acute-respiratory-syndrome-coronavirus-2 (SARS-CoV-2) around the globe has burdened health care systems worldwide with 613 million infected and 6.5 million fatalities attributed to the novel threat [1] since its first emergence in Wuhan, China, in December 2019.
Although the vast majority of infected individuals experience mild symptoms, clinical course can range from asymptomatic to fatal. Older age has been recognized as an important risk factor for more severe disease courses [2,3,4,5,6,7,8] and children have been found to be less affected by COVID-19 accordingly [9,10,11,12,13,14,15,16]. While different possible mechanisms have been suggested [17,18,19,20,21,22], the issue remains yet to be fully understood. Since mild or asymptomatic disease courses may remain unrecognized leading to underreporting, pediatric infections may be regarded as a potential hidden driver of the pandemic.
Months after its declaration as a pandemic by the World Health Organization (WHO) in March 2020, the original wildtype virus had evolved different variants of concern (VOC) [23] that appeared to have selective advantages over the wildtype strain. At the beginning of 2021, the variants B.1.1.7 (alpha) and B.1.351 (beta) had spread to Austria [24]. These new VOCs are characterized by increased transmissibility and the ability to evade host immune response, with especially the beta variant raising concerns about its immune evasion potential [25,26,27,28]. At the time, the Austrian district of Schwaz became the scene of the highest European surge of the beta variant [29]. In order to mitigate the spread of the variant, the district was chosen as a model region by the European Union, which provided 50,000 local adults with the opportunity for two doses of the Comirnaty vaccine by Biontech/Pfitzer in March/April of 2021.
Willeit et al. [30] established the SARS-CoV-2 prevalence in the district of Schwaz at the time of the implementation of this unique mass vaccination campaign, focusing on the adult population only. With the current study, we set out to establish the seroprevalence of SARS-CoV-2 antibodies among the pediatric population of the district to complete the picture. These additional insights provide a crucial piece of the overall infection status of the local population; contributing a context for the discussion of social measures, especially in regard to the pediatric population.

2. Materials and Methods

2.1. Study Population

A total of 369 children from the age of 2 up to their 16th birthday were enrolled in this study (ethical clearance was limited to this age group). Participants were invited to take part in the study at the event center of Jenbach on 26–27 June 2021 through public announcements in local newspapers and schools in the district of Schwaz. Additionally, patients of a local pediatrician’s office also had the opportunity to take part in the study in his office in Jenbach between 1 May and 30 August 2021. After providing informed consent, participants, together with their legal guardians, were asked to provide sociodemographic data as well as a history of SARS-CoV-2 infection in form of a short questionnaire (see supplementary material File S1). For serological analysis, 9 mL of EDTA blood was collected from each participant.
Study participants were eligible for enrollment if they met the following inclusion criteria: Participants at the time of enrollment had to be at least 2 years old and no older than 15 years. Participants had to be permanent residents of the district of Schwaz and could not have received any vaccine against SARS-CoV-2 at the time of enrollment to be eligible.
Children who did not meet the eligibility criteria or failed to provide questionnaire data and/or blood samples were excluded from the study. All children, who accepted the invitation to participate in the study and met the eligibility criteria were enrolled.
Additionally, a subcohort of 147 unvaccinated, previously infected individuals aged 18 and above were chosen from a set of 2474 adults who participated in a seroepidemiological study in March 2021 in the district of Schwaz [30] for comparison to the pediatric study population. All participants with a positive PCR or antigen test within the last 300 days prior to enrollment in the original study in March and no history of vaccination against SARS-CoV-2 were selected.

