TY - JOUR
T1 - Seroprevalence trends of anti-SARS-CoV-2 antibodies and associated risk factors
T2 - a population-based study
AU - the Corona Immunitas Research Group
AU - Tancredi, Stefano
AU - Chiolero, Arnaud
AU - Wagner, Cornelia
AU - Haller, Moa Lina
AU - Chocano-Bedoya, Patricia
AU - Ortega, Natalia
AU - Rodondi, Nicolas
AU - Kaufmann, Laurent
AU - Lorthe, Elsa
AU - Baysson, Hélène
AU - Stringhini, Silvia
AU - Michel, Gisela
AU - Lüdi, Chantal
AU - Harju, Erika
AU - Frank, Irene
AU - Imboden, Medea
AU - Witzig, Melissa
AU - Keidel, Dirk
AU - Probst-Hensch, Nicole
AU - Amati, Rebecca
AU - Albanese, Emiliano
AU - Corna, Laurie
AU - Crivelli, Luca
AU - Vincentini, Julia
AU - Gonseth Nusslé, Semira
AU - Bochud, Murielle
AU - D’Acremont, Valérie
AU - Kohler, Philipp
AU - Kahlert, Christian R.
AU - Cusini, Alexia
AU - Frei, Anja
AU - Puhan, Milo A.
AU - Geigges, Marco
AU - Kaufmann, Marco
AU - Fehr, Jan
AU - Cullati, Stéphane
AU - Amendola, Antonio
AU - Anagnostopoulos, Alexia
AU - Anker, Daniela
AU - Annoni, Anna Maria
AU - Aschmann, Hélène
AU - Azman, Andrew
AU - Bal, Antoine
AU - Ballouz, Tala
AU - Bezani, Kleona
AU - Blattmann, Annette
AU - Bleich, Patrick
AU - Bodenmann, Patrick
AU - Buttaroni, Peter
AU - Butty, Audrey
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/10
Y1 - 2023/10
N2 - Purpose: We aimed to assess the seroprevalence trends of SARS-CoV-2 antibodies in several Swiss cantons between May 2020 and September 2021 and investigate risk factors for seropositivity and their changes over time. Methods: We conducted repeated population-based serological studies in different Swiss regions using a common methodology. We defined three study periods: May–October 2020 (period 1, prior to vaccination), November 2020–mid-May 2021 (period 2, first months of the vaccination campaign), and mid-May–September 2021 (period 3, a large share of the population vaccinated). We measured anti-spike IgG. Participants provided information on sociodemographic and socioeconomic characteristics, health status, and adherence to preventive measures. We estimated seroprevalence with a Bayesian logistic regression model and the association between risk factors and seropositivity with Poisson models. Results: We included 13,291 participants aged 20 and older from 11 Swiss cantons. Seroprevalence was 3.7% (95% CI 2.1–4.9) in period 1, 16.2% (95% CI 14.4–17.5) in period 2, and 72.0% (95% CI 70.3–73.8) in period 3, with regional variations. In period 1, younger age (20–64) was the only factor associated with higher seropositivity. In period 3, being aged ≥ 65 years, with a high income, retired, overweight or obese or with other comorbidities, was associated with higher seropositivity. These associations disappeared after adjusting for vaccination status. Seropositivity was lower in participants with lower adherence to preventive measures, due to a lower vaccination uptake. Conclusions: Seroprevalence sharply increased over time, also thanks to vaccination, with some regional variations. After the vaccination campaign, no differences between subgroups were observed.
AB - Purpose: We aimed to assess the seroprevalence trends of SARS-CoV-2 antibodies in several Swiss cantons between May 2020 and September 2021 and investigate risk factors for seropositivity and their changes over time. Methods: We conducted repeated population-based serological studies in different Swiss regions using a common methodology. We defined three study periods: May–October 2020 (period 1, prior to vaccination), November 2020–mid-May 2021 (period 2, first months of the vaccination campaign), and mid-May–September 2021 (period 3, a large share of the population vaccinated). We measured anti-spike IgG. Participants provided information on sociodemographic and socioeconomic characteristics, health status, and adherence to preventive measures. We estimated seroprevalence with a Bayesian logistic regression model and the association between risk factors and seropositivity with Poisson models. Results: We included 13,291 participants aged 20 and older from 11 Swiss cantons. Seroprevalence was 3.7% (95% CI 2.1–4.9) in period 1, 16.2% (95% CI 14.4–17.5) in period 2, and 72.0% (95% CI 70.3–73.8) in period 3, with regional variations. In period 1, younger age (20–64) was the only factor associated with higher seropositivity. In period 3, being aged ≥ 65 years, with a high income, retired, overweight or obese or with other comorbidities, was associated with higher seropositivity. These associations disappeared after adjusting for vaccination status. Seropositivity was lower in participants with lower adherence to preventive measures, due to a lower vaccination uptake. Conclusions: Seroprevalence sharply increased over time, also thanks to vaccination, with some regional variations. After the vaccination campaign, no differences between subgroups were observed.
KW - COVID-19 pandemic
KW - Epidemiology
KW - Public health
KW - SARS-CoV-2
KW - Seroprevalence
KW - Surveillance
UR - https://www.scopus.com/pages/publications/85149211165
UR - https://www.scopus.com/pages/publications/85149211165#tab=citedBy
U2 - 10.1007/s15010-023-02011-0
DO - 10.1007/s15010-023-02011-0
M3 - Article
C2 - 36870034
AN - SCOPUS:85149211165
SN - 0300-8126
VL - 51
SP - 1453
EP - 1465
JO - Infection
JF - Infection
IS - 5
ER -