María del Carmen Boado-PenasJulia Eisenberg2026-03-062026-03-062022978-3-319-69623-968https://doi.org/10.1007/978-3-030-78334-1https://link.springer.com/openurl?genre=book&isbn=978-3-030-78334-1http://bibliovirtual.umar.mx:4000/handle/123456789/1919This 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.en-USBook