2.2. Laboratory Analysis

Serological analyses were performed using the Abbott CE-labeled SARS-CoV-2-IgG-II-Quant-Assay (Abbott, IL, USA) for detecting anti-spike (anti-S) antibodies using chemiluminescent microparticle immunoassay technology. Antibody results were provided in binding antibody units per milliliter (BAU/mL) and values above the cutoff of 7.1 BAU/mL were interpreted as positive as defined by the manufacturer.
Additionally, each plasma was tested for the presence of anti-nucleocapsid (anti-N) antibodies (including immunoglobulin G) with the Elecsys Anti-SARS-CoV-2 Assay performed on Roche Cobas e411 analyzer (Roche Diagnostics, IN, USA).
The detection of anti-N antibodies specifically confirms a history of SARS-CoV-2 infection whereas anti-S antibodies are generated in both convalescent and vaccinated individuals.
In children with detectable anti-S or anti-N antibodies, titers of neutralizing antibodies against the ancestral virus were quantified using a pseudovirus neutralization assay, as described previously [31]. In short, a replication-defective vesicular stomatitis virus encoding GFP and pseudotyped with Wuhan-1 SARS-CoV-2 spike protein was incubated with participants’ plasma and used to infect susceptible cells. Infected cells were counted in an immunospot reader. Using a non-linear regression method [32], 50% neutralization titers (IC50) were calculated. Titers of ≥1:16 were considered positive.

2.3. Data Analysis

As age in our study population (mean: 9.9 years) was slightly skewed towards the upper end compared with the general pediatric population of the district (mean: 8.4 years), we adjusted our results for age in order to come up with representative overall prevalence.
To avoid selection bias towards participants with suspected infections, we combined officially registered SARS-CoV-2 infection data with our findings of unreported infections in our study population. For this purpose, we excluded previously PCR-confirmed cases from prevalence analysis and counted seropositive cases among participants without a history of infection as unreported infection. Projecting these age-standardized findings onto the official census data of the district, we estimated the true cumulative prevalence among the pediatric population at the time of the study.
Descriptive statistics were used for characterizing questionnaire data as well as the humoral immune responses (mean (SD; standard deviation), geometric mean (SD) and median (IQR; interquartile range)). Students’ t-test or ANOVA was applied to characterize statistical significance when analyzing continuous variables. We used Mann–Whitney U-test and Kruskal–Wallis test for non-parametric methods. A p-value of <0.05 defined statistical significance. Statistical analysis was performed using SPSS (Version 25.0. IBM Corp., Armonk, NY, USA) and Graphpad Prism 9.3.0 (Graphpad Software Inc, La Jolla, CA, USA).

2.4. Ethical Clearance

The study was approved by the Ethics Committee of the Medical University of Innsbruck (EC numbers: 1161/2021 (children) and 1093/2021(adults)).

3. Results

3.1. Infection Status

As shown in Table 1, a total of 369 children ages 2–15 (median 10) were included in the analysis, of which 50.4% (n = 186) were male.
In 14.9% (n = 55) a previous PCR test confirmed infection was reported. In 92.7% (n = 51) of these, the diagnosis could be confirmed by both anti-S and anti-N seropositivity. In two cases, only anti-S antibodies could be detected and in two further cases (samples taken at days post-infection: 117 and 237, respectively) no SARS-CoV-2 antibodies were detected at all.
Some 85.1% (n = 314) reported having never been tested positive for SARS-CoV-2 by PCR before, of which 74.8% (n = 235) also tested negative for both anti-S and anti-N antibodies in our study. In 24.8% (n = 78) of children without documented history of infection; however, anti-S antibodies were detected and 67 of these children also tested positive for anti-N antibodies. One participant tested positive for anti-N antibodies only. These seropositive cases without positive PCR (n = 79, 25.2%) constitute the proportion of underreported cases in this study cohort (see also Supplementary Table S1).

3.2. Household Infections

A total of 139 (37.7%) children reported a history of household infections, of which 98 (70.5%) declared no history of PCR-confirmed infection of their own.
Among all children with no history of previous infection (n = 314), the proportion of seropositivity was significantly higher (p < 0.00001) in children with a history of household infection (51%, n = 50/98) as opposed to children without household contact (13.4%, n = 29/216).

