» Articles » PMID: 34870284

High SARS-CoV-2 Seroprevalence in Children and Adults in the Austrian Ski Resort of Ischgl

Abstract

Background: In early March 2020, a SARS-CoV-2 outbreak in the ski resort Ischgl in Austria initiated the spread of SARS-CoV-2 throughout Austria and Northern Europe.

Methods: Between April 21 and 27 2020, a cross-sectional epidemiologic study targeting the full population of Ischgl ( = 1867), of which 79% could be included ( = 1473, incl. 214 children), was performed. For each individual, the study involved a SARS-CoV-2 PCR, antibody testing and structured questionnaires. A mathematical model was used to help understand the influence of the determined seroprevalence on virus transmission.

Results: The seroprevalence was 42.4% (95% confidence interval (CI) 39.8-44.7). Individuals under 18 showed a significantly lower seroprevalence of 27.1% (95% CI 21.3-33.6) than adults (45%; 95% CI 42.2-47.7; OR of 0.455, 95% CI 0.356-0.682,  < 0.001). Of the seropositive individuals, 83.7% had not been diagnosed to have had SARS-CoV-2 infection previously. The clinical course was generally mild. Over the previous two months, two COVID-19-related deaths had been recorded, corresponding to an infection fatality rate of 0.25% (95% CI 0.03-0.91). Only 8 (0.5 %) individuals were newly diagnosed to be infected with SARS-CoV-2 during this study.

Conclusions: Ischgl was hit early and hard by SARS-CoV-2 leading to a high local seroprevalence of 42.4%, which was lower in individuals below the age of 18 than in adults. Mathematical modeling suggests that a drastic decline of newly infected individuals in Ischgl by the end of April occurred due to the dual impact from the non-pharmacological interventions and a high immunization of the Ischgl population.

Citing Articles

Overcoming times of crisis: unveiling coping strategies and mental health in a transnational general population sample during and after the COVID-19 pandemic.

Schurr T, Frajo-Apor B, Pardeller S, Plattner B, Tutzer F, Schmit A BMC Psychol. 2024; 12(1):493.

PMID: 39300578 PMC: 11412033. DOI: 10.1186/s40359-024-02001-3.


SARS-CoV-2 in Mozambican primary school-aged children at Maputo City and Province: a cross-sectional study from a low-income country.

Bauhofer A, Ussivane E, Chissaque A, Iahaia F, Pololo R, Campos F BMC Pediatr. 2024; 24(1):425.

PMID: 38956534 PMC: 11221092. DOI: 10.1186/s12887-024-04904-x.


Machine Learning to Identify Critical Biomarker Profiles in New SARS-CoV-2 Variants.

Schatz C, Knabl L, Lee H, Seeboeck R, von Laer D, Lafon E Microorganisms. 2024; 12(4).

PMID: 38674742 PMC: 11052335. DOI: 10.3390/microorganisms12040798.


Stimulation of PSTPIP1 to trigger proinflammatory responses in asymptomatic SARS-CoV-2 infections.

Ji R, Wu Y, Ye Y, Li Y, Li Y, Zhong G Heliyon. 2024; 10(5):e26886.

PMID: 38463809 PMC: 10920375. DOI: 10.1016/j.heliyon.2024.e26886.


Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany.

Brockhaus E, Wolffram D, Stadler T, Osthege M, Mitra T, Littek J PLoS Comput Biol. 2023; 19(11):e1011653.

PMID: 38011276 PMC: 10703420. DOI: 10.1371/journal.pcbi.1011653.


References
1.
Britton T, Ball F, Trapman P . A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science. 2020; 369(6505):846-849. PMC: 7331793. DOI: 10.1126/science.abc6810. View

2.
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y . Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. N Engl J Med. 2020; 382(13):1199-1207. PMC: 7121484. DOI: 10.1056/NEJMoa2001316. View

3.
Gudbjartsson D, Stefansson K . Early Spread of SARS-CoV-2 in the Icelandic Population. Reply. N Engl J Med. 2020; 383(22):2184-2185. DOI: 10.1056/NEJMc2027653. View

4.
Thompson C, Grayson N, Paton R, Bolton J, Lourenco J, Penman B . Detection of neutralising antibodies to SARS-CoV-2 to determine population exposure in Scottish blood donors between March and May 2020. Euro Surveill. 2020; 25(42). PMC: 7651873. DOI: 10.2807/1560-7917.ES.2020.25.42.2000685. View

5.
Zhang J, Litvinova M, Liang Y, Wang Y, Wang W, Zhao S . Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science. 2020; 368(6498):1481-1486. PMC: 7199529. DOI: 10.1126/science.abb8001. View