چکیده مقاله
The COVID 19 pandemic has presented a significant challenge to public health systems worldwide,leading to a need for effective strategies to prevent and control its spread Typical decision makingtools have limitations, because each of them requires some historical data for analysis However, sincethe COVID 19 pandemic has no close precedents, there is a lack of sufficient data To overcome thislimitation, this paper utilizes the Analytic Hierarchy Process AHP by combining system dynamics SD as a decision making tool to evaluate different COVID 19 prevention strategies based on differentcriteria We model the spread of the virus using system dynamics SD to calculate pairwisecomparison coefficients for the AHP analysis Our findings indicate that social restriction is the mosteffective strategy for controlling the spread of COVID 19 and future pandemics based on three criteria mortality, cost of implementing the strategy, and psychological impact
کلیدواژهها
نویسندگان
Mohammadtaghi Dehghannezhad
Department of Industrial Engineering, Sharif University of Technology;
Alireza Mohammadi
Department of Industrial Engineering, Sharif University of Technology;
Mohammad Nazari
Department of Industrial Engineering, Sharif University of Technology;
شیوه ارجاع
Dehghannezhad, Mohammadtaghi and Mohammadi, Alireza and Nazari, Mohammad,1402,An Integrated AHP and System Dynamics Approach for the Evaluation ofCOVID-19 Prevention Strategies,The 9th International Conference on Industrial and Systems Engineering,Mashhad
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مجموعه مقالات نهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها21 شهریور 1402 · مشهد