3.3. Characterizing PCR-Confirmed Infections

Almost all subjects who reported a previous infection experienced asymptomatic or mild clinical course: 30.9% (n = 17) reported no symptoms, 16.4% (n = 9) reported being bedridden for at least three days and no participants reported requiring hospitalization, although 2 children (3.6%) reported difficulty breathing (Table 2). Most prevalent symptoms included fever (n = 20, 36.4%), cough (n = 17, 30.9%), dysgeusia or loss of smell or taste and sore throat (n = 10, 18.2% each), followed by abdominal pain/diarrhea and difficulty breathing (n= 2, 3.6% each). Adults reported asymptomatic infection in 9.5% (n = 14), being bedridden for at least three days in 44.2% (n = 65) of cases and non-ICU hospitalization in 2% (n = 3), with no participants requiring ICU-treatment.
Most infections in the pediatric study population occurred in the autumn and winter of 2020/2021, during the so-called “second infection wave”, a mean of 204.6 days (SD 53.5) prior to blood sampling. Adults reported an interval between infection and blood sampling of 98.9 days (mean, SD: 42.7) days, placing them in the second infection wave as well, as blood sampling of this cohort took place in March 2021 as opposed to the pediatric group in summer 2021. Thus, both cohorts were presumably exposed to the same SARS-CoV-2 variants, mostly wild-type and B.1.1.7.

3.4. Serological Data

Serological analysis is summarized in Figure 1, showing relatively stable anti-S binding (Figure 1A,B) and neutralizing antibodies (Figure 1E,F) in both children and adults after a maximum of 269 and 170 days, respectively. Anti-N antibodies appeared to decline in the pediatric cohort as opposed to a steady level observed in adults (Figure 1C,D).
Differences between pediatric and adult levels of Anti-S (p = 0.0371) and neutralizing antibodies (p = 0.0002) were statistically significant, whereas differences in Anti-N antibody levels (p = 0.7838) did not reach statistical significance. Additionally, a significant correlation could not be established for either neutralizing antibody or binding antibody levels across the number of days post-infection in either pediatric or adult cohorts.

3.5. Undocumented SARS-CoV-2 Infections and Age-Standardized Seroprevalence for the Pediatric Population of Schwaz

Undocumented infection was defined as cases that tested positive for anti-N and/or anti-S antibodies without previous PCR-confirmed infection. Excluding 55 individuals with PCR-confirmed history of infection from the analysis, we found a crude seroprevalence of undocumented infections among the pediatric study population of 25.2% (95% CI: 20.5–30.4) and an age-standardized prevalence at 27.0% (95% CI: 26.1–27.8) among the general pediatric population (Table 3).
Applied to the part of the general pediatric population of the district never officially reported to have been infected with SARS-CoV-2 (11,167 out of a total of 12,133 children of the ages 2–15 in the district of Schwaz), this age-adjusted seroprevalence of 27% translated into an estimated 3011 undocumented infections (Table 3). Adding 966 children (8% of the pediatric reference population) on official record with PCR-confirmed infections until the end of June 2021, the estimated true number of infections occurring by the time of conducting this study came to 3977 cases, leading to an estimated overall SARS-CoV-2 prevalence of 32.8% (95% CI: 31.9–33.6) with a proportion of undocumented infections of 75.7% (95% CI: 74.4–77.0) at the time.

4. Discussion

4.1. Serostatus

With this study, we present a high proportion of undetected infections among the pediatric population. Our findings regarding serostatus show comparable humoral response among children and adults [33,34] and fit into the dynamic that has been described for SARS-CoV-2 humoral response, resulting in stable levels of IgG antibodies after initial rapid decline [35]. While anti-spike IgG antibodies, containing neutralizing antibodies as a subgroup, have been found to be more robust, anti-nucleocapsid antibody waning has been reported to occur more readily [36,37], which is also reflected in our data.

4.2. Seroprevalence

A previous study in the adult population of Schwaz found seropositivity for SARS-CoV-2 antibodies in 24%, with an estimated proportion of unreported infections of 55.8% [30]. In the pediatric population of the same district, we found age-adjusted seropositivity rates at 32.8%, higher than the adult population. Impeding direct comparison, later testing in the pediatric population is very likely to have contributed to the higher seroprevalence since the latest sampling in our study was conducted five months after the study among the adult population. This meant up to five months of additional ongoing exposure, inevitably resulting in additional infections. Although the bulk of infections occurred at the same time as in the adult population during the second infection wave, the increased exposure time could explain higher seroprevalence numbers in the pediatric cohort. Still, the incidence among adults at the time of the pediatric study was very low, possibly owing in part to the mass-vaccination few months earlier (as well as reduced overall infection dynamics concomitant with the beginning of summer), leaving the possibility of a true discrepancy irrespective of the temporal difference [38,39].
SARS-CoV-2 seroprevalence studies in general show great heterogeneity across time and population in accordance with viral exposure risk and susceptibility of the population, making comparison difficult. When looking at the proportion of pediatric seroprevalence in a given population, previous studies found conflicting evidence regarding children’s share. Several early works have reported pediatric seroprevalence to be the lowest among age groups [40,41,42,43]. Likewise, in another Tyrolean hotspot, Ischgl, Knabl et al. found a significantly lower seroprevalence in the pediatric population of 27.1% as opposed to 45% in the adult population in April 2020 [44]. Meanwhile, especially during the second wave of infection other researchers have found the highest seroprevalence in children [45] and indeed the CDC commercial lab tracker states children and adolescents in the US have the highest seroprevalence among the population [46].

