Abstract
Epidemiologists use certain models (SIR or SEIR models, for example) to describe the natural evolution of an epidemic or a pandemic. The parameters of these models are based on various assumptions regarding biological and social key parameters. In contrast to this approach, economists consider human actions as the outcome of optimizing behavior based on private costs, benefits, and beliefs, which are especially important for identifying vaccination strategies. The corresponding literature can be divided into two types depending on whether individuals are assumed to operate freely in a decentralized manner or are subject to the public prescriptions of a central decision-maker acting as a benevolent social planner. This paper explores this literature and provides various examples showing, in particular, that this economic approach can help to explain part of the difference between the number of confirmed COVID-19 infections and the number predicted by epidemiological models.
| Original language | English |
|---|---|
| Title of host publication | Diffusive Spreading in Nature, Technology and Society, Second Edition |
| Publisher | Springer International Publishing |
| Pages | 453-471 |
| Number of pages | 19 |
| ISBN (Electronic) | 9783031059469 |
| ISBN (Print) | 9783031059452 |
| DOIs | |
| Publication status | Published - 1 Jan 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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