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Systemigram Model Building Exercise (COVID-19)
Profile photo Josiah Best
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This Model was developed from the SEIR Model (Susceptible, Exposed, Infected, Recovered) and it predicts the COVID-19 outbreak in Burnie, Tasmania. This pandemic outbreak contributes to diverse rates including infection rate, death rates and recovery rate, government policies and its economic impacts.    

Assumptions:

 This model is driven by its determined rates, e.g., incubation rate, morality rate, test rate and immunity loss rate and its recovery rate.

Government policies are involved in fully vaccination rate, social distance, national border closure, travel, and business restriction which effect Burnie’s economy.

There are three economic entities dimensions in Burnie Island, we can tell that the pandemic has negative impact on Brick-and-Mortar enterprises and tourism business to some extent, whereas, e commercial business plays a crucial role to stimulate the regional economic activities during the COVID-19 period.

 

Interesting Insights:

 The figure of susceptible changes significantly during the initial 3 weeks because of low recovery rate and high infection rate. On the other hand, the implementation and interventions of government policies is effective, because the number of patients who tested negative is increased and the majority of them release and go back home after medical follow-up. 

Xueli Huang 501514, BMA708 Model of COVID-19 Outbreak in Burnie, Tasmania
Profile photo XUELI HUANG
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COVID-19 Model
Profile photo Marcus Fechner
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COVID-19
Profile photo Аяулым Халыктай
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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
Profile photo LU JIN
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Covid-19 Pandemie Modell
Profile photo Kieran Rottonara
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COVID-19 в США
Profile photo Sayazhan Kabdolla
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The model represents the interaction between influenza and SARS-CoV-2. The data used is for Catalonia region.
Influenza and SARS-CoV-2 interaction v1
Profile photo Pau Fonseca
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Profile photo Emir Abe Putra Agastha
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Profile photo Нурым Бекназым
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COVID-19 Systemigram Model Building Exercise
Profile photo Josiah Best
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Covid-19 model
Covid-19
Profile photo sakon supakul
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  • tingkat interaksi fisik : 1-10 orang per hari
  • penerapan prokes 0%-100%
  • penanganan pemerintah : minim (<40%) cukup (40%-70%) baik (>70%)


covid-19
Profile photo Nismara Chandra Herdiputra
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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
Clone of Simulasi Pemodelan Penyebaran COVID-19 di Indonesia
Profile photo Rudi Haryanto
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