4.3. Silent Infections among the Pediatric Population

Most frequently reported SARS-CoV-2 symptoms (fever and respiratory symptoms, see Table 2 and Table 3) are common in pediatric patients and are not specific to the disease. Thus, they ought not to be regarded as cardinal symptoms of COVID-19 in children, especially since many pediatric SARS-CoV-2 infections remain at subclinical presentation [47,48]. This fact makes identifying infected children challenging and may lead to underreporting of infections, while also increasing the risk of virus transmission.
Asymptomatic disease course has been shown to correlate with lower viral loads [49,50,51], while high viral loads have in turn been linked to increased transmissibility [51,52]. Some studies have shown children’s viral loads to be lower or similar to adults’ levels [50,51,53,54,55], contradicting a possible mechanism for children’s “silent superspreader” potential. And indeed, a lot of real-world data do not suggest a heightened bearing of children’s role in infection transmission [55,56,57,58].
Our own findings of 27% undocumented infections in the pediatric population as compared with 15% occult SARS-CoV-2 infections found by Willeit et al. in the adult population of the district of Schwaz [30], as well as the high proportion of unreported infections of 75.7% among all infections, support the notion that pediatric infections are less likely to be detected during the acute phase. Since children in our study were tested for seroprevalence later than their adult counterparts, the higher seroprevalence among the pediatric population of the district is not necessarily at odds with the perception that children’s infections reflect community infections; the role of children in infection transmission is beyond the scope of this study though.

4.4. Strengths and Limitations

Serological assays used in our study have very high sensitivity and specificity, and by testing positive results for neutralizing antibodies, we added significant value to the data. A further strength of the study is the availability of data on daily reports of confirmed cases that helped us estimate occult infections at the level of the general pediatric population of the district.
However, our study population is limited in size and further studies are needed to confirm these findings. At that time, persons with positive antibody results were free from mandatory SARS-CoV-2 testing for three months when entering official institutions—introducing a motivation (bias) to participate in the study [59]. An age-selection-bias effect can also be observed in this study: Only a few parents approved of their young children’s participation, and at the same time adolescents were motivated to take part in this study as they received their antibody titers free of charge. A further limitation is the missing data among children under the age of 2 (no ethical clearance) making our finding in a way incomplete.
We acknowledge that time intervals and distribution of sampling between pediatric and adult cohorts differed measurably and made a direct comparison of antibody dynamics difficult.
Lastly, SARS-CoV-2-related symptoms were self-reported by the children together with their guardians through a questionnaire, which carried the risk of underreporting of less well-publicized symptoms. Additionally, younger children might have been less able to fully describe their symptoms.

5. Conclusions

Our findings support the view of generally mild or asymptomatic pediatric SARS-CoV-2 infections remaining undetected at relatively higher rates than infections in adults [30]. Additionally, our study provides valuable information about the persistence of different infection-derived SARS-CoV-2 antibodies. Not only anti-S and anti-N, but crucially also neutralizing antibodies could be detected 6 months after infection and beyond. This may signify robust protection; however, the role of rapidly emerging variants, rendering present immune protection ineffective, should be kept in mind.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v14102294/s1: File S1: Questionnaire; Table S1: Pediatric data by serostatus.

