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It has been confirmed that the number of cases and the death toll of COVID-19 are continuing to rise in many countries around the globe. Governments around the world have been struggling with containing and reducing the socioeconomic impacts of COVID-19; however, their respective responses have not been consistent. Aggressive measures imposed by some governments have resulted in a complete lockdown that has disrupted all facets of life and poses massive health, social, and financial impacts. Other countries, however, are taking a more wait-and-see approach in an attempt to maintain business as usual. Collectively, these challenges reflect a super wicked problem that places immense pressure on economies and societies and requires the strategic management of health systems to avoid overwhelming them—this has been linked to the public mantra of ‘flattening the curve’, which acknowledges that while the pandemic cannot be stopped, its impact can be regulated so that the number of cases at any given time is not beyond the capacity of the health system. Dynamic simulation modelling is a framework that facilitates the understanding/exploring of complex problems, of searching for and finding the best option(s) from all practical solutions where time dynamics are essential. The papers in this book provide research insights into this super wicked problem and case studies exploring the interactions between social, economic, environmental, and health factors through the use of a systems approach.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- COVID-19 --- pandemic --- wicked problem --- systems approach --- leverage points --- Bayesian Networks --- system thinking --- mathematical epidemiology --- SIR-type model --- model parameter estimation --- non-pharmaceutical intervention --- dynamical systems --- COVID-19/SARS-CoV2 --- computational cognitive science --- semantic networks --- text mining --- social media mining --- emotions --- tour and traveling --- digitalization shift --- change readiness --- expanded TOPSIS --- UK --- vaccination --- immunity --- policy --- system dynamics --- modelling --- uncertainty --- branded content --- marketing --- total interpretive structural modelling --- decision-making Trial and Evaluation Laboratory --- causal loop diagram --- systems thinking --- network theory --- complexity economics --- economic crisis --- agent-based model --- information theory --- global value chains --- megaprojects --- housing markets --- economic networks --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

It has been confirmed that the number of cases and the death toll of COVID-19 are continuing to rise in many countries around the globe. Governments around the world have been struggling with containing and reducing the socioeconomic impacts of COVID-19; however, their respective responses have not been consistent. Aggressive measures imposed by some governments have resulted in a complete lockdown that has disrupted all facets of life and poses massive health, social, and financial impacts. Other countries, however, are taking a more wait-and-see approach in an attempt to maintain business as usual. Collectively, these challenges reflect a super wicked problem that places immense pressure on economies and societies and requires the strategic management of health systems to avoid overwhelming them—this has been linked to the public mantra of ‘flattening the curve’, which acknowledges that while the pandemic cannot be stopped, its impact can be regulated so that the number of cases at any given time is not beyond the capacity of the health system. Dynamic simulation modelling is a framework that facilitates the understanding/exploring of complex problems, of searching for and finding the best option(s) from all practical solutions where time dynamics are essential. The papers in this book provide research insights into this super wicked problem and case studies exploring the interactions between social, economic, environmental, and health factors through the use of a systems approach.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- COVID-19 --- pandemic --- wicked problem --- systems approach --- leverage points --- Bayesian Networks --- system thinking --- mathematical epidemiology --- SIR-type model --- model parameter estimation --- non-pharmaceutical intervention --- dynamical systems --- COVID-19/SARS-CoV2 --- computational cognitive science --- semantic networks --- text mining --- social media mining --- emotions --- tour and traveling --- digitalization shift --- change readiness --- expanded TOPSIS --- UK --- vaccination --- immunity --- policy --- system dynamics --- modelling --- uncertainty --- branded content --- marketing --- total interpretive structural modelling --- decision-making Trial and Evaluation Laboratory --- causal loop diagram --- systems thinking --- network theory --- complexity economics --- economic crisis --- agent-based model --- information theory --- global value chains --- megaprojects --- housing markets --- economic networks --- COVID-19 --- pandemic --- wicked problem --- systems approach --- leverage points --- Bayesian Networks --- system thinking --- mathematical epidemiology --- SIR-type model --- model parameter estimation --- non-pharmaceutical intervention --- dynamical systems --- COVID-19/SARS-CoV2 --- computational cognitive science --- semantic networks --- text mining --- social media mining --- emotions --- tour and traveling --- digitalization shift --- change readiness --- expanded TOPSIS --- UK --- vaccination --- immunity --- policy --- system dynamics --- modelling --- uncertainty --- branded content --- marketing --- total interpretive structural modelling --- decision-making Trial and Evaluation Laboratory --- causal loop diagram --- systems thinking --- network theory --- complexity economics --- economic crisis --- agent-based model --- information theory --- global value chains --- megaprojects --- housing markets --- economic networks