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

Жангир Шаханов Covid-19 in china

8 10 months ago

This Model was developed from the SEIR model (Susceptible, Enposed, Infected, Recovered). It was designed to explore relationships between the government policies regarding the COVID-19 and its impact upon the economy as well as well-being of residents.

Assumptions:

Government policies will be triggered when reported COVID-19 case are 10 or less;

Government Policies affect the economy and the COV-19 infection negatively at the same time;

Government Policies can be divided as 4 categories, which are Social Distancing, Business Restrictions, Lock Down, Travel Ban, and Hygiene Level, and they represented strength of different aspects;

Parameters:

Policies like Social Distancing, Business Restrictions, Lock Down, Travel Ban all have different weights and caps, and they add up to 1 in total;

There are 4 cases on March 9th;

Ro= 5.7 Ro is the reproduction number, here it means one person with COVID-19 can potentially transmit the coronavirus to 5 to 6 people;

Interesting Insights:

Economy will grow at the beginning few weeks then becoming stagnant for a very long time;

Exposed people are significant, which requires early policies intervention such as social distancing.

Model of COVID-19 Outbreak in Burnie, Tasmania

Jingting REN

16

This model is to show the status of numbers of infected people, recovered people and deaths during COVID-19 in Burnie Australia. It also shows impact on the growth of economy.

Variables

The infection rate and the percentage of people washing their hands are influencing the infected number of people. Also, there are death rate and recovery rate and immunity lost rate determining the numbers of deaths, recovered and infected-again people.

for the economy growth, there are several factors, including unemployment rate, infection rate, economic growth rate and government health policy.

Perspective

After some time, people will recovered, also the economic activities.

A model of Burnie during COVID-19

Xinger Liu

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy.

Susceptible can be exposed by go out. resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune.

Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.

COVID-19 outbreak in Burnie, TAS. BMA708 Assignment 3

Yifei MAO

COVID-19 pandemic

Taylor Gendel

okonchatelny

Сымбат Мурат

3 10 months ago

COVID-19 Kazakstan Abdrakhman

Abdrakhman

10 months ago

Agent based Modeling Simulation for Pandemic COVID-19 Disease

Covid-19(ABM)_VHK

Venkata Habiram Koppaka

8

This model aims to show that how Tasmania government's Covid-19 policy can address the spread of the pandemic and in what way these policy can damage the economy.

This model assumes that if the COVID-19 cases are more than 10, the government will take action such as quarantine and lockdown at the area. These policy can indirectly affect the local economy in many different way. At the same time, strict policy may be essential for combating Covid-19.

From the simulation of the model, we can clearly see that the economy of Burine will be steady increase when government successfully reduces the COVID-19 cased and make it spreading slower.

Interesting finding: In this pandemic, the testing rate and the recovery rate are important to stop Covid-19 spreading. Once the cases of Covid-19 less than 10, the government might stop intervention and the economy of Burnie will back to normal.

Model of Covid-19 outbreaks at Burnie (Yingchao Yang,503757)

Mika yang

Model di samping adalah model SEIR yang telah dimodifikasi sehingga dapat digunakan untuk menyimulasikan perkembangan penyebaran COVID-19.

Covid-19: SEIR Model for COVID-19 in Indonesia

Rio Swarawan Putra

COVID-19

Наурызбай Мерейлі

5

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

Ph_Covid19SDM_AngelKateCacayan

angel kate cacayan

36

COVID-19 in USA

Марина Якимова

AGENT-BASED MODEL OF COVID-19

AL JOHN D. CENA

Covid-19 in Swithzerland (2022)

София Козлова

Systemigram Model COVID-19

Devyn Dodge

5

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy.

Susceptible can be exposed by go out. resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune.

Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.

BMA708 Assignment 3

Yifei MAO