This open access book collects expert contributions on actuarial modelling and related topics
from machine learning to legal aspects and reflects on possible insurance designs during an
epidemic pandemic. Starting by considering the impulse given by COVID-19 to the insurance
industry and to actuarial research the text covers compartment models mortality changes
during a pandemic risk-sharing in the presence of low probability events group testing
compositional data analysis for detecting data inconsistencies behaviouristic aspects in
fighting a pandemic and insurers' legal problems amongst others. Concluding with an essay by
a practicing actuary on the applicability of the methods proposed this interdisciplinary book
is aimed at actuaries as well as readers with a background in mathematics economics
statistics finance epidemiology or sociology.
