Government Models

These models and simulations have been tagged “Government”.

Insight diagram
The model illustrates how the Kenyan citizens perceive the NIIMS platform.
Kenyan Government NIIMS platform model
Profile photo Shoeb Hussain
Insight diagram
Modelagem Soft sobre o Conflito de Agência e Governança no Brasil. Atividade proposta em Teoria Geral dos Sistemas, ministrada pelo Prof. Antonio Carlos Zambon.

Integrantes:
- Edson da Costa Vitor Junior, 170086
- Gustavo Batistic Ribeiro, 174028
- Huanna Raquel do Nascimento, 174720
- Karen E. M. Rodrigues, 177493
- Leticia O. C. Tavares, 182047
- Matheus Baroni, 184378
Clone of Conflito de Agência e Governança no Brasil
Profile photo Nilo Guimaraes
Insight diagram
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Clone of Oil Price Influencers (3-Loop)
Profile photo PT
Insight diagram
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Clone of Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)
Profile photo Zilin Huang
Insight diagram
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Clone of Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)
Profile photo Lin Ling
Insight diagram
Modelagem Soft sobre o Conflito de Agência e Governança no Brasil. Atividade proposta em Teoria Geral dos Sistemas, ministrada pelo Prof. Antonio Carlos Zambon.

Integrantes:
- Edson da Costa Vitor Junior, 170086
- Gustavo Batistic Ribeiro, 174028
- Huanna Raquel do Nascimento, 174720
- Karen E. M. Rodrigues, 177493
- Leticia O. C. Tavares, 182047
- Matheus Baroni, 184378
Conflito de Agência e Governança no Brasil
Profile photo Matheus Baroni
Insight diagram
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)
Profile photo Yue Xiang
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Insight diagram
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Clone of Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)
Profile photo Xuexiao Zhang
Insight diagram

Overview:

The COVID-19 Outbreak in Burnie Tasmania shows the process of COVID-19 outbreak, the impacts of government policy on both the COVID-19 outbreak and the GDP growth in Burnie.

Assumptions:

We set some variables at fix rates, including the immunity loss rate, recovery rate, death rate, infection rate and case impact rate, as they usually depend on the individual health conditions and social activities.

It should be noticed that we set the rate of recovery, which is 0.7, is higher than that of immunity loss rate, which is 0.5, so, the number of susceptible could be reduced over time.

Adjustments: (please compare the numbers at week 52)

Step 1: Set all the variables at minimum values and simulate

results: Number of Infected – 135; Recovered – 218; Cases – 597; Death – 18,175; GDP – 10,879.

Step 2: Increase the variables of Health Policy, Quarantine, and Travel Restriction to 0.03, others keep the same as step 1, and simulate

results: Number of Infected – 166 (up); Recovered – 249 (up); Cases – 554 (down); Death – 18,077 (down); GDP – 824 (down).

So, the increase of health policy, quarantine and travel restriction will help increase recovery, decrease confirmed cases, decrease death, but also decrease GDP.

Step 3: Increase the variables of Testing Rate to 0.4, others keep the same as step 2, and simulate

results: Number of Infected – 152 (down); Recovered – 243 (down); Cases – 1022 (up); Death – 17,625 (down); GDP – 824 (same).

So, the increase of testing rate will help to increase the confirmed cases.

Step 4: Change GDP Growth Rate to 0.14, Tourism Growth Rate to 0.02, others keep the same as step 3, and simulate

results: Number of Infected – 152 (same); Recovered – 243 (same); Cases – 1022 (same); Death – 17,625 (same); GDP – 6,632 (up).

So, the increase of GDP growth rate and tourism growth rate will helps to improve the GDP in Burnie.

COVID-19 Outbreak in Burnie Tasmania - Lin Ling 523592
Profile photo Lin Ling
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