This model was designed from SIR model(susceptible, infected, revovered) to find out the effect of covid-19 outbreak into economic outcomes via government policy.
Assumptions
The government policy is triggered when number of infected is more than ten.
The government policies will take negative effect into Covid-19 outbreaks and financial system
Adjusted parameter: Immunity loss rate can be change from vaccination rate.
Government policy's parameters
Adjusted parameters: Testing rate(from 0.15 to 0.95), vaccination rate(from 0.3 to 1), travel ban(from 0 to 0.9), social distancing(from 0.1 to 0.8), Quarantine(from 0.1 to 0.9)
Economic's parameters
Fixed parameter: Tourism
Adjusted parameter: Economic growth rate(from 0.3 to 0.5)
Interesting insight
Increase vaccination rate and testing rate will decrease the number amount of infected case and a little bit more negative effect to economic system. However economic system still need a long time to recover in both cases.
BMA708_Assignment 3_ndkvo_520272_COVID-19 outbreak and Burnie economy
Bourke is a remote town in NSW with a population of 2634 people. In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays. Over the past five years, the Aboriginal Community has come together to trial a model for change, called Just Reinvest.
This model illustrates the relationship between Community Factors (which includes social disadvantage, economic issues, family trauma) on Disengaged Youth, Crime and the impact of the Just Reinvest Program. This model particularly illustrates the complexity of factors on outcomes and how factors are interrelated making crime a wicked problem that is not easily viewed in isolation from the socio-economic and social causes.
Stocks
Youth in Burke is set based on Australian Bureau of Statistics levels but is easily modified to track population changes on modelling
Disengaged Youth are those with problematic behaviour
Crime Levels are those Disengaged Youth who go on to commit a crime
Early Intervention Programs are those run through Just Reinvest as part of the community program - the quantity of these can be adjusted.
Data of Note
- Economic Impact is five times cost of running the program
- Justice Impacts are roughly 66% and Non-Justice Impacts make up the remaining 33%.
Assumptions While the UN defines "Youth" as 15 - 24 year olds, the KPMG report outlines programs for 10 - 24 year olds therefore in the context of Bourke the 10 - 24 year old age bracket is considered "Youths". This has been rounded to 700 people (ABS 2016 Census).
- It is estmated 70% of Bourke Youths will have problematic behaviour with 50% of those going on to commit a crime and be caught
- Cost of Early Intervention Youth Program is estimated at $100 per person per crime
Conclusion
While this model shows the impacts and benefits of additional funding on early intervention programs and the flow on affects this has on crime, it does not take into account the underlying cultural and social disadvantage issues that are often motivators for crime nor does this model take into account issues such as cultural prejudice and bias, over-policing or additional early intervention methods.
Relationship between Youth Alienation, Police and Community Development in Bourke
This model demonstrates the COVID-19 outbreak in Bernie, Tasmania, and shows the relationship between coVID-19 outbreaks, government policy and the local economy. The spread of pandemics is influenced by many factors, such as infection rates, mortality rates, recovery rates and government policies. Although government policy has brought the Covid-19 outbreak under control, it has had a negative impact on the financial system, and the increase in COVID-19 cases has had a negative impact on economic growth.
Assumptions:
The model is based on different infection rates, including infection rate, mortality rate, detection rate and recovery rate. There is a difference between a real case and a model. Since the model setup will only be initiated when 10 cases are reported, the impact on infection rates and economic growth will be reduced.
Interesting insights:
Even as infection rates fall, mortality rates continue to rise. However, the rise in testing rates and government health policies contribute to the stability of mortality. The model thinks that COVID-19 has a negative impact on offline industry and has a positive impact on online industry.
This high-level
simulation model presented by Jay Forrester in his book World Dynamics, simulates
socio-economic-environmental world system. The world Model was created in a
time where pollution and other negative effects of industrialization and
economic growth started to become recognized in 1970. For this exam purpose, we have
rebuilt the model to do some experiments and analyze the results.
This page provides a structural analysis of POTUS Candidate Jim Gilmore's
economic policy based on the information at: http://www.gilmoreforamerica.com/jims-growth-code/ 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
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION
The existing global capitalistic growth paradigm is totally flawed
The chaotic turbulence is the result of the concept 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)
Simple Launchpad for Grid Group Culture and Plural Rationalities Insights including Plural Sector of Society. Mainly for Health Managers Links to a variety of insights about culture society organization and management, with recent work applied to risk and climate change
The model simulates how logging in with tourism(mountain biking) in Derby Tasmania.
How the model works.
Trees grow, loggers cut them in order to sell them because of demand for Timber.
Mountain cyclist depends on satisfaction and expectation. Satisfaction and Expectation depends on Scenery number of trees compared to visitor and Adventure number of trees and users. Park capacity limits the number of users. Local Business is influenced by the timber and number of Mountain Cyclist. Employment is influenced by the number of mountain cyclist and logging activity.
