Author:
Feng Runhuan,Garrido José,Jin Longhao,Loke Sooie-Hoe,Zhang Linfeng
Abstract
AbstractOur society’s efforts to fight pandemics rely heavily on our ability to understand, model and predict the transmission dynamics of infectious diseases. Compartmental models are among the most commonly used mathematical tools to explain reported infections and deaths. This chapter offers a brief overview of basic compartmental models as well as several actuarial applications, ranging from product design and reserving of epidemic insurance, to the projection of healthcare demand and the allocation of scarce resources. The intent is to bridge classical epidemiological models with actuarial and financial applications that provide healthcare coverage and utilise limited healthcare resources during pandemics.
Publisher
Springer International Publishing
Reference29 articles.
1. L. Allen, A primer on stochastic epidemic models: formulation, numerical simulation, and analysis. Infect. Dis. Model. 2(2), 128–142 (2017)
2. H. Andersson, T. Britton, Stochastic Epidemic Models and Their Statistical Analysis, vol. 151 (Springer Science & Business Media, 2012)
3. S. Bastos, D. Cajueiro, Modeling and forecasting the early evolution of the COVID-19 pandemic in Brazil (2020). arXiv:2003.14288
4. L. Billard, P. Dayananda, A multi-stage compartmental model for HIV-infected individuals: I-waiting time approach. Math. Biosci. 249, 92–101 (2014a)
5. L. Billard, P. Dayananda, A multi-stage compartmental model for HIV-infected individuals: II-application to insurance functions and health-care costs. Math. Biosci. 249, 102–109 (2014b)
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