This model is comparing healthy and sick residents in Burnie, Tasmania after the Covid-19 Outbreak in 2020. It will also show how the Burnie economy is effected by the disease, how the Government Health Policies are implemented and how they are enforced.
This model is based on the SIR, Susceptible, Infection, Recovery (or
Removed) These are the three possible states related to the members of
the Burnie population when a contagious decease spreads.
The Government/Government Health Policy, played a big part in the successful decrease in Covid-19 infections. The Government enforced the following. - No travel (interstate or international) - Isolation within the residents homes - Social distancing by 1.5m - Quarantine - Non essential companies to be temporarily closed - Limitations on public gatherings - And limits on time and kilometers aloud to travel from ones home within a local community
This resulted in lower reported infection rates of Covid-19 and higher recovery rates. In my opinion: When the first case was reported the Government could have been even faster to enforce these rules to decrease the fatality rates further for the Burnie, population.
Assumption: Government policies were only triggered when 10 cases were recorded. Also, more cases that had been recorded effected the economic growth during this time.
Interesting Findings: In the simulation it shows as the death rates increases towards the end of the week, the rate of testing goes down. You would think that the government would have enforced a higher testing rate over the duration of this time to decrease the number of infections, exposed which would increase the recovery rates faster and more efficiently.
Figures have been determined by the population of Burnie being 19,380 at the time of assignment.
Complex Systems How Burnie Tasmania dealt with Covid-19 Outbreak BMA708
This page provides a structural analysis of POTUS Candidate Lindsey Graham's
economic policy based on the information at: http://www.lindseygraham.com/issue/restore-fiscal-discipline/ http://www.lindseygraham.com/issue/ease-tax-and-regulatory-burdens/ http://www.lindseygraham.com/issue/achieve-energy-independence/ http://www.lindseygraham.com/issue/reform-entitlements/ The method used is Integrative
Propositional Analysis (IPA)
available:
http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf
Based on a project I am working in [country]. The objective of the Insight is to describe the root causes of the binding constraint of water scarcity on economic growth.
Common Pool Resource Problem
Limits to Growth
Success to Successful
Common Pool Resource is evidenced by uncontrolled (illicit) groundwater abstraction and the declining water tables and water quality.
Groundwater resources are clearly finite (even if the exact limit in uncertain). As the limit is approached water quantity and quality declines rapidly. Groundwater is generally being overexploited beyond safe yields.
There is a pattern of success to successful (those with means are better positioned to adapt to increasing scarcity) but this growth in inequality results in social unrest which in turn inhibits reinvestment by the successful.
Green elements are the focus of project investments: Improved regulatory capacity, infrastructure investments, WUA capacity building, and strengthening cooperatives to support investment in small holders.
This
paper aims at describing a case where system dynamics modeling was used to evaluate
the effects of information and material supply lead-time variation on sales
contributions margins and operating cash conversion cycle of a commodity export
business. An empirical dynamic model,
loaded with econometric theory of price effect on competitive demand, was used
to describe the input data. The model simulation
outputs proved themselves relevant in analyzing the complex interconnections of
multiple variables affecting the
profitability in a commercial routine, supporting the decision process among
sales managers.
FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION BEWARE pushing increased growth blows the system! (governments are trying to push growth on already unstable systems !)
The existing global capitalistic growth paradigm is totally flawed
The chaotic turbulence is the result of the concept and flawed strategy of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks
See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)
The model takes into account clothing production and textile waste on a global scale while incorporating Vancouver's own "Fast Fashion" issue into the model.
Please refer to the notes for each variable and stock for more information and to see which links were hidden from the model.
From Jay Forrester 1988 killian lectures youtube video describing system dynamics at MIT. For more detailed biography See Jay Forrester memorial webpage For MIT HIstory see IM-184930 For Applications se IM-185462
