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Covid-19 SSM
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System dynamics covid-19 in India
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ABM COVID-19
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Озиндик жумыс, ковид германия
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Самостаятельная работа часть 1 Акилбеков Асет
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Системная динамика COVID-19 в Китае
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A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy.  Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover

Assumptions
Govt policy reduces infection and economic growth in the same way.

Govt policy is trigger when reported COVID-19 case are 10 or less.

A greater number of COVID-19 cases has a negative effect on the economy.  This is due to economic signalling that all is not well.

Interesting insights

Higher testing rates seem to trigger more rapid government intervention, which reduces infectious cases.  The impact on the economy though of higher detected cases though is negative. 




Clone of Burnie COVID-19 outbreak demo model version 2
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Өзіндік жұмыс
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Dinâmica epidemiológica do Covid-19 (SD)
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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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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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Variant of the model "COVID-19 spread" made by Anxo-Lois Pereira and Miquel Martínez de Morentin, including reinfection, permanent immunity and Vaccines. Made for the subject of TAED.
COVID-19 spread with reinfeccion, permanent immunity and vaccines
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ИКТ2.2
10 months ago
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Spread of 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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Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

Clone of SEIR Infectious Disease Model for COVID-19
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SIRD COVID-19 Seoul
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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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Өзіндік жұмыс
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COVID-19 Systemigram
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me society and covid-19