Corona Immunitas: study protocol of a nationwide program of SARS-CoV-2 seroprevalence and seroepidemiologic studies in Switzerland
2020; Springer Science+Business Media; Volume: 65; Issue: 9 Linguagem: Inglês
10.1007/s00038-020-01494-0
ISSN1661-8564
AutoresErin West, Daniela Anker, Rebecca Amati, Aude Richard, Ania Wisniak, Audrey Butty, Emiliano Albanese, Murielle Bochud, Arnaud Chioléro, Luca Crivelli, Stéphane Cullati, Valérie D’Acremont, Adina Mihaela Epure, Jan Fehr, Antoine Flahault, Luc Fornerod, Irène Frank, Anja Frei, Gisela Michel, Semira Gonseth, Idris Guessous, Medea Imboden, Christian R. Kahlert, Marco Kaufmann, Philipp Köhler, Nicolai Mösli, Daniel H. Paris, Nicole Probst‐Hensch, Nicolas Rodondi, Silvia Stringhini, Thomas Vermes, Fabian Vollrath, Milo A. Puhan,
Tópico(s)COVID-19 Clinical Research Studies
ResumoAbstract Objectives Seroprevalence studies to assess the spread of SARS-CoV-2 infection in the general population and subgroups are key for evaluating mitigation and vaccination policies and for understanding the spread of the disease both on the national level and for comparison with the international community. Methods Corona Immunitas is a research program of coordinated, population-based, seroprevalence studies implemented by Swiss School of Public Health (SSPH+). Over 28,340 participants, randomly selected and age-stratified, with some regional specificities will be included. Additional studies in vulnerable and highly exposed subpopulations are also planned. The studies will assess population immunological status during the pandemic. Results Phase one (first wave of pandemic) estimates from Geneva showed a steady increase in seroprevalence up to 10.8% (95% CI 8.2–13.9, n = 775) by May 9, 2020. Since June, Zurich, Lausanne, Basel City/Land, Ticino, and Fribourg recruited a total of 5973 participants for phase two thus far. Conclusions Corona Immunitas will generate reliable, comparable, and high-quality serological and epidemiological data with extensive coverage of Switzerland and of several subpopulations, informing health policies and decision making in both economic and societal sectors. ISRCTN Registry: https://www.isrctn.com/ISRCTN18181860 .
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