Related Experiment Video
Updated: Oct 7, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Estimating COVID-19-induced excess mortality in Lombardy, Italy
Antonello Maruotti1,2, Giovanna Jona-Lasinio3, Fabio Divino4
1Dipartimento GEPLI, Libera Università Maria Ss Assunta, Rome, Italy. a.maruotti@lumsa.it.
Abstract:
We compare the expected all-cause mortality with the observed one for different age classes during the pandemic in Lombardy, which was the epicenter of the epidemic in Italy. The first case in Italy was found in Lombardy in early 2020, and the first wave was mainly centered in Lombardy. The other three waves, in Autumn 2020, March 2021 and Summer 2021 are also characterized by a high number of cases in absolute terms. A generalized linear mixed model is introduced to model weekly mortality from 2011 to 2019, taking into account seasonal patterns and year-specific trends. Based on the 2019 year-specific conditional best linear unbiased predictions, a significant excess of mortality is estimated in 2020, leading to approximately 35000 more deaths than expected, mainly arising during the first wave. In 2021, instead, the excess mortality is not significantly different from zero, for the 85+ and 15-64 age classes, and significant reductions with respect to the 2020 estimated excess mortality are estimated for other age classes.
Related Concept Videos
Bias in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data
Causality in Epidemiology
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Confounding in Epidemiological Studies
Estimating Population Standard Deviation

