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covid-19
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This is a mitigated model showing the potential spread of COVID-19 across the healthcare system.

COVID phased community model DEMO V1.1 Eastern
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Covid-19 Russia
5 months ago
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Tugas Kelompok Teknik Pemodelan dan Simulasi
Самостоятельная работа Covid-19
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This diagram will map out the spread of the Coronavirus (SAR-CoV-2) and its complexities of health care.
Covid-19
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COVID-19 model
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My Insight 2 covid-19
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SIR model with deaths by disease. We are working on the speficication of this model for it to represent the global development of the COVID-19 pandemic. This project is ongoing under the responsibility of PPGEA Pandemics Task Force Team, from Universidade Federal de Viçosa - UFV.

More details to be added.

SIR with deaths
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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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COVID-19 Stakeholder map
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This is the first in a series of models that explore the dynamics of and policy impacts on infectious diseases. This basic  model divides the population into three categories -- Susceptible (S), Infectious (I) and Recovered (R).  

Press the simulate button to run the model and see what happens at different values of the Reproduction Number (R0).

The second model that includes a simple test and isolate policy can be found here.
Future Learn Basic SIR Model
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Simplified Model_v2
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COVID-19 SD MODEL
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Ковид в Казахстане Өзіңдік жұмыс
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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 visualizes the Covid-19 hypothetical transmission at Barangay Busybees, Taytay, Palawan.
Hypothetical Situation: Barangay Busybees:
- Has a total population of 500 individual.
- Is a rural area.
- Strictly implemented health protocols.
Conclusion: Given the population and situation, transmission of Covid-19 is observed to be less in earlier stage but once transmission start it became rampant. Despite the rampant transmission, the strict implementation of protocols made recovery of people from Covid 19 possible with 92% recovered from the covid.

Model 2
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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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Contágio da COVID-19
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Model ini dirancang untuk membuat model tentang penyebaran Covid-19 dan vaksinasi di Kabupaten Sleman pada November 2022

Model ini dibuat untuk memenuhi tugas kelompok dari matakuliah Metode Penyelesaian Masalah dan Pemodelan, atas nama :
Sabilla Halimatus Mahmud
Nurul Widyastuti
Muhammad Najib



Clone of Edit Model Penyebaran Covid-19 di Kabupaten Sleman
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Covid-19 in Belarus
5 months ago
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өзіндік жұмыс