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Agent based Modeling Simulation for Pandemic COVID-19 Disease

Covid-19(ABM)_VHK

Venkata Habiram Koppaka

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The System Dynamics Model presents the the COVID-19 status in Сhina

Жангир Шаханов Covid-19 in china

Шаханов Жангир

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Clone nyoba2 of SEIR COVID-19 New Kl. 1

Kelompok1

The model is built to demonstrates how Burnie Tasmania can deal with a new COVID-19 outbreaks, taking government policies and economic effects into account.

The susceptible people are the local Burnie residents. If residents were infected, they would either recovered or dead. However, even they do recover, there is a chance that they will get infected again if immunity loss occurs.

From the simulation result we can see that with the implementation of local government policies including travel ban and social distancing, the number of infected people will decrease. The number of recovered people will increase in the first 5 weeks but then experience a decrease.

In addition, with the implementation of local government policy, the economic environment in Burnie will be relatively stable when the number of COVID-19 cases is stable.

How Burnie, Tasmania can deal with a new outbreak of COVID-19

Jie Sun

3

This model bases on the SIR model aims to indicate the relationship between the lockdown policy of the government for combating with COVID-19 and the economic activity in Burnie Tasmania during the pandemic.

This model assumes that more COVID-19 cases will lead to the more serious lockdown policy of the local government, which indirectly affect the economic activities and economic growth. The primary reason is that the lockdown policy force people to stay at home and reduce the chance to work and consume.

The simulation trend of the model is that the economy will keep a steady increase when the serious government policy reduces the COVID-19 spreading speed rate.

COVID-19 outbreak in Burnie model by LUJIN 517217

LU JIN

Pada Tugas 3 mata kuliah Pemodelan Transportasi Laut, ditugaskan untuk membuat pemodelan penyebaran COVID-19 di negara yang dipilih, dan pada simulasi ini merupakan negara Indonesia

Dosen Pengampu : Dr.-Ing Ir Setyo Nugroho

Simulasi Pemodelan Penyebaran COVID-19 di Indonesia

Thamara Shaifa Anwar

21

AGENT-BASED MODEL OF COVID-19

AL JOHN D. CENA

3

Самостоятельная Асадбека

Covid-19 in USA

Asad H

5 months ago

COVID-19

Наурызбай Мерейлі

5

АҚШтағы COVID-19 Жүйелік динамика

MERS Aizhan

9 2 weeks ago

Covid-19 Russia

Инкар Мухамедкаримова

3 5 months ago

A simple Susceptible - Infected - Recovered disease model.

Covid-19 in USA

Марина Якимова

Develop a basic Systemigram / Rich Picture to tell the story of covid 19 mitigation

Systemigram Covid-19

Diana A.

Tugas Kelompok Teknik Pemodelan dan Simulasi

SIR Model Covid-19

Danurrizad Ryan Darmoko

13

PROYECTO COVID-19

Jesús Fernández

The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City

Ph_Covid19SDM_AngelKateCacayan

angel kate cacayan

42

ABOUT THE MODEL

This is a dynamic model that shows the correlation between the health-related policies implemented by the Government in response to COVID-19 outbreak in Burnie, Tasmania, and the policies’ impact on the Economic activity of the area.

ASSUMPTIONS

The increase in the number of COVID-19 cases is directly proportional to the increase in the Government policies in the infected region. The Government policies negatively impact the economy of Burnie, Tasmania.

INTERESTING INSIGHTS

1. When the borders are closed by the government, the economy is severely affected by the decrease of revenue generated by the Civil aviation/Migration rate. As the number of COVID-19 cases increase, the number of people allowed to enter Australian borders will also decrease by the government.

2. The Economic activity sharply increases and stays in uniformity.

3. The death rate drastically decreased as we increased test rate by 90%.

COVID-19 Outbreak in Burnie Tasmania (Rajaa Sajjad, 538837)

Rajaa Sajjad

3

Otu_COVID-19_CV

Antonio Baptista

6

Covid-19 in Italy

Bayan Zhirenbayeva

3

About the Model

This model is a dynamic model which explains the relationship between the police of the government and the economy situation in Burnie Tasmania after the outbreak of Corona Virus.

This model is based on SIR model, which explains the dynamic reflection between the people who were susceptible, infected,deaths and recovered.

Assumptions

This model assumes that when the Covid-19 positive is equal or bigger than 10, the government policy can be triggered. This model assumes that the shopping rate in retail shops and the dining rates in the restaurants can only be influenced by the government policy.

Interesting Insights

The government police can have negative influence on the infection process, as it reduced the possibility of people get infected in the public environments. The government policy has a negative effect on shopping rate in retail shops and the dining rate in the restaurants.

However, the government policy would cause negative influence on economy. As people can not shopping as normal they did, and they can not dinning in the restaurants. The retail selling growth rate and restaurant revenue growth rate would be reduced, and the economic situation would go worse.

Corona virus outbreak in Burnie Tasmania (Xuexiao Zhang 538712)