Abstract
Uncertainty forms a key complexity in any health security decision. Uncertainties arise when the evidence about impacts of health threats is either incomplete or lacking and also from the imprecisions in estimating the future performance of decision alternatives. Here we discuss ways in which we are able to incorporate uncertainty in the evaluation of decision alternatives and in the assessment of health threats. Behavioral studies have observed biases in decision making under uncertainty. Hence, a systematic representation of uncertainties should be executed in order to support experts and decision makers to debias their judgments and make reasoned choices under uncertainty.
Original language | English |
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Title of host publication | International Series in Operations Research and Management Science |
Publisher | Springer |
Pages | 329-384 |
Number of pages | 56 |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Publication series
Name | International Series in Operations Research and Management Science |
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Volume | 328 |
ISSN (Print) | 0884-8289 |
ISSN (Electronic) | 2214-7934 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Applied Mathematics