This Model was developed from the SEIR Model (Susceptible, Exposed, Infected, Recovered) and it predicts the COVID-19 outbreak in Burnie, Tasmania. This pandemic outbreak contributes to diverse rates including infection rate, death rates and recovery rate, government policies and its economic impacts.    

Assumptions:

 This model is driven by its determined rates, e.g., incubation rate, morality rate, test rate and immunity loss rate and its recovery rate.

Government policies are involved in fully vaccination rate, social distance, national border closure, travel, and business restriction which effect Burnie’s economy.

There are three economic entities dimensions in Burnie Island, we can tell that the pandemic has negative impact on Brick-and-Mortar enterprises and tourism business to some extent, whereas, e commercial business plays a crucial role to stimulate the regional economic activities during the COVID-19 period.

 

Interesting Insights:

 The figure of susceptible changes significantly during the initial 3 weeks because of low recovery rate and high infection rate. On the other hand, the implementation and interventions of government policies is effective, because the number of patients who tested negative is increased and the majority of them release and go back home after medical follow-up. 

I propose we grow this sim model (or similar) over time to help ourselves better understand the opposing investment and austerity strategies now being advocated for the U.S. government. The hope is to build as simple a model as possible that subsumes the major underlying feedback loops that probably exist in the mental models of proponents of each of these positions. Starting this model was inspired by this Investment vs. Austerity discussion http://www.linkedin.com/groups/Investment-vs-Austerity-How-can-4582801.S.157876413

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

Based on chapter 14 of Modeling Dynamic Economic Systems

This model shows the operation of a simple economy. It demonstrates the effect of changes in the fractional rate of consumption (or the converse, the fractional rate of saving.) It also, unlike Models 2 & 3, shows the influence Savings has on the production rate.

In summary, lower rates of consumption (based on production) result in higher rates of both production and consumption in the long-run.

Smithian growth model from Michael Joffe Fig. 3.7 p57 Ch3 Feedback Economics Book

First pass at model depicting importance of Net Capital Accumulation on economic growth of firm - from firm's perspective

This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes.

A simple model for cc adoption which depends on several condions.

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

Model of Covid-19 Outbreak in Burnie, Tasmania

When reported COVID-19 cases begin to show a rapid increase, the government will initiate control policies to deal with the spread.As the number of people tested increases and measures such as isolation and medical assistance are implemented, the number of people infected will decline rapidly.Therefore, the government's policy is to reduce and eliminate sources of transmission by increasing the number of tests and initiating control measures.At the same time, it also shows the negative impact of economic growth, which according to the model will stop in the next 20 weeks.

WIP  based on Where profits come from paper , Nathan Tankus blog and other historical sources

Estruturas dev  miniempresa  e  balanco de massa de calculadora de consumo paaso1 um de  projeto de sintese   de  fluxogramas  visando sintese  Gestao de viabilidade  tecnologicas via  diversos fluxogramasde blocos  ,procesos 

WIP Summary of Miller 2015 PCD article for the Compelling Case for Prevention Project Scoping Study.

In this model I am trying to depict the multiple factors and interactions that impact student academic achievement.  As educators, our goal is to optimize the progression of academic achievement, or as represented in this stock flow diagram maintain the stock (academic achievement) at the highest level.  Multiple factors enhance achievement and, conversely, multiple factors interact to reduce the stock/rate of achievement.  As individual teachers, we must understand the factors and relationships that increase and decrease achievement.  In particular, teachers in training need to begin to build a mental model of these factors and relationships.  Only then can we optimize our individual learning environments to ensure each child reaches his/her academic achievement potential.

First Basic Macro economic model

De Innovadores a Imitadores

New Product Adoption Dynamics models how an innovation spreads through a population via two main drivers:

• Innovator probability, which determines how many people adopt the product independently and autonomously.

• Imitator conversion rate, which measures how many new adopters join due to social contact and word of mouth (WOM).

This approach helps us understand how the total flow of new adopters evolves over time.

📈 Applied example: In the adoption of renewable energy, early users (innovators) install solar panels out of conviction or future-oriented vision. Later, their visible results and testimonials create an imitation effect among neighbors, accelerating broader adoption. This model helps predict how much diffusion can be achieved through different promotional strategies or public policies.