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Wolstenholme & Moya in COVID-19 reducing infection
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Озиндик жумыс 2
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Tugas Kelompok Teknik Pemodelan dan Simulasi
Самостоятельная работа Covid-19
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STAKEHOLDER INSIGHT
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System dynamics covid-19 in India
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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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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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Covid-19 SSM
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Самостаятельная работа часть 1 Акилбеков Асет
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Dinâmica epidemiológica do Covid-19 (SD)
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Covid-19 in Belarus
8 months ago
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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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Системная динамика COVID-19 в Китае
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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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Simplified Model_v2
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COVID-19 in Japan СРС-1
7 months ago
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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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Based on the SIR (Susceptible, Infected, Recovered) model of disease, this is an upgraded model with more specifc vaeriables.

Government policy includes quarantine and social distance. Quarantine can reduce the exposed people as more people are staying at home, while social distance can reduce the infected people who are exposed. 
However, quarantine has negative impact on ecnomic activity. The economic activity also be influenced by the offline shopping sales volume growth rate, online shopping sales volume growth rate and economic growth rate. As most people are staying home for quarantine and less people exposed, thus, the offline shopping sales volume can be much lower than online sales volume.

Insights:
When the growth rate and the number of the recovered is much larger than deaths, the economic activity remain steady growing.
Clone of Yini Song 547059 Model of COVID-19 outbreak in Burnie Tasmania
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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
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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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Modèle simple de causalité entre mesures et impact
COVID-19