2022
DOI: 10.1007/978-3-031-10031-4_16
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Dynamical Modeling of Outbreak and Control of Pandemics: Assessing the Resilience of Healthcare Infrastructure Under Mitigation Policies

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Cited by 2 publications
(2 citation statements)
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“…Similar approaches have been taken by Olaya [72], Kubanza et al [73], Macmillan et al [74], Luna-Yeyes and Anderson [75], Guest et al [76], Saryazdi et al [77], and Shoar and Payan [78]. We select these methods as suitable for this study among the broad range of qualitative systems dynamics modeling methods that can be used to reason about systems and explore hypotheses, including Boolean networks [79], cross-impact balances [80], simulation modeling [81][82][83], agent-based modeling [84,85], and analytical optimization [86]. We use the results from our semi-structured interviews as evidence (Section 4.4) to identify actors and their roles, understand the flows of information, and identify causal feedbacks and sources of path-dependence in our case-study system.…”
Section: Systems Analysismentioning
confidence: 99%
“…Similar approaches have been taken by Olaya [72], Kubanza et al [73], Macmillan et al [74], Luna-Yeyes and Anderson [75], Guest et al [76], Saryazdi et al [77], and Shoar and Payan [78]. We select these methods as suitable for this study among the broad range of qualitative systems dynamics modeling methods that can be used to reason about systems and explore hypotheses, including Boolean networks [79], cross-impact balances [80], simulation modeling [81][82][83], agent-based modeling [84,85], and analytical optimization [86]. We use the results from our semi-structured interviews as evidence (Section 4.4) to identify actors and their roles, understand the flows of information, and identify causal feedbacks and sources of path-dependence in our case-study system.…”
Section: Systems Analysismentioning
confidence: 99%
“…To examine the model behaviour under the uncertainty associated with unit sales prices and interest rates, we performed joint numerical sensitivity analysis with these model parameters. The sensitivity analysis evaluates whether the model outcomes (e.g., the IRR estimated for the project) vary significantly when the model assumptions (e.g., unit sales prices and loan interest rates) are varied over their plausible range of uncertainty (Kashani et al 2022;Sterman 2000;Valaei Sharif et al 2022). The results of the joint numerical sensitivity analysis of the IRR with respect to unit sales price, π, and interest rate, i, are presented in Figure A4, given that other model parameters remain constant during the project timeline.…”
Section: Appendix C Joint Impact Of Shifts In Sales Price and Interes...mentioning
confidence: 99%