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COVID-19 Systems Model
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Description

Model of Covid-19 outbreak in Burnie, Tasmania

This model was designed from the SIR model(susceptible, infected, recovered) to determine the effect of the covid-19 outbreak on economic outcomes via government policy.

Assumptions

The government policy is triggered when the number of infected is more than ten.

The government policies will take a negative effect on Covid-19 outbreaks and the financial system.

Parameters

We set some fixed and adjusted variables.

Covid-19 outbreak's parameter

Fixed parameters: Infection rate, Background disease, recovery rate.

Adjusted parameter: Immunity loss rate can be changed from vaccination rate.

Government policy's parameters

Adjusted parameters: Testing rate(from 0.15 to 0.95), vaccination rate(from 0.3 to 1), travel ban(from 0 to 0.9), social distancing(from 0.1 to 0.8), Quarantine(from 0.1 to 0.9)

Economic's parameters

Fixed parameter: Tourism

Adjusted parameter: Economic growth rate(from 0.3 to 0.5)

Interesting insight

An increased vaccination rate and testing rate will decrease the number of infected cases and have a little more negative effect on the economic system. However, the financial system still needs a long time to recover in both cases.

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

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

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

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

Самостоятельная работа COVID-19
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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.


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Systemigram for Soft Systems Methodology (SSM) applied to investigating the complexities of the COVID-19 crisis.
SSM for COVID-19