Author Contributions

Conceptualization, D.v.L. and B.F.; Data curation, T.H., W.B., E.H., L.H. and B.F.; Formal analysis, T.H., W.B. and B.F.; Funding acquisition, D.v.L.; Investigation, T.H., W.B., D.B., H.S., O.S., T.Z., A.R., J.K. and B.F.; Methodology, T.H., W.B. and B.F.; Project administration, E.H., L.H. and B.F.; Resources, W.B., O.S., A.R., D.v.L., J.K. and B.F.; Supervision, W.B., D.v.L., J.K. and B.F.; Visualization, T.H., W.B. and B.F.; Writing—original draft, T.H., W.B. and B.F.; Writing—review & editing, T.H., W.B., D.B., H.S., O.S., T.Z., E.H., L.H., A.R., D.v.L., J.K. and B.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Medical University of Innsbruck (EC numbers: 1161/2021 (children) and 1093/2021(adults)).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data inquiries can be directed to the corresponding author.

Acknowledgments

We thank Evelyn Peer and Lisa-Maria Raschbichler, Bianca Neurauter and the whole study organization team, Maria Huber and the entire diagnostic team, and Ursula Strallhofer for their great effort and assistance.

Conflicts of Interest

The authors declare no conflict of interest.

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Viruses 14 02294 g001 550
Figure 1. Characterizing the level of anti-SARS-CoV-2 anti-S and anti-N antibody concentration across the number of days post-infection using spearman’s correlation method: (A,B) Anti-S antibodies across time in children (A) and adults (B); (C,D) Anti-N antibodies across time in children (C) and adults (D); (E,F) Neutralizing antibody titers across time in children (E) and adults (F).
Figure 1. Characterizing the level of anti-SARS-CoV-2 anti-S and anti-N antibody concentration across the number of days post-infection using spearman’s correlation method: (A,B) Anti-S antibodies across time in children (A) and adults (B); (C,D) Anti-N antibodies across time in children (C) and adults (D); (E,F) Neutralizing antibody titers across time in children (E) and adults (F).
Viruses 14 02294 g001
Table
Table 1. Baseline characteristics and serostatus of children.
Table 1. Baseline characteristics and serostatus of children.
Pediatric Study Population
Total Number of Participants369
Age, years (range)2–15
Mean (SD)9.9 (3.4)
Median (IQR)10.0 (7–13)
Sex (%)
Male186 (50.4)
Female183 (49.6)
PCR confirmed SARS-CoV-2 infection § (% of total)55 (14.9)
Seropositive any (%)53 (96.4)
Anti-S positive53 (96.4)
Anti-N positive51 (92.7)
Neutralizing antibodies45 (81.8)
History of household infections (% of seropositive)41 (77.4)
Seronegative2 (3.6)
History of household infections (% of seronegative)0 (0.0)
No confirmed infection (% of total)314 (85.1)
Seropositive any (%)79 (25.2)
Anti-S positive78 (24.8)
Anti-N positive68 (21.7)
Neutralizing antibodies67 (21.3)
History of household infection (% of seropositive)50 (63.3)
Seronegative235 (74.8)
History of household infection (% of seronegative)48 (20.4)
§ Self-reported. SD= standard deviation, IQR = interquartile range.
Table
Table 2. Humoral response and disease characteristics in PCR confirmed § cases children vs. adults.
Table 2. Humoral response and disease characteristics in PCR confirmed § cases children vs. adults.
ChildrenAdults
Total Number55147
Age (range)3–1518–75
Mean (SD)10.539.8
Median (IQR)11 (9–13)38 (29–50)
Sex (%)
Female30 (54.5)96 (65.3)
Male25 (45.5)51 (34.7)
Days post infection (range)66–26914–170
Mean (SD)204.6 (53.5)98.9 (42.7)
Median (IQR)234.0 (157.0–237.0)114.0 (62.0–135.0)
Clinical severity (%)
Hospital admission0 (0.0)3 (2.0)
Bedridden for ≥3 days9 (16.4)65 (44.2) **
Asymptomatic infection17 (30.9)14 (9.5)
Symptoms (%)38 (69.1)133 (90.5)
Fever20 (36.4)n.a.
Cough17 (30.9)n.a.
Dysgeusia/Loss of smell or taste10 (18.2n.a.
Sore throat10 (18.2)n.a.
Abdominal pain/Diarrhea2 (3.6)n.a.
Difficulty breathing2 (3.6)n.a.
Other *24 (43.6)n.a.
Anti-S antibody status 1
Mean (SD)96.1 (75.4)166.9 (510.7)
Geometric Mean (SD)59.8 (75.4)51.45 (510.7)
Median (IQR)72.0 (42.5–134.2)43.0 (19.5–121.3)
Anti-N antibody status 2
Mean (SD)72.8 (77.7))71.6 (66.8)
Geometric Mean (SD)29.1 (77.7)38.0 (66.8)
Median (IQR)43.6 (15.9–111.8)48.6 (14.9–116.1)
Neutralizing antibody status 3
Mean (SD)63.1 (56.7)51.5 (96.3)
Geometric Mean (SD)34.3 (56.7)15.5 (96.3)
Median (IQR)49.6 (25.2–89.4)23.9 (13.4–46.2)
§ Self-reported; * fatigue (17); headache (10); joint pain (4); eye pain (2); vomiting, runny nose, concentration difficulty, vertigo(1); ** missing 5; 1 p = 0.0371, 2 p = 0.7838, 3 p = 0.0002 (for difference in mean antibody concentration between adults and children); SD = standard deviation, IQR = interquartile range, n.a. = not available.
Table
Table 3. Characterizing study population and source population without a known history of officially reported SARS-CoV-2 infection.
Table 3. Characterizing study population and source population without a known history of officially reported SARS-CoV-2 infection.
Age GroupStudy
Participants without
Positive PCR (%)		Seropositive Participants without
Positive PCR		Age-Specific Crude
Prevalence (%, 95% CI) *		Children in
Reference
Population without Registered
Infection (%) **		Expected
Number of Unreported Cases in Reference
Population §		% Expected Cases of Total Reference Population
without Registered
Infection §§
2–647 (15.0)1531.9 (22.3–47.0)3510 (31.4)112010.03% (9.5–10.6)
7–11117 (37.3)3429.1 (21.0–38.2)3965 (35.5)1152.210.32% (9.8–10.9)
12–15150 (47.8)3020.0 (13.9–27.3)3692 (33.1)738.46.61% (6.2–7.1)
2–15314 (100)7925.2 (20.5–30.3)11,167 (100)301126.96% (26.1–27.8)
* Proportion of seropositive results across age strata. ** based on daily reports of SARS-CoV-2 infection in Schwaz since the beginning of the pandemic (data obtained from AGES). § calculated as: age   specific   crude   prevalence   X   number   of   people   in   the   reference   population   with   no   report   of   previous   infection 100 . §§ calculated as: ( Expected   number   ( n )   of   unreported   cases   in   the   reference   population 11,167 ) × 100 . CI = confidence interval; all 95% CIs calculated based on Clopper-Pearson exact method.
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Harthaller, T.; Borena, W.; Bante, D.; Schäfer, H.; Strallhofer, O.; Zöggeler, T.; Hochmuth, E.; Hoch, L.; Rössler, A.; von Laer, D.; et al. High Prevalence of Undocumented SARS-CoV-2 Infections in the Pediatric Population of the Tyrolean District of Schwaz. Viruses 2022, 14, 2294. https://doi.org/10.3390/v14102294

