LEADER 04450nam 2200937z- 450 001 9910580204203321 005 20231214133230.0 035 $a(CKB)5690000000012048 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87495 035 $a(EXLCZ)995690000000012048 100 $a20202207d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLife in the Time of a Pandemic$eSocial, Economic, Health and Environmental Impacts of COVID-19-Systems Approach Study 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (178 p.) 311 $a3-0365-3935-2 311 $a3-0365-3936-0 330 $aIt 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. 517 $aLife in the Time of a Pandemic 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 606 $aEnvironmental science, engineering & technology$2bicssc 610 $aCOVID-19 610 $apandemic 610 $awicked problem 610 $asystems approach 610 $aleverage points 610 $aBayesian Networks 610 $asystem thinking 610 $amathematical epidemiology 610 $aSIR-type model 610 $amodel parameter estimation 610 $anon-pharmaceutical intervention 610 $adynamical systems 610 $aCOVID-19/SARS-CoV2 610 $acomputational cognitive science 610 $asemantic networks 610 $atext mining 610 $asocial media mining 610 $aemotions 610 $atour and traveling 610 $adigitalization shift 610 $achange readiness 610 $aexpanded TOPSIS 610 $aUK 610 $avaccination 610 $aimmunity 610 $apolicy 610 $asystem dynamics 610 $amodelling 610 $auncertainty 610 $abranded content 610 $amarketing 610 $atotal interpretive structural modelling 610 $adecision-making Trial and Evaluation Laboratory 610 $acausal loop diagram 610 $asystems thinking 610 $anetwork theory 610 $acomplexity economics 610 $aeconomic crisis 610 $aagent-based model 610 $ainformation theory 610 $aglobal value chains 610 $amegaprojects 610 $ahousing markets 610 $aeconomic networks 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 615 7$aEnvironmental science, engineering & technology 700 $aSahin$b Oz$4edt$01279696 702 $aRichards$b Russell$4edt 702 $aSahin$b Oz$4oth 702 $aRichards$b Russell$4oth 906 $aBOOK 912 $a9910580204203321 996 $aLife in the Time of a Pandemic$93039442 997 $aUNINA