Insight diagram
This is a mitigated model showing the potential spread of COVID-19 across the healthcare system.

COVID phased community model
Insight diagram
Pada Model ini Terdiri dari 4 faktor dimana model dirancang untuk memenuhui Tugas Akhir Pemodelan dan Simulasi.
Model ini dirancang untuk mensimulasikan kasusus penyebaran covid 19 di indonesia periode 12 Maret - 23 Juli 2020. 
Dalam penrancang model ini dapat dikerjakan berkelompok yang terdiri dari 
Arinus Wantik  dan Andrew Chivas Arsenal Rico.


Model SEIR Penyebaran Covid Di indonesia
Insight diagram
COVID Model - Infection Rate and Exposure Parameters
Insight diagram
This insight model is designed to give insight into the stability of COVID 19 infection rates due to government policy and the delay between the time people are tested and the reaction of the Government to the testing results.
COVID Control Loop
Insight diagram
COVID-19 in Japan 2020 самостоятельная работа
Insight diagram
Story Telling COVID19
Insight diagram
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)
Insight diagram
 Develop a basic Systemigram / Rich Picture to tell the story of covid 19 mitigation 
Systemigram Covid-19
Insight diagram
COVID 19 Simulation - Scenario A with R0
Insight diagram
COVID-19 в Бразилии (агентное моделирование)
9 months ago
Insight diagram
Covid-19 in Italy
Insight diagram
Системная динамика COVID-19
Insight diagram
Өзіңдік жұмыс
Insight diagram
Santa Maria Covid-19
Insight diagram

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

MscT CSE - SEIR Infectious Disease Model for COVID-19
Insight diagram
Shows the actual and simulated infections.
SUNY Oneonta COVID 19 outbreak control
Insight diagram
Самостоятельная работа COVID-19 2023г.
Insight diagram
COVID-19 model
Insight diagram
SEIR Model_John
Insight diagram
covid in china
Insight diagram

The complex model reflects the COVID-19 outbreak in Burnie, Tasmania. The model explains how the COVID-19 outbreak will influence the government policies and economic impacts. The infected population will be based on how many susceptible, infected, and recovered individuals in Burnie. It influences the probability of infected population meeting with susceptible individuals.

The fatality rate will be influenced by the elderly population and pre-existing medical conditions. Even though individuals can recover from COVID-19 disease, some of them will have immunity loss and become part of the susceptible individuals, or they will be diagnosed with long term illnesses (mental and physical). Thus, these variables influence the number of confirmed cases in Burnie and the implementation of government policies.

The government policies depend on the confirmed COVID-19 cases. The government policies include business restrictions, lock down, vaccination and testing rate. These variables have negative impacts on the infection of COVID-19 disease. However, these policies have some negative effects on commercial industry and positive effects on e-commerce and medical industry. These businesses growth rate can influence the economic growth of Burnie with the economic

Most of the variables are adjustable with the slider provided below. They can be adjusted from 0 to 1, which illustrates the percentages associated with the specific variables. They can also be adjusted to three decimal points, i.e., from 0.1 to 0.001.


Assumptions

- The maximum population of Burnie is 20000.
- The maximum number of infected individuals is 100.
- Government policies are triggered when the COVID-19 cases reach 10 or above.
- The government policies include business restrictions, lock down, vaccination and testing rates only. Other policies are not being considered under this model.
- The vaccination policy implemented by the government is compulsory.
- The testing rate is set by the government. The slider should not be changed unless the testing rate is adjusted by the government.
- The fatality rate is influenced by the elderly population and pre-existing medical conditions only. Other factors are not being considered under this model.
- People who recovered from COVID-19 disease will definitely suffer form immunity loss or any other long term illnesses.
- Long term illnesses include mental illnesses and physical illnesses only. Other illnesses are not being considered under this model.
- Economic activities are provided with an assumption value of 1000.
- The higher the number of COVID-19 cases, the more negative impact they have on the economy of Burnie. 


Interesting Insights

A higher recovery rate can decrease the number of COVID-19 cases as well as the probability of infected population meeting with susceptible persons, but it takes longer for the economy to recover compared to a lower recovery rate. A higher recovery rate can generate a larger number of people diagnosed with long term illnesses.

Testing rate triggers multiple variables, such as government policies, positive cases, susceptible and infected individuals. A lower testing rate can decrease the COVID-19 confirmed cases, but it can increase the number of susceptible people. And a higher testing rate can trigger the implementation of government policies, thus decreasing the infection rate. As the testing rate has a strong correlation with the government policies, it can also influence the economy of Burnie. 

BMA708 COVID-19 Outbreak in Burnie, Tasmania