1. Bridging the gap - estimation of 2022/2023 SARS-CoV-2 healthcare burden in Germany based on multidimensional data from a rapid epidemic panel
- Author
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Manuela Harries, Veronika K. Jaeger, Isti Rodiah, Max J. Hassenstein, Julia Ortmann, Maren Dreier, Isabell von Holt, Melanie Brinkmann, Alex Dulovic, Daniela Gornyk, Olga Hovardovska, Christina Kuczewski, Marc-André Kurosinski, Maike Schlotz, Nicole Schneiderhan-Marra, Monika Strengert, Gérard Krause, Martina Sester, Florian Klein, Astrid Petersmann, André Karch, and Berit Lange
- Subjects
SARS-CoV-2 ,SEIR ,ODE Model ,IGRA ,Humoral immunity ,Scenarios ,Infectious and parasitic diseases ,RC109-216 - Abstract
Objectives: Throughout the SARS-CoV-2 pandemic, Germany like other countries lacked adaptive population-based panels to monitor the spread of epidemic diseases. Methods: To fill a gap in population-based estimates needed for winter 2022/23 we resampled in the German SARS-CoV-2 cohort study MuSPAD in mid-2022, including characterization of systemic cellular and humoral immune responses by interferon-γ-release assay (IGRA) and CLIA/IVN assay. We were able to confirm categorization of our study population into four groups with differing protection levels against severe COVID-19 courses based on literature synthesis. Using these estimates, we assessed potential healthcare burden for winter 2022/23 in different scenarios with varying assumptions on transmissibility, pathogenicity, new variants, and vaccine booster campaigns in ordinary differential equation models. Results: We included 9921 participants from eight German regions. While 85% of individuals were located in one of the two highest protection categories, hospitalization estimates from scenario modeling were highly dependent on viral variant characteristics ranging from 30-300% compared to the 02/2021 peak. Our results were openly communicated and published to an epidemic panel network and a newly established modeling network. Conclusions: We demonstrate feasibility of a rapid epidemic panel to provide complex immune protection levels for inclusion in dynamic disease burden modeling scenarios.
- Published
- 2024
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