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

We add simple containment meassures that affect different paramenters.

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

The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.

COVID-19 spread with containment measures
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Covid-19 Systemigram
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COVID-19 model with hospitalizations and deaths
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Өзіндік жұмыс 2 (агенттік модель)
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Cameroon COVID-19
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This Model was first developed from the SIR model (Susceptible, Infected, Recovered). It was designed to explore relationship between the government policies regarding the COVID-19 and its influences on the economy as well as well-being of local residents. 

 

Assumptions:

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

Government policies reduces the infection and economic growth at the same time.

 


Interesting Insights:

In the first two weeks, the infected people showed an exponential growth, in another word, that’s the most important period to control the number of people who got affected. 

 

Clone of Model of COVID-19 Outbreak in Burnie, Tasmania
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SD 2 COVID-19 Policy
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Өзіндік жұмыс 2 (агенттік модельдеу)
10 months ago
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This is a mitigated model showing the potential spread of COVID-19 across the healthcare system.

COVID phased community model (RC)
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Modelling COVID-19 Waste Generation using System Dynamics
8 months ago
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Tugas Pemodelan Transportasi Laut
Memodelkan persebaran pandemik covid-19 di Indonesia menggunakan insightmaker

Dosen : Dr.-Ing Ir Setyo Nugroho
Pemodelan Corona_Tugas 3_Yustika Athiya Hasna_04411740000023
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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
Simulasi Pemodelan Penyebaran COVID-19 di Indonesia
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COVID-19 Systemigram
11 months ago
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Clone of SIR Model Covid-19
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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 and exposed rate, the period of spreading can be controlled by lockdown policy. 

Susceptible can be exposed by go out.  resident has a possibility to infect and be infected by others. The infection rate, new cases, immunity rate as well as doing exercise can effect the recovery rate. The economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the economy situation will recover as well.   


BMA 708--Assignment 3
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Covid-19(ABM)
10 months ago
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COVID-19 in Brazil
10 months ago
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covid-19 with vaccination control
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Simulasi Pemodelan Penyebaran COVID-19 di Indonesia + Prokes
Simulasi Pemodelan Penyebaran COVID-19 di Indonesia + Prokes
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Simplified Model
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COVID-19
10 months ago
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The SEIRS(D) model for the purpose of experimenting with the phenomena of viral spread. I use it for COVID-19 simulation.
Clone of SEIR - COVID-19 (v.1)
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Collapse of the economy, not just recession, is now very likely. To give just one possible cause, in the U.S. the fracking industry is in deep trouble. It is not only that most fracking companies have never achieved a free cash flow (made a profit) since the fracking boom started in 2008, but that  an already very weak  and unprofitable oil industry cannot cope with extremely low oil prices. The result will be the imminent collapse of the industry. However, when the fracking industry collapses in the US, so will the American economy – and by extension, probably, the rest of the world economy. To grasp a second and far more serious threat it is vital to understand the phenomenon of ‘Global Dimming’. Industrial activity not only produces greenhouse gases, but emits also sulphur dioxide which converts to reflective sulphate aerosols in the atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight back into space, cooling the atmosphere. But when economic activity stops, these aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as much as 1° C to global average temperatures. This can happen in a very short period time, and when it does mankind will be bereft of any means to mitigate the furious onslaught of an out-of-control and merciless climate. The data and the unrelenting dynamic of the viral pandemic paint bleak picture.  As events unfold in the next few months,  we may discover that it is too late to act,  that our reign on this planet has, indeed,  come to an abrupt end?  
Covid 19 - irreversible and catastrophic consequences
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COVID-19 Outbreak in Burnie Tasmania