Related Experiment Video
Updated: Jul 9, 2026

Development of Multiplex Real-Time RT-qPCR Assays for the Detection of SARS-CoV-2, Influenza A/B, and MERS-CoV
Published on: November 10, 2023
COVID-19 disrupted patterns of cause-specific mortality in Switzerland
Anthony Hauser1, Moritz Wagner2, Anna Fesser2
1Department of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.
Objectives:
To understand disruptions in mortality patterns during the COVID-19 pandemic beyond deaths directly attributed to SARS-CoV-2.
Methods:
We analysed Swiss weekly deaths (2011-2021) by age, sex, region, and nine cause groups. For each age group, a Bayesian multivariate Poisson model was fitted to 2011-2019 data, accounting for seasonality, long-term trends, and cross-cause dependence. Comparing predictions with 2020-2021 observations revealed age- and cause-specific excesses.
Results:
Cardiovascular deaths peaked during the autumn 2020 wave, while no cause showed sustained excess across 2020-2021. In individuals aged ≥80 years, non-COVID respiratory (-25%) and mental/neurological (-12%) deaths declined, largely offset by COVID-19 deaths, leaving a modest +4.5% all-cause excess. Cardiovascular and mental/neurological excesses correlated with COVID-19 and other respiratory excesses, reflecting strong pre-pandemic cross-cause correlations ( ).
Conclusion:
These patterns likely reflect three overlapping mechanisms: reduced circulation of non-COVID-19 respiratory pathogens, unrecognized COVID-19 deaths (especially cardiovascular), and mortality displacement, pointing to possible underestimation of the true respiratory burden.
Related Concept Videos
Infectious Diseases and Their Occurrence
Causality in Epidemiology
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Bias in Epidemiological Studies
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Confounding in Epidemiological Studies