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