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Tugas Kelompok Teknik Pemodelan dan Simulasi
Самостоятельная работа Covid-19
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Model of Covid-19 outbreak in Burnie, Tasmania

Balancing Health and Economy factor
Vaccination rate will help to recovered more people and decrease the immunity loss rate.


Additionally. The lack of food during the covid-19 pandemic still an obstacle for economic development.

In someway, Health balancing in every people will help to shut down covid-19 and help economic development even grow up faster.


Model of Covid-19 outbreak in Burnie, Tasmania
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STAKEHOLDER INSIGHT
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Influenza vs COVID-19
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Covid-19 SSM
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Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.

Infectious Disease Model (Version 4.0)
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Dinâmica epidemiológica do Covid-19 (SD)
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EL NIDO, PALAWAN COVID-19 CASES / MAY 15, 2021 

El Nido Population- 50495 
Infected- 96 
Recovires- 33

EL NIDO COVID-19 CASES
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Системная динамика COVID-19 в Китае
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Modèle simple de causalité entre mesures et impact
COVID-19
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Covid-19 in Belarus
7 months ago
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Самостаятельная работа часть 1 Акилбеков Асет
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Озиндик жумыс 2
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Simplified Model_v2
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Modelo epidemiológico simples
SIR: Susceptíveis - Infectados - Recuperados

Clique aqui para ver um vídeo com a apresentação sobre a construção e uso deste modelo.  É recomendável ver o vídeo num computador de mesa para se poder ver os detalhes do modelo.


Dados iniciais de infectados, recuperados e óbitos para diversos países (incluindo o Brasil) podem ser obtidos aqui neste site.
Modelo SIR simples - Covid 19
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In this activity show the system dynamics model or the SDM, we can see the covid-19 flows and transition or links.
SD MODEL FINAL COVID-19
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This model shows an SIR model of COVID-19 infection in the Philippines. The data used in this model are recent data from COVID-19 statistics reports this 2023.
Covid -19 Model
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COVID-19 in Japan СРС-1
6 months ago
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Model di samping adalah model SEIR yang telah dimodifikasi sehingga dapat digunakan untuk menyimulasikan perkembangan penyebaran COVID-19.
Clone of SEIR Model for COVID-19 in Indonesia
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Spread of Covid-19
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Dieses Causal Loop Diagramm (CLD) versucht in vereinfachter Weisse die Wesentliche Dynamik des Mars-CoV-2 zu veranschaulichen. Der Motor hinter den Infektionen ist offensichtlich eine selbstverstärkende Rückkopplungsschleife, und ausschlaggebend in diesem Bezug ist der R-Wert. Wenn der R-Wert unter 1 liegt, dann heisst das, dass eine infizierte Person während des Zeitraums, in dem sie infektiös ist, weniger als eine andere Person infiziert.  Liegt der Wert über 1, dann steckt die Infizierte mehr als eine andere Person an, und das Virus verbreitet sich exponentiell. Die Schleifen, die blaue Pfeile enthalten, sind negative Rückkopplungsschleifen – sie bremsen die Verbreitung des Virus. Das Diagramm suggeriert, dass der R-Wert als Schlüssel zur Kontrolle der Verbreitung des Virus dienen könnte. Sollte der Wert über 1 steigen, so müssten  Schutzmassnahem eingeführt werden. Ist der Wert unter 1, dann sind die negativen Schleifen dominierend und einige Massnahmen könnten gelockert werden. 

Eine Systemische Sicht auf Covid-19
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This model demonstrates the relationship between the covid-19 outbreak, government policy, and economic impacts. This model was developed based on SIR model (Susceptible, Infection, Recovery). The model also outlines the policies been implemented by the government to cope with Covid-19 pandemic and it also indicate its economic impact. 
Interesting insights
This model indicates the government policies have had positive influence on economic impact and it reduce its negative effects on the economy.
The model of COVID-19 outbreak in Burnie Tasmania