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системное моделирование
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Системная динамика COVID-19 в Казахстане в 2020 году
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A simple Susceptible - Infected - Recovered disease model.
Covid-19 in USA
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COVID-19 Week 7
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 Жүйелік динамика SIR ауру үлгісі
Covid-19 in USA(2021).
12 months ago
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Агентное моделирование COVID-19 в Китае
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Air Quality and the Effects it has on Human Health in America Post COVID-19
11 months ago
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2 өзіндік жұмыс
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SIR Modeling of Covid-19 in Cameroon
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Introduction;

This model shows COVID-19 outbreak in Burnie have some impact for local economy situation and government policy. The main government policy is lockdown during the spreading period which can help reduce the infected rate, and also increase the test scale to help susceptible confirm their situation.


Variables;

Infection rate, Death rate, Recovery rate, test rate, susceptible, immunity rate, economy growth rate

These variables are influenced by different situation.


When cases over 10, government will implement lockdown policy.


Conclusion;

When cases increase too much , they will influence the economic situation.


Interesting insights:

If the recover rate is higher, more people will recover from the disease. It seems to be a positive sign. However, it would lead to a higher number of recovered people and more susceptible. As a result, there would be more cases, and would have a negative impact on the economic growth. 

Model of COVID-19 Outbreak in Burnie, Tamania ( WANTING BAO, 536865)
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Simulating virus infecting a body after entering, replicating inside living cells, and the body's immune response towards the virus
VirusModel
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This is the third in a series of models that explore the dynamics of infectious diseases. This model looks at the impact of two types of suppression policies. 

Press the simulate button to run the model with no policy.  Then explore what happens when you set up a lockdown and quarantining policy by changing the settings below.  First explore changing the start date with a policy duration of 60 days.
SIRD Epidemic Model with Suppression Policies
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COVID-19 SEIR Model for Indonesia
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PROYECTO COVID-19
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covid-19
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Tugas Kelompok Teknik Pemodelan dan Simulasi
Самостоятельная работа Covid-19
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COVID-19 Kazakstan Abdrakhman
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Check how different times of recovery and deths in cases of covid-19 infulence 2 key mortality indicators:
Overall mortalityr ate (ratio of all deaths to all cases)
Resolved cases mortality rate (ratio of all deaths to recovered cases)

Assumed delays are:
5 weeks for recovery cases
2 weeks for death cases
Delays are built into conveyor stocks, so cannot be adjusted by slider

keep in mind Insigth uses similar but made-up numbers and linear flow of new cases (in opposition to exponential in real world)  
Understanding Covid-19 mortality
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Simulation of how a virus infects after entering the body, how it replicates inside living cells, and how the body's immune system responds towards the virus
System Dynamic Model 1b (Previously-infected individual)
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Pemodelan Epidemiologi COVID-19