AMA Style

Harthaller T, Borena W, Bante D, Schäfer H, Strallhofer O, Zöggeler T, Hochmuth E, Hoch L, Rössler A, von Laer D, et al. High Prevalence of Undocumented SARS-CoV-2 Infections in the Pediatric Population of the Tyrolean District of Schwaz. Viruses. 2022; 14(10):2294. https://doi.org/10.3390/v14102294

Chicago/Turabian Style

Harthaller, Teresa, Wegene Borena, David Bante, Helena Schäfer, Oliver Strallhofer, Thomas Zöggeler, Eva Hochmuth, Luiza Hoch, Annika Rössler, Dorothee von Laer, and et al. 2022. "High Prevalence of Undocumented SARS-CoV-2 Infections in the Pediatric Population of the Tyrolean District of Schwaz" Viruses 14, no. 10: 2294. https://doi.org/10.3390/v14102294

APA Style

Harthaller, T., Borena, W., Bante, D., Schäfer, H., Strallhofer, O., Zöggeler, T., Hochmuth, E., Hoch, L., Rössler, A., von Laer, D., Kimpel, J., & Falkensammer, B. (2022). High Prevalence of Undocumented SARS-CoV-2 Infections in the Pediatric Population of the Tyrolean District of Schwaz. Viruses, 14(10), 2294. https://doi.org/10.3390/v